(* Content-type: application/vnd.wolfram.mathematica *)

(*** Wolfram Notebook File ***)
(* http://www.wolfram.com/nb *)

(* CreatedBy='Mathematica 11.0' *)

(*CacheID: 234*)
(* Internal cache information:
NotebookFileLineBreakTest
NotebookFileLineBreakTest
NotebookDataPosition[       158,          7]
NotebookDataLength[   1483480,      26275]
NotebookOptionsPosition[   1448896,      25701]
NotebookOutlinePosition[   1449424,      25720]
CellTagsIndexPosition[   1449381,      25717]
WindowFrame->Normal*)

(* Beginning of Notebook Content *)
Notebook[{

Cell[CellGroupData[{
Cell["An\[AAcute]lisis Matem\[AAcute]tico II", "Title",
 CellChangeTimes->{{3.698422872527462*^9, 3.698422878492705*^9}}],

Cell["Clase de Trabajos Pr\[AAcute]cticos", "Chapter",
 CellChangeTimes->{{3.6984228841457243`*^9, 
  3.698422891732194*^9}},ExpressionUUID->"b8597453-cd75-4fbd-a5b6-\
37475b7c4c65"],

Cell[CellGroupData[{

Cell["JTP: Ing. Talijancic Iv\[AAcute]n", "Chapter",
 CellChangeTimes->{{3.698423100822274*^9, 
  3.698423109918743*^9}},ExpressionUUID->"7eb0c3f2-1e57-4868-9211-\
daf079e3a279"],

Cell[CellGroupData[{

Cell["Unidad Tem\[AAcute]tica 1: \[OpenCurlyDoubleQuote]Funciones con Valores \
Vectoriales\[CloseCurlyDoubleQuote]", "Subchapter",
 CellChangeTimes->{{3.698422897206033*^9, 3.698422918486144*^9}}],

Cell[CellGroupData[{

Cell["Ejercicio 1:", "Section",
 CellChangeTimes->{{3.698422924642523*^9, 3.69842292845726*^9}}],

Cell["Esquematizar las superficies:", "Text",
 CellChangeTimes->{{3.698422930290539*^9, 3.6984229384843655`*^9}}],

Cell[CellGroupData[{

Cell[TextData[{
 "Inciso a): ",
 Cell[BoxData[
  FormBox[
   RowBox[{
    RowBox[{
     RowBox[{
      SuperscriptBox["y", "2"], "-", 
      RowBox[{"4", "x"}]}], " ", "=", " ", "0"}], ";", " ", 
    RowBox[{"y", " ", "\[GreaterEqual]", " ", "0"}]}], TraditionalForm]]]
}], "Subsection",
 CellChangeTimes->{{3.698422943899291*^9, 3.698422973440284*^9}, 
   3.6984239147338586`*^9}],

Cell[CellGroupData[{

Cell[BoxData[
 RowBox[{"s1", "=", 
  RowBox[{"Solve", "[", 
   RowBox[{
    RowBox[{
     RowBox[{
      SuperscriptBox["y", "2"], "-", 
      RowBox[{"4", "x"}]}], "\[Equal]", "0"}], ",", "y"}], "]"}]}]], "Input",
 CellChangeTimes->{{3.6984229787780952`*^9, 
  3.6984230053289585`*^9}},ExpressionUUID->"c42e2b4e-b4e6-4675-a1f3-\
e4e4cae7855f"],

Cell[BoxData[
 RowBox[{"{", 
  RowBox[{
   RowBox[{"{", 
    RowBox[{"y", "\[Rule]", 
     RowBox[{
      RowBox[{"-", "2"}], " ", 
      SqrtBox["x"]}]}], "}"}], ",", 
   RowBox[{"{", 
    RowBox[{"y", "\[Rule]", 
     RowBox[{"2", " ", 
      SqrtBox["x"]}]}], "}"}]}], "}"}]], "Output",
 CellChangeTimes->{{3.6984229978326287`*^9, 3.698423005568128*^9}, 
   3.6984257801745687`*^9, 3.69842730877858*^9, 3.698427366657753*^9, 
   3.699087692412507*^9, 3.6992004204770203`*^9, 3.699201315355054*^9, 
   3.6992022588356314`*^9, 3.69920232975928*^9, 3.699202369189997*^9, 
   3.699210363943077*^9, 3.6998120083190155`*^9, 3.701424042923068*^9, 
   3.7014257287462225`*^9, 3.7014267070880775`*^9, 3.7014287329070015`*^9, 
   3.7014453391355143`*^9, 3.7014456765953255`*^9, 3.7014468634971905`*^9, 
   3.729931834407411*^9, 3.7300229569634037`*^9, 3.732296500124094*^9, 
   3.765562854732313*^9},ExpressionUUID->"b215e02f-d030-4273-8c22-\
fba6b5eae69d"]
}, Open  ]],

Cell[BoxData[
 RowBox[{
  RowBox[{"Fy", "[", "x_", "]"}], ":=", 
  RowBox[{"s1", "[", 
   RowBox[{"[", 
    RowBox[{"2", ",", "1", ",", "2"}], "]"}], "]"}]}]], "Input",
 CellChangeTimes->{{3.698423052883793*^9, 3.6984230675021715`*^9}, 
   3.6984231219763165`*^9},ExpressionUUID->"cf6a8a2d-2dbc-444e-938f-\
f8a63b9082ac"],

Cell["Traza en el plano \[OpenCurlyDoubleQuote]xy\[CloseCurlyDoubleQuote]:", \
"Text",
 CellChangeTimes->{{3.731794013199594*^9, 
  3.731794024838599*^9}},ExpressionUUID->"e2f2c1fc-96e0-4ba4-82f7-\
8009f2a462ae"],

Cell[CellGroupData[{

Cell[BoxData[
 RowBox[{"Plot", "[", 
  RowBox[{
   RowBox[{"Fy", "[", "x", "]"}], ",", 
   RowBox[{"{", 
    RowBox[{"x", ",", "0", ",", "10"}], "}"}], ",", 
   RowBox[{"AxesLabel", "\[Rule]", 
    RowBox[{"{", 
     RowBox[{"\"\<x\>\"", ",", "\"\<y\>\""}], "}"}]}]}], "]"}]], "Input",
 CellChangeTimes->{{3.6984231246622257`*^9, 3.6984231557973676`*^9}, {
  3.698424103290262*^9, 
  3.6984241151728754`*^9}},ExpressionUUID->"455f4aef-5991-4872-b70a-\
ffeb3807bfb2"],

Cell[BoxData[
 GraphicsBox[{{{}, {}, 
    TagBox[
     {RGBColor[0.368417, 0.506779, 0.709798], AbsoluteThickness[1.6], Opacity[
      1.], LineBox[CompressedData["
1:eJwVzXk81AkfwHFy5Yxx/nLM8BM1YXleUiHf76JkyJNE5ViZYqyrzZNW0Rar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       "]]},
     Annotation[#, "Charting`Private`Tag$2160#1"]& ]}, {}, {}},
  AspectRatio->NCache[GoldenRatio^(-1), 0.6180339887498948],
  Axes->{True, True},
  AxesLabel->{
    FormBox["\"x\"", TraditionalForm], 
    FormBox["\"y\"", TraditionalForm]},
  AxesOrigin->{0, 0},
  DisplayFunction->Identity,
  Frame->{{False, False}, {False, False}},
  FrameLabel->{{None, None}, {None, None}},
  FrameTicks->{{Automatic, 
     Charting`ScaledFrameTicks[{Identity, Identity}]}, {Automatic, 
     Charting`ScaledFrameTicks[{Identity, Identity}]}},
  GridLines->{None, None},
  GridLinesStyle->Directive[
    GrayLevel[0.5, 0.4]],
  ImagePadding->All,
  Method->{
   "DefaultBoundaryStyle" -> Automatic, "DefaultMeshStyle" -> 
    AbsolutePointSize[6], "ScalingFunctions" -> None, 
    "CoordinatesToolOptions" -> {"DisplayFunction" -> ({
        (Identity[#]& )[
         Part[#, 1]], 
        (Identity[#]& )[
         Part[#, 2]]}& ), "CopiedValueFunction" -> ({
        (Identity[#]& )[
         Part[#, 1]], 
        (Identity[#]& )[
         Part[#, 2]]}& )}},
  PlotRange->{{0, 10}, {0., 6.32455525580048}},
  PlotRangeClipping->True,
  PlotRangePadding->{{
     Scaled[0.02], 
     Scaled[0.02]}, {
     Scaled[0.05], 
     Scaled[0.05]}},
  Ticks->{Automatic, Automatic}]], "Output",
 CellChangeTimes->{3.698423156889161*^9, 3.6984241154811163`*^9, 
  3.6984257804197435`*^9, 3.69842730894171*^9, 3.698427366829867*^9, 
  3.699087693171113*^9, 3.699200421144494*^9, 3.6992013154241*^9, 
  3.6992022590007668`*^9, 3.6992023298383455`*^9, 3.6992023694381733`*^9, 
  3.699210364200271*^9, 3.69981200956433*^9, 3.701424044551271*^9, 
  3.701425728930335*^9, 3.7014267072762117`*^9, 3.70142873313016*^9, 
  3.7014453397659316`*^9, 3.7014456769755974`*^9, 3.7014468637894144`*^9, 
  3.729931834825478*^9, 3.730022957409445*^9, 3.7322965003560057`*^9, 
  3.765562855053863*^9},ExpressionUUID->"12ba768d-66b8-47d1-a2d3-\
9eb5c96de684"]
}, Open  ]],

Cell[CellGroupData[{

Cell[BoxData[
 RowBox[{"sup1", "=", 
  RowBox[{"ParametricPlot3D", "[", 
   RowBox[{
    RowBox[{"{", 
     RowBox[{"t", ",", 
      RowBox[{"2", "*", 
       SqrtBox["t"]}], ",", "z"}], "}"}], ",", 
    RowBox[{"{", 
     RowBox[{"t", ",", "0", ",", "10"}], "}"}], ",", 
    RowBox[{"{", 
     RowBox[{"z", ",", "0", ",", "10"}], "}"}], ",", 
    RowBox[{"AxesLabel", "\[Rule]", 
     RowBox[{"{", 
      RowBox[{"x", ",", "y", ",", "z"}], "}"}]}], ",", 
    RowBox[{"PlotStyle", "\[Rule]", 
     RowBox[{"RGBColor", "[", 
      RowBox[{"0", ",", "1", ",", "0", ",", "0.5"}], "]"}]}], ",", 
    RowBox[{"AxesLabel", "\[Rule]", 
     RowBox[{"{", 
      RowBox[{"\"\<x\>\"", ",", "\"\<y\>\"", ",", "\"\<z\>\""}], "}"}]}]}], 
   "]"}]}]], "Input",
 CellChangeTimes->{{3.698423413369162*^9, 3.698423479154383*^9}, {
   3.6984235400246677`*^9, 3.698423579464204*^9}, {3.6984236110286508`*^9, 
   3.6984236224507866`*^9}, {3.698423671661768*^9, 3.6984236811044827`*^9}, {
   3.6984251501779327`*^9, 3.6984251570388126`*^9}, {3.69842522466241*^9, 
   3.6984252249065833`*^9}, {3.698425292398577*^9, 3.6984253107115993`*^9}, 
   3.69842736481244*^9},ExpressionUUID->"44b0bfcd-9021-4b3c-9544-\
d0ca70c9e8c1"],

Cell[BoxData[
 Graphics3DBox[GraphicsComplex3DBox[CompressedData["
1:eJyNnXm4VlW9gA/zFIPMiibo8VqaoGZapp7jCCe58eQQIqI4pD3hcaKwAsUB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   "], {{
     {RGBColor[0, 1, 0], Opacity[0.5], EdgeForm[None], 
      StyleBox[GraphicsGroup3DBox[
        TagBox[{Polygon3DBox[CompressedData["
1:eJwtmgncF9MXxmd+d+5b2ZdStCNLSUmLEEJkq0QlKZEWRTtKWUL2LUsJWRIh
CUVZoiJryJpspSIViUqqv/p/H8/9fN7z3mfO3N/MnbnnnHvuc6b2hQPa9y9l
WXZdyDL+siP4NwApn2fZDjHLPkAepcM7HD9B254+O6L7EHmM451oP0IeB+9C
+zHyJPgj+j9Lew79d0P3KTKZ491pFyJPg/eg/Qx5Brwr7SfIU+C3+e1E2jP5
7TlFll2M/jKOz0CqM7bv0LcGVwEvAp8Mrgz+GtyR/r3pPwTdcchu6D9Bfwp4
b/A34BM434x+H4JP5F5lSEROpc8+9FmMfi+Oc+RL8ALaKZzrDJ4Nfhh8KngZ
eC54IHhPrvkF8rzeFdc4FdwV/THgbsiu9P0JmcP5AehXgN8GDwIvBb8F7g/+
GfwOeDB4CfhN8KXgl7lGPaQNuBzXfhcZx7nX6fMgbWv0Bbq3kTEcT0d/D21L
9DPA94KPB1fg/PvIeI5fRn8f7Qnoy9DNR8Zy3IL7nIfswvk3kIfQnUKf8px/
D3mA45Xo36UdqvcJDkiGnIBuT377GYcNZVjgN2kOA+fgt2Rj4PLg98BHgncA
fwBuAN6OzAbfz/w8z702cDwWPA28ETwO/AL4b/B+yHrkRfp34d7nIv8DH4Vu
x+D5rYRuO+185DR++whSA9wHfRXkV/Bn6N4ujJvz2wr89n3wg+hmcK/I8eHo
A+1c9OPRT0dfcNwIfYl2DvquXO88ZBv4eNk3+oXgiuj+pX1F9iA/Qb8AvB/t
/snv7qJPHb3zNM4JyC/gVuhbIivAx6Frx33P5hptkZr0/wF9O3At8I/gh+jz
Cn0qylbQ16D9Hv3B4M3ILNkYshzR9Myj/8LC76Ieiq3Ia+jr0m5BXgU/wPkX
ueb/5JNIba65BH1t8J/INHBL+Tb6T8HHyp/BH4Pbg/cFLwUPTc9SDtkb/Srk
afSrOf4AfAX4V/B74MvA48CXg+uAx+aOAfuD7wUP1jjA9+X29X3B/2OcrzPO
YRw/gv4q2nro/0X/BvrhHE9AP5K2rmyPcXVEdpSNI1eiP0i2Bx4q+5Itcf4c
ZCfZN9d4C7mJc9u45mzwKPBTnBtN25guj4KvBh+i98v5ucgtHD+H/jba5uin
gm8HHymX4fwc5GaOp6C/lfYI9E+ArwMfBn4YPAJ8MHgt+GPwSI2N322JftfH
0m6PjoMtafMyx7uWjPNMjjvofrSbo+3vaNqt0fGxvuI47etcs4XmOXouj4sK
DI6znbhOn+j30pq2QpntoFGyzWUprgb0VdGfKL8pc7xuBS4rsy0ey3VeQz6n
/0noy5XZjk8Gly+zHR8PLpU5Fr9O34eR3RXD0e9QZntaxX3fZyyXo58Evh7c
CHw3eIDWCfA+9P8OmclxNdofkFflx7TzkLvB39H/Ndo+9K+K7ntkFsfPo7+D
9ij0R3O/c5GdZSPIRYpx6EeCe4IrgoeBe8jnwXtzjW+RV7Qu0X6DzAAP4zmW
cJ0R9PmR/rPRXQL+BTwfPARchb6LkZc5Ppa+3ZHdOF8J3VfIC+j3ov0aeRH8
Bedeor1AcQbdl8g0jp9EfwPt4eivBvcCVwLfCO6rtRN8G/h8zT34enAXxWXw
NeDO4HLgq8DnlP4zg+xOsJKFauDRinWKleBbwN0UcxWjGO+FyO7obkK6Kr6j
HwXurbGDR4A7lf5zp+yK3LapGHgzuJ/WafCt4Eu0HoNvB18Krppi4KDg97wZ
/CoXuVhrG31WZo6ZzTl/NrIDuuFIR87TNbsD3B28M/hFFC8hW8HTaT8uvHY0
pM9+aR15C92zyJXgy2lvi7aVy8C3JlsaDL4pzfUI8N3Ra/lw8J3Rc3wl+K7o
tbyEfI7czTXP4j7tkQ1aJjWXyBjwEPrfnOx2JHhMdN4wB/wccgt9rqN9IDpu
XgW+NzpvGKrzyYZHgx9SXgW+HjwevAB8A/jB6DiyPuUho2Qb8jXlajoGj4v2
sTHgZ8C/gO8CTwavAN8Gnij7Bt8Kfhy8CHyT1lnZIvhm8KOyXfBcrekaN/ca
RHtjsvM7wU+Cf5QNySeRBzVf6CfJb/W+wE+DfwbfAn5MPiB/Q5Yhj9G/s2wV
2QLeE91y5HHwPZpH+q/UGoX8hDyq+EC7GnlGawp9ptDnN47v03sG/y4/z20j
kxUfOF6DPCubpM8TihccXw2+L9qHrwWPjV7Dzip5ba2TO35MAjcFf0u7uHDs
3AfHWgRuw/nfaKcinXLjLVqf5AfKtThex33XaJxIh6T/GXx60v8mu1dewzU/
5/hkjvvTfhScc+qdfxEcZ2TD3wWvubKZxcGxdIB8ITinHQj+LDgX/Tw6pz2E
40vQvxecl14K/iA4d/1OeqQ6Y7iG9v7oHHE1eFVhe18me9DYwDuWOc85QDEO
fAb926ZY+1SKt3uU2U8b6hj8u3KZlAu/lTsf3gX9U/Spi66X/Do4V5cfd0m+
rPtehf4kjvek/yscHxac09UunNctlw0jpygvpF2ptTO3/jb6tQY3Dl6/tF/Y
xnhPRw4PznkbFs57f6L9FNmfPj/SflJ4LOvpexrSKPjdjk7rgt759SmedwcP
ic4DDuY31ZC1mZ/1rpKfV+vIHfR5g+P+6GukGPIF+neQ1bJ5dBemHOli5Vu5
9Y/TDkLfEPxk4ff2B/gg9FVld+AP0H2F1NQaS/tl4Xvsy+/+Ql6gTy3adVon
wZ/m3iN2A/ej7zWMbSrHn6B/pOR9UN3cdiEbnlx4/v7MbNeXpOeU7fyV7Ed7
D50/T7kQuvmF30Nf+Uwa5zeybeQf8MuF51R59kHc8x9kZuZ3/3d6/wORWrn7
78D5b5Hx4K3oPlIMAzfQc6YYMo3fLSiMX0B3rdZk5S1axxj/V5n3iEXufaLm
fGma969pP9S95VO536XwEq1ZmidwM62xXOdd8GG5f6e9Q3ety0gJObFkm5Nd
dcu915J+Ye799/noP8u9/+4ObiufSO/56dy5cFPwM7nz32aKk9y/X3S+2w08
MDp/OldzEZ1rngfuH51DdwFfGp03v5Ty0pZcpyv6AdH57rzc+03t2c9HPyg6
/5APy77OQC5APzQ6D56VO+c9Cf2ruXPkk8E96HN5dO41M3eu3Uq/B5+efOFC
+lwWnUPPyZ3HtUU/N/fet53W99y5+XHg08CnJptRHq8YcozsPPc+uJPiW27O
QXnUV7k5jB6Z/b8d8hf4/dx7347gnoxhePTe+73ce/EO6HujHxHNESgWXRm9
f1bMvDaaH1DMHJXyNMXn61Jetzg3F9JbfpF7L342+CL6XBG9h/8mN3fSC/2i
3JxKT3AfxbdozuVNrdeaY/k+7dXR/MXXufmVi9A3LjlmKe4ph/kqeC9/eOGY
JptsUvI+cp7mOvEYR8g2U17aPPfeWWvNASkONU+x6LLc65/y9o2Zc1iNZ1Pm
3FA51WZkj9z5jHIDxX8dKzcrn/IExYdmyZ4VAyalOCB/OjL5VA/GchFyVG4e
4tg8+4+L0O8qlpnLuCDlpfpNp7Sna5JiSZNkG53T2tM0xcvGKWb205qn/VDu
OLNX4Xygb+F3refSml1bdpD5XmvSM3ZIMefmNM4t6Xl7giuU/Ixdk+8rJvRG
X6Xk62vtUtx6WfOI/sCSOYSnuee84NjYIzeHVTnZtey7Qeb9vTi8kvwld35c
IXfsnRHsjxfl3o/rda3KnC9rvtZk3hPXop1N/9Zpj/zfehHsOzMV5wqPp3OK
mU+l+KYYqDlQTj2j8PqrPWmTwryK9pWNC/M/2rfK5mRv2gMeVZiv0x6waWFe
SPvEIwvzCafzQNUYw7eZ95XNC3Mp2rfWL8wvae95hNaGzHvVowvzEq3kR8F7
H+2LBwfv447Xmhu8jzuG/ocW5nO032xRmMM5QbEreA+1CTyTc+cylhMVi4L3
NSeBhwXvX05WfAjev2j+j0rrzlb0faN5Dc3/4mQDZ6U9y+F6b8iEkuf3TfCd
Jc/XNPA1Jb9/8TXqK87qe65ZCTvvw+87JE5Dtisb66W9fu517IW0lk3m+Aqu
0wQ8BnxByXP9mNbIku1HNvhrskOtZcpR6+e23w9LtuEvkm0cmNs2NyX7bEpb
Fsy5DQzOdXdL/lKZcT5Xsn+8XrKPiIs4pDBPqNjyfYoVJyc/rJnZTlslW+2d
bP4ncK+0Jn6R1s0Tku+L31Oup/uK21POqXf1Tsrx5NcnpX7SK0dqne6l9Vp5
9PDMfqV7xbSGaC1pkTlHaZvi0gqut67w+tQm6btkzlX0m0M1huB8sm/mnE37
PuEfg3Nj3atqur5i0Z/ofil8HV33v/Uvc04xJeUVelY9s/IB7Xs6Jx/8nfPr
C+uU83RM8Ue50tSUL+2b+ssexFl2TfFnLec3FOZSJV1S/NmoPLEw7h9cI7gg
xS39VnmL3lOPNC+tmNtKwXmReD/1XZY5r+me5kjj75bmTvFJcWrXdB3NcVmK
T4pT5VIM65l7n6/fau4V77U2yWfkL9XSu1qbfKRPsgE97+D0fqanZxycYqKu
K96gZ8Iaw7T0Dgfljutqx6X3oHxySHqmoWlseodD0ntomfR63hXpeFlaX+TD
8l/tMfZJtiGflR/WSnFAa6fisJ6jWpp3rVnyT/mm7Kt6sjHZS9Vkk12C44Vi
xSzG2KiwD/6ccuw2yRZkE7IB2bhsXba0hT4TC8d+8SrXc63KKdZ1iOaD5B/y
E/nOP+i7R3M62r+JdxPn9oDeuXSZfffi5FPX5Y6XlVM8HJhsUjlD/+QL7RNW
/qB30ze9n1MT/i35SL/0vMrLLs2dmz2RfLBfes5Lkm9WS1jvsGZ63uHJv7TX
0O8PEQ9amEM4lDFuQ94AN0T/EvIvx3UK7920p6hTMvf/Ergxur+iawDVS+bI
p8iGOe4bXH/Yv+R9puoUB5RcT5iue4lviObZG4hviObf69OuiebrD6f9M7p2
chjtH9E1kk25+Y8bNF+5OZgbZWspF1IeVaPksT+n+crNzYwGHygeJZr7+D03
JyROshG6dSLltNcumQt5iMO/c/M314Prcv7X6L3fLiVzJA9n5le/Cc5da4Dv
ia6N1aKdgCwE58hnyF2Zudavg/PYv7j+PPTXZuZsvwzOaTXOCoX3aLX1noP7
7ErftcgEzWk0J6a8solyt+BaQ8WSa0OPZ57f1dF713q0q6LrFopjzYJzpEol
15omKrYEr6Wq2xwk3iua96lcct1pEn32Krke9QT4YO13o8e0MTfvdV0a89Jo
vq8NY+wWzRe3BZ8fzcmeDe4ZzavOTj4oHz+Dtms016y8pWM0P6sco1M099oa
3Dmae1W+cU4033qK4nc0tzsxd61EdYSz0F8UzaUqnzkrmodV/tM+midV/vNv
dO2qA/pe0Xy68pyzo7ngduALonnkM8EXRvO27cE9onnb8bl52QO574bc3OYo
+bLWtGge9gjaTdG1ulgyp3gPfcqVzDXeBy5fMm93P7gNfauWOaf5Nzf3dpt8
Obd9XQPejz4/RXOIf+TmPq9Cvy43r3m11lPGcF40X19WMqd4L/ptubnG28FN
Ob8xuhbYjPbv6DrlG4oThWN1UTLHKM62Cec3RNc1ZVBLkDsVK9Atj+YcD6Bd
Ec1Xbs/Nd94hG9ZYkamZ7W2Hwvyn+ueFuWLtAacE19/Ff4nHEYejPfgDyvEy
79nHBdcsIr99B7m/ZF5M/IW4C+1bXwyuy2sfPSm4lq1995Pg0zJzAg8H14sV
52dFx3TN9Y3BdSjZ86jgepzs6ubgWpts5lZw/cx2Mjq4piZ7vja4pib71/cG
ddJcXBNcv5P93BRcm5Nf3BJcRxP/MDa4XiZuYUJwzVp8whPBtWnFruqF+SjF
zBqF65KKzzULc1aaxwML1zQVYysXrj8q9u5dmNdVTK5SmBNWfa1e4Xq0Ym+1
wnO0XbkqxzfyTlogOwfvNVRfq1t47ZCdjwxeE8XpTQyu0R9Ie3nu+kVz+r8c
XXuTz44Irq3IlrTeaK2Rj18ZXPuQvxxUuD4r+zygcD1Xe4rXonN6cTv3BdcQ
xefcH1xzfCX3eE9M4x8cXbNUEeaR4L2Avh94OpgzUc30nmD/Va1zfLC9zc9t
U2clGxsW/Q2B1oVd6PdI5u8TpgbzNqq1TQ62PdVDHwvmoOSnW4M5t32j6wKb
k7+oWKM1QrXRR4P5q/3BT0X71W7I0pLvpVrb58Gchmptn2ifn7mOtjCYw9F3
Jm8G8zz6/mR2MIej71LeCOZtVDseE5y36JuWmcE8kr51eSWYX9I3Es8Fv0Ot
I7sWriPom5M7g+uPqpPeFVx3OyiYh62d+TuWu4NrxF+im1TyOPWNjb7tEK+r
7yueD+bEVOP7MJjTW07/6SV/K6Ia37vBXKtqgu8Hc4D6/kTfnYhr1bc0rwdz
R/reY1owt7YzeGT0dzz6Vue14HlsFcxv6JsX1Z4WBdffxWVNB58LrkbcbRvN
hei7iP2QtzN/C7FvYY5INZF/g3MG1W62BecGDYI5Vs21OOmrg9+J8qu10fmW
eBrxNcphxRup7qsceC/0PxTmP/QdQtXCdWpxoscU5kVV/1wU/Y7Ed83l3MWZ
61/rgmOs6lB/B8d51a02g8dmrnn9GRyrdZ0FwRyg8pYl0flKfXQ/5K7V6h0u
iJ4/cW5zgmvHV4B/AA/LXO/7KXjd0fcYhxWud4sbnx98Hfn+P9GxQ7lhrcL5
oXKW3QvnLaoT6fuMKmn93BC81ijfWBm9Zki/Pnht1VpUKtxHHO1DwTyt1v87
gnMA9Qnp+qr7/Zx+q5rXzoVzRdXCdiqcx+p7m0rIDMW04Fq4OF3VBMsK50Kq
zcXCuZDqg0XhPErz8Wmw3arGtz04Z5MvL4v2YX3bU7FwPqwa4j/Ba72+/9mz
cI6t2o/4euWBqtno2xHFbdUBNwXnCao5bgzOH1Tf/CN4Hb80eB+qfac4M+0V
tU9UvU21anGRyivEN6rWd1LwN3DizlS7ke0dA26n9TC4T/vg/F65/ZnB+aJy
RcWx3ctcV1AuKhsVbyD7Ua1GPKi++dH3O8sz18s0HnGq4u5U31KNQZyKvk0R
53ZK8Dco4vVUM1E9RXWRM4K/DxCvqpqc6i3rtZ4Gf3Om7820/5PPzs9cc1Kt
Qd9CqS6oGrn4vtOCv/dSvUVrk/xTXKC44QaF+WHxS+LxWuR+n61SrFANeg34
psz17qXB36Wodrw6eD+i2ujK4L2DaoK/Bu9ZVLP+JThPVt18WXBupjr12uC8
7lDa33LvTVQHXx6c42l/8WNMewb0q4L3NXoW8WaqNclWxZsdnOZUMUV12OrR
ta1DctftVMfJ0/yK72qQ5lRcVsM01+KyVJ9RbVJ83aFpXsTFqW6mPciuZa4h
6f2L36qX7rV3mXkuzam4NXFl8vE9kr+rNl1OuVfmPfhOZa7PyWdvT3FScVE8
uPayqqWqPlczrQk3RMct1S5eTbFLeFZwLUbzqXx1VYoJD6Y4oFrNMyk+KA6s
SH6quqdqftqXq8+z6Tr/B5IYD4c=
           "]], Polygon3DBox[CompressedData["
1:eJwtmgf8V9Mbx88999yipT3I6B9FpZSQVUb2JiF7jyRkJolIyIwQIauQlb2z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           "]], Polygon3DBox[CompressedData["
1:eJwt13n8TWUaAPD7u1z7mp0QQhFClK1NlJjMFEoLRlFKVPZ9X0OStWiZQg0p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           "]], Polygon3DBox[{{965, 1131, 685, 812, 1354, 964}}]},
         Annotation[#, "Charting`Private`Tag$2261#1"]& ]],
       Lighting->Automatic]}, {}, {}, {}, {}}, {{}, {}, {}, 
     {GrayLevel[0.2], 
      Line3DBox[{375, 597, 1361, 376, 611, 1372, 403, 626, 418, 1469, 641, 
       433, 1474, 656, 448, 1481, 671, 463, 1491, 686, 1408, 478, 701, 1422, 
       493, 716, 1433, 508, 1505, 731, 523, 1509, 746, 538, 1515, 761, 553, 
       1524, 776, 568, 1535, 791, 583}], 
      Line3DBox[{377, 598, 1362, 378, 612, 1373, 404, 627, 1383, 419, 642, 
       434, 1475, 657, 449, 1482, 672, 464, 1492, 687, 1409, 479, 702, 1423, 
       494, 717, 1434, 509, 732, 1443, 524, 1510, 747, 539, 1516, 762, 554, 
       1525, 777, 569, 1536, 792, 584}], 
      Line3DBox[{379, 599, 1363, 380, 613, 1374, 405, 628, 1384, 420, 643, 
       1392, 435, 658, 450, 1483, 673, 465, 1493, 688, 1410, 480, 703, 1424, 
       495, 718, 1435, 510, 733, 1444, 525, 748, 1451, 540, 1517, 763, 555, 
       1526, 778, 570, 1537, 793, 585}], 
      Line3DBox[{381, 600, 1364, 382, 614, 1375, 406, 629, 1385, 421, 644, 
       1393, 436, 659, 1399, 451, 674, 466, 1494, 689, 1411, 481, 704, 1425, 
       496, 719, 1436, 511, 734, 1445, 526, 749, 1452, 541, 764, 1457, 556, 
       1527, 779, 571, 1538, 794, 586}], 
      Line3DBox[{383, 601, 1365, 385, 615, 1376, 407, 630, 1386, 422, 645, 
       1394, 437, 660, 1400, 452, 675, 1404, 467, 690, 1412, 482, 705, 1426, 
       497, 720, 1437, 512, 735, 1446, 527, 750, 1453, 542, 765, 1458, 557, 
       780, 1461, 572, 1539, 795, 587}], 
      Line3DBox[{387, 603, 1366, 388, 1465, 617, 409, 1467, 632, 424, 1471, 
       647, 439, 1477, 662, 454, 1485, 677, 469, 1496, 692, 1413, 484, 707, 
       499, 1504, 722, 514, 1507, 737, 529, 1512, 752, 544, 1519, 767, 559, 
       1529, 782, 574, 1541, 797, 589}], 
      Line3DBox[{389, 604, 1367, 390, 618, 1377, 410, 1468, 633, 425, 1472, 
       648, 440, 1478, 663, 455, 1486, 678, 470, 1497, 693, 1414, 485, 708, 
       1427, 500, 723, 515, 1508, 738, 530, 1513, 753, 545, 1520, 768, 560, 
       1530, 783, 575, 1542, 798, 590}], 
      Line3DBox[{391, 605, 1368, 392, 619, 1378, 411, 634, 1387, 426, 1473, 
       649, 441, 1479, 664, 456, 1487, 679, 471, 1498, 694, 1415, 486, 709, 
       1428, 501, 724, 1438, 516, 739, 531, 1514, 754, 546, 1521, 769, 561, 
       1531, 784, 576, 1543, 799, 591}], 
      Line3DBox[{393, 606, 1369, 394, 620, 1379, 412, 635, 1388, 427, 650, 
       1395, 442, 1480, 665, 457, 1488, 680, 472, 1499, 695, 1416, 487, 710, 
       1429, 502, 725, 1439, 517, 740, 1447, 532, 755, 547, 1522, 770, 562, 
       1532, 785, 577, 1544, 800, 592}], 
      Line3DBox[{395, 607, 1370, 396, 621, 1380, 413, 636, 1389, 428, 651, 
       1396, 443, 666, 1401, 458, 1489, 681, 473, 1500, 696, 1417, 488, 711, 
       1430, 503, 726, 1440, 518, 741, 1448, 533, 756, 1454, 548, 771, 563, 
       1533, 786, 578, 1545, 801, 593}], 
      Line3DBox[{397, 608, 1371, 398, 622, 1381, 414, 637, 1390, 429, 652, 
       1397, 444, 667, 1402, 459, 682, 1405, 474, 1501, 697, 1418, 489, 712, 
       1431, 504, 727, 1441, 519, 742, 1449, 534, 757, 1455, 549, 772, 1459, 
       564, 787, 579, 1546, 802, 594}], 
      Line3DBox[{399, 805, 1547, 806, 400, 623, 1382, 415, 638, 1391, 430, 
       653, 1398, 445, 668, 1403, 460, 683, 1406, 475, 698, 1419, 1420, 490, 
       713, 1432, 505, 728, 1442, 520, 743, 1450, 535, 758, 1456, 550, 773, 
       1460, 565, 788, 1462, 580, 820, 821, 822}], Line3DBox[CompressedData["
1:eJwNzklKwnEYBuCvAqFdiywbNq66QXM2avOklc2mzZO2ad0NAg8QdICgAwgd
IOgAQQcIOkDQqmfx8L2/95U/piu1fLUpIkpkmyOSLRG3ZLnhmt5ERL8tIeeZ
4YoO/aXbZ/tlXZ7mgqTt3E3pv1mTp+jRn7mntOo/WZXb9JPuCcf8+VPvtm79
ivcEFcr82Bq2Ltuy9zhHlPiydepf7EveGQ454MP2pF+Ux9in3W/33Dfbo21B
HmWXHV71D/p5eYRtijzr7/Rz8jBbbFLXl/Up3531HmKDAve2gi0nD1KjygD/
alwlxA==
       "]], 
      Line3DBox[{582, 790, 819, 1534, 567, 775, 818, 1523, 552, 760, 1555, 
       817, 537, 745, 1554, 816, 522, 730, 1553, 815, 507, 715, 1551, 814, 
       492, 1421, 700, 813, 477, 1407, 685, 812, 1490, 462, 670, 811, 447, 
       655, 1550, 810, 432, 640, 1549, 809, 417, 625, 1548, 808, 402, 610, 
       807, 374, 1360, 596, 803, 804}], 
      Line3DBox[{588, 796, 1540, 573, 781, 1528, 558, 766, 1518, 543, 751, 
       1511, 528, 736, 1506, 513, 721, 1503, 498, 706, 1502, 483, 691, 1495, 
       468, 676, 1484, 453, 661, 1476, 438, 646, 1470, 423, 631, 1466, 408, 
       616, 1464, 386, 602, 1463, 384}]}, 
     {GrayLevel[0.2], 
      Line3DBox[{880, 1241, 1242, 1218, 1232, 595, 1211, 1180, 1360, 1088, 
       881, 1361, 1089, 882, 1362, 1090, 883, 1363, 1091, 884, 1364, 1092, 
       885, 1365, 1271, 1463, 886, 1366, 1093, 887, 1367, 1094, 888, 1368, 
       1095, 889, 1369, 1096, 890, 1370, 1097, 891, 1371, 1098, 892, 1547, 
       1181, 1099, 1182}], 
      Line3DBox[{893, 1250, 1183, 1219, 1233, 1234, 1560, 1212, 1184, 610, 
       894, 1372, 1100, 895, 1373, 1101, 896, 1374, 1102, 897, 1375, 1103, 
       898, 1376, 1272, 1464, 899, 1273, 1465, 900, 1377, 1104, 901, 1378, 
       1105, 902, 1379, 1106, 903, 1380, 1107, 904, 1381, 1108, 905, 1382, 
       1109, 906}], 
      Line3DBox[{907, 1251, 1185, 1220, 1235, 840, 1213, 1186, 1274, 1548, 
       908, 626, 909, 1383, 1110, 910, 1384, 1111, 911, 1385, 1112, 912, 1386,
        1275, 1466, 913, 1276, 1467, 914, 1277, 1468, 915, 1387, 1113, 916, 
       1388, 1114, 917, 1389, 1115, 918, 1390, 1116, 919, 1391, 1117, 920}], 
      Line3DBox[{330, 236, 827, 268, 237, 1549, 921, 1278, 1469, 922, 642, 
       923, 1392, 1118, 924, 1393, 1119, 925, 1394, 1279, 1470, 926, 1280, 
       1471, 927, 1281, 1472, 928, 1282, 1473, 929, 1395, 1120, 930, 1396, 
       1121, 931, 1397, 1122, 932, 1398, 1123, 933}], 
      Line3DBox[{947, 1127, 1403, 946, 1126, 1402, 945, 1125, 1401, 944, 1480,
        1289, 943, 1479, 1288, 942, 1478, 1287, 941, 1477, 1286, 940, 1476, 
       1285, 1400, 939, 1124, 1399, 938, 658, 937, 1475, 1284, 936, 1474, 
       1283, 935, 1550, 1190, 1189, 934, 858, 1188, 1221, 1187, 1264, 1252}], 
      Line3DBox[{961, 1129, 1406, 960, 1128, 1405, 959, 1489, 1298, 958, 1488,
        1297, 957, 1487, 1296, 956, 1486, 1295, 955, 1485, 1294, 954, 1484, 
       1293, 1404, 953, 674, 952, 1483, 1292, 951, 1482, 1291, 950, 1481, 
       1290, 949, 811, 1191, 948, 1556, 311, 1222, 364, 1253}], 
      Line3DBox[{963, 1255, 1256, 1224, 1236, 1559, 1130, 1214, 1193, 1407, 
       1131, 965, 1408, 1132, 967, 1409, 1133, 969, 1410, 1134, 971, 1411, 
       1135, 973, 1412, 691, 975, 1413, 1136, 977, 1414, 1137, 979, 1415, 
       1138, 981, 1416, 1139, 983, 1417, 1140, 985, 1418, 1141, 987, 1420, 
       1143, 989}], 
      Line3DBox[{988, 1142, 1419, 986, 1501, 1308, 984, 1500, 1307, 982, 1499,
        1306, 980, 1498, 1305, 978, 1497, 1304, 976, 1496, 1303, 974, 1495, 
       690, 972, 1494, 1302, 970, 1493, 1301, 968, 1492, 1300, 966, 1491, 
       1299, 964, 1354, 1490, 1192, 962, 861, 1243, 1223, 1266, 1265, 1254}], 
      Line3DBox[{990, 1257, 1258, 1225, 1237, 1309, 1561, 1215, 1194, 1421, 
       1144, 991, 1422, 1145, 992, 1423, 1146, 993, 1424, 1147, 994, 1425, 
       1148, 995, 1426, 1310, 1502, 996, 707, 997, 1427, 1149, 998, 1428, 
       1150, 999, 1429, 1151, 1000, 1430, 1152, 1001, 1431, 1153, 1002, 1432, 
       1154, 1003}], 
      Line3DBox[{1004, 1259, 1195, 1226, 1238, 1239, 1562, 1216, 1196, 1311, 
       1551, 1005, 1433, 1155, 1006, 1434, 1156, 1007, 1435, 1157, 1008, 1436,
        1158, 1009, 1437, 1312, 1503, 1010, 1313, 1504, 1011, 723, 1012, 1438,
        1159, 1013, 1439, 1160, 1014, 1440, 1161, 1015, 1441, 1162, 1016, 
       1442, 1163, 1017}], 
      Line3DBox[{1018, 1260, 1197, 1227, 1240, 1552, 1357, 1217, 1198, 1314, 
       1553, 1019, 1315, 1505, 1020, 1443, 1164, 1021, 1444, 1165, 1022, 1445,
        1166, 1023, 1446, 1316, 1506, 1024, 1317, 1507, 1025, 1318, 1508, 
       1026, 739, 1027, 1447, 1167, 1028, 1448, 1168, 1029, 1449, 1169, 1030, 
       1450, 1170, 1031}], 
      Line3DBox[{1045, 1175, 1456, 1044, 1174, 1455, 1043, 1173, 1454, 1042, 
       755, 1041, 1514, 1324, 1040, 1513, 1323, 1039, 1512, 1322, 1038, 1511, 
       1321, 1453, 1037, 1172, 1452, 1036, 1171, 1451, 1035, 1510, 1320, 1034,
        1509, 1319, 1033, 1554, 1202, 1201, 1032, 1358, 1563, 1200, 1228, 
       1199, 1267, 1261}], 
      Line3DBox[{1059, 1178, 1460, 1058, 1177, 1459, 1057, 771, 1056, 1522, 
       1332, 1055, 1521, 1331, 1054, 1520, 1330, 1053, 1519, 1329, 1052, 1518,
        1328, 1458, 1051, 1176, 1457, 1050, 1517, 1327, 1049, 1516, 1326, 
       1048, 1515, 1325, 1047, 1555, 1206, 1205, 1046, 1557, 1244, 1204, 1229,
        1203, 1268, 1262}], 
      Line3DBox[{1073, 1179, 1462, 1072, 787, 1071, 1533, 1342, 1070, 1532, 
       1341, 1069, 1531, 1340, 1068, 1530, 1339, 1067, 1529, 1338, 1066, 1528,
        1337, 1461, 1065, 1527, 1336, 1064, 1526, 1335, 1063, 1525, 1334, 
       1062, 1524, 1333, 1061, 1355, 1523, 1207, 1060, 1558, 1245, 1246, 1230,
        1270, 1269, 1263}], 
      Line3DBox[{1087, 1210, 820, 1086, 1546, 1353, 1085, 1545, 1352, 1084, 
       1544, 1351, 1083, 1543, 1350, 1082, 1542, 1349, 1081, 1541, 1348, 1080,
        1540, 1539, 1347, 1079, 1538, 1346, 1078, 1537, 1345, 1077, 1536, 
       1344, 1076, 1535, 1343, 1075, 1356, 1534, 1208, 1074, 1359, 1564, 1249,
        1231, 1248, 1247, 1209}]}}},
   VertexNormals->CompressedData["
1:eJztnHk41lkbxy2VFlMapbSQpVDMlEoL060ZSWghzSiUEu1ZSlJU2ocobaMm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    "]],
  Axes->True,
  AxesLabel->{
    FormBox["x", TraditionalForm], 
    FormBox["y", TraditionalForm], 
    FormBox["z", TraditionalForm]},
  DisplayFunction->Identity,
  FaceGridsStyle->Automatic,
  ImageSize->{290.86666236215626`, 405.1481698490138},
  Method->{},
  PlotRange->{{0., 9.999999285714285}, {0., 6.324555094459779}, {0., 
   9.999999285714285}},
  PlotRangePadding->{
    Scaled[0.02], 
    Scaled[0.02], 
    Scaled[0.02]},
  Ticks->{Automatic, Automatic, Automatic},
  ViewPoint->{2.2488956696280966`, 1.5805563311738846`, 1.973400605836066},
  ViewVertical->{-0.0039476977593729465`, 0.03601808970738246, 
   0.9997327115438743}]], "Output",
 CellChangeTimes->{3.6984235847309847`*^9, 3.6984236230321865`*^9, 
  3.6984236819410944`*^9, 3.6984251579994955`*^9, 3.69842522552102*^9, 
  3.69842531123197*^9, 3.6984257804758*^9, 3.698427310655942*^9, 
  3.6984273668929014`*^9, 3.6990876983617344`*^9, 3.6992004263301992`*^9, 
  3.699201315486142*^9, 3.6992022590618095`*^9, 3.699202329908384*^9, 
  3.6992023695042286`*^9, 3.699210368501333*^9, 3.6998120187117214`*^9, 
  3.701424057869669*^9, 3.7014257293836565`*^9, 3.7014267073602877`*^9, 
  3.701428733242241*^9, 3.701445339908033*^9, 3.7014456770396414`*^9, 
  3.7014468638794622`*^9, 3.729931835171928*^9, 3.7300229577286253`*^9, 
  3.732296500696823*^9, 
  3.765562855378982*^9},ExpressionUUID->"0bfb94c4-ca43-42d5-8fc6-\
6fca1f9f6edc"]
}, Open  ]]
}, Open  ]],

Cell[CellGroupData[{

Cell[TextData[{
 "Inciso b): ",
 Cell[BoxData[
  FormBox[
   RowBox[{
    RowBox[{
     FractionBox["x", "3"], "+", 
     FractionBox["z", "2"]}], "=", "1"}], TraditionalForm]],
  FormatType->"TraditionalForm"]
}], "Subsection",
 CellChangeTimes->{{3.698423891959647*^9, 3.6984239594669046`*^9}}],

Cell[CellGroupData[{

Cell[BoxData[
 RowBox[{"s2", "=", 
  RowBox[{"Solve", "[", 
   RowBox[{
    FormBox[
     RowBox[{
      RowBox[{
       FractionBox["x", "3"], "+", 
       FractionBox["z", "2"]}], "==", "1"}],
     TraditionalForm], ",", "z"}], "]"}]}]], "Input",
 CellChangeTimes->{{3.6984239742402105`*^9, 
  3.6984239927023387`*^9}},ExpressionUUID->"81fd4ca2-30be-4cc4-ae2c-\
3ad4a303da3e"],

Cell[BoxData[
 RowBox[{"{", 
  RowBox[{"{", 
   RowBox[{"z", "\[Rule]", 
    RowBox[{
     RowBox[{"-", 
      FractionBox["2", "3"]}], " ", 
     RowBox[{"(", 
      RowBox[{
       RowBox[{"-", "3"}], "+", "x"}], ")"}]}]}], "}"}], "}"}]], "Output",
 CellChangeTimes->{{3.698423987952962*^9, 3.6984239929715476`*^9}, 
   3.698425780495816*^9, 3.6984273107579837`*^9, 3.6984273669079123`*^9, 
   3.6990876995575857`*^9, 3.699200426959638*^9, 3.699201315504156*^9, 
   3.6992022590798244`*^9, 3.699202329929398*^9, 3.6992023695182304`*^9, 
   3.6992103685973997`*^9, 3.69981201882909*^9, 3.7014240596639624`*^9, 
   3.7014257294036713`*^9, 3.7014267073802834`*^9, 3.7014287332842693`*^9, 
   3.7014453399270463`*^9, 3.7014456770616584`*^9, 3.7014468639004765`*^9, 
   3.729931835259705*^9, 3.730022957797915*^9, 3.7322965008014708`*^9, 
   3.765562855521062*^9},ExpressionUUID->"63771649-a44d-4006-927e-\
f578598e67fb"]
}, Open  ]],

Cell[BoxData[
 RowBox[{
  RowBox[{"Fz", "[", "x_", "]"}], ":=", 
  RowBox[{"s2", "[", 
   RowBox[{"[", 
    RowBox[{"1", ",", "1", ",", "2"}], "]"}], "]"}]}]], "Input",
 CellChangeTimes->{{3.6984240061369076`*^9, 
  3.698424027314953*^9}},ExpressionUUID->"79786b43-0fa6-403c-afc9-\
8bdea9f67bb5"],

Cell[CellGroupData[{

Cell[BoxData[
 RowBox[{"Plot", "[", 
  RowBox[{
   RowBox[{"Fz", "[", "x", "]"}], ",", 
   RowBox[{"{", 
    RowBox[{"x", ",", "0", ",", "4"}], "}"}], ",", 
   RowBox[{"AxesLabel", "\[Rule]", 
    RowBox[{"{", 
     RowBox[{"\"\<x\>\"", ",", "\"\<z\>\""}], "}"}]}]}], "]"}]], "Input",
 CellChangeTimes->{{3.6984240290402*^9, 3.6984240638782635`*^9}, {
  3.698424098450821*^9, 
  3.6984240985578957`*^9}},ExpressionUUID->"5bffcd36-abe2-4e59-83ad-\
885d3db21ff3"],

Cell[BoxData[
 GraphicsBox[{{{}, {}, 
    TagBox[
     {RGBColor[0.368417, 0.506779, 0.709798], AbsoluteThickness[1.6], Opacity[
      1.], LineBox[CompressedData["
1:eJwViHs0lGkcgMctQvNFqR3tKMUSKUWS4vfGnmKQ0KyU2wpZ2sJqu2y3aUmF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       "]]},
     Annotation[#, "Charting`Private`Tag$2294#1"]& ]}, {}, {}},
  AspectRatio->NCache[GoldenRatio^(-1), 0.6180339887498948],
  Axes->{True, True},
  AxesLabel->{
    FormBox["\"x\"", TraditionalForm], 
    FormBox["\"z\"", TraditionalForm]},
  AxesOrigin->{0, 0},
  DisplayFunction->Identity,
  Frame->{{False, False}, {False, False}},
  FrameLabel->{{None, None}, {None, None}},
  FrameTicks->{{Automatic, 
     Charting`ScaledFrameTicks[{Identity, Identity}]}, {Automatic, 
     Charting`ScaledFrameTicks[{Identity, Identity}]}},
  GridLines->{None, None},
  GridLinesStyle->Directive[
    GrayLevel[0.5, 0.4]],
  ImagePadding->All,
  Method->{
   "DefaultBoundaryStyle" -> Automatic, "DefaultMeshStyle" -> 
    AbsolutePointSize[6], "ScalingFunctions" -> None, 
    "CoordinatesToolOptions" -> {"DisplayFunction" -> ({
        (Identity[#]& )[
         Part[#, 1]], 
        (Identity[#]& )[
         Part[#, 2]]}& ), "CopiedValueFunction" -> ({
        (Identity[#]& )[
         Part[#, 1]], 
        (Identity[#]& )[
         Part[#, 2]]}& )}},
  PlotRange->{{0, 4}, {-0.6666666122448979, 1.9999999455782311`}},
  PlotRangeClipping->True,
  PlotRangePadding->{{
     Scaled[0.02], 
     Scaled[0.02]}, {
     Scaled[0.05], 
     Scaled[0.05]}},
  Ticks->{Automatic, Automatic}]], "Output",
 CellChangeTimes->{{3.698424046839856*^9, 3.698424064675803*^9}, 
   3.698424098882145*^9, 3.698425780534825*^9, 3.698427310793031*^9, 
   3.6984273669750004`*^9, 3.6990876996286325`*^9, 3.699200427003663*^9, 
   3.699201315546203*^9, 3.699202259123849*^9, 3.699202329969427*^9, 
   3.699202369558262*^9, 3.6992103686304293`*^9, 3.6998120188924637`*^9, 
   3.701424059749025*^9, 3.701425729440699*^9, 3.701426707437356*^9, 
   3.7014287333243165`*^9, 3.7014453400141163`*^9, 3.701445677108693*^9, 
   3.7014468639625216`*^9, 3.729931835339432*^9, 3.7300229578686237`*^9, 
   3.732296501380518*^9, 
   3.765562855601087*^9},ExpressionUUID->"4dc79796-254c-4d19-b36e-\
b164dce13934"]
}, Open  ]],

Cell[CellGroupData[{

Cell[BoxData[
 RowBox[{"sup2", "=", 
  RowBox[{"ParametricPlot3D", "[", 
   RowBox[{
    RowBox[{"{", 
     RowBox[{"x", ",", "y", ",", 
      RowBox[{"2", "-", 
       RowBox[{
        FractionBox["2", "3"], "*", "x"}]}]}], "}"}], ",", 
    RowBox[{"{", 
     RowBox[{"x", ",", "0", ",", "4"}], "}"}], ",", 
    RowBox[{"{", 
     RowBox[{"y", ",", "0", ",", "4"}], "}"}], ",", 
    RowBox[{"AxesLabel", "\[Rule]", 
     RowBox[{"{", 
      RowBox[{"x", ",", "y", ",", "z"}], "}"}]}], ",", 
    RowBox[{"PlotStyle", "\[Rule]", 
     RowBox[{"RGBColor", "[", 
      RowBox[{"0", ",", "1", ",", "1", ",", "0.5"}], "]"}]}], ",", 
    RowBox[{"AxesLabel", "\[Rule]", 
     RowBox[{"{", 
      RowBox[{"\"\<x\>\"", ",", "\"\<y\>\"", ",", "\"\<z\>\""}], "}"}]}]}], 
   "]"}]}]], "Input",
 CellChangeTimes->{{3.698424181564952*^9, 3.6984242739476285`*^9}, {
   3.698425161647089*^9, 3.6984251643029776`*^9}, {3.6984253207957706`*^9, 
   3.6984253295259976`*^9}, {3.6984258254661016`*^9, 3.698425857881721*^9}, 
   3.698427361543118*^9},ExpressionUUID->"63620222-1d91-4d18-96ec-\
3c8ad5aa80d8"],

Cell[BoxData[
 Graphics3DBox[GraphicsComplex3DBox[CompressedData["
1:eJx1nHu4VXWZgA8XQeUEmk6DZla2RVPHOV4yLfTg5TG2ZmV6ZiTLOGrlbQOj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   "], {{
     {RGBColor[0, 1, 1], Opacity[0.5], EdgeForm[None], 
      StyleBox[GraphicsGroup3DBox[
        TagBox[{Polygon3DBox[CompressedData["
1:eJwtmXfgV9Mbx++553zsEJKQJGRVUtJPGaGhkC0lKQ0kSWRklKZRSZlFhbJn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           "]], Polygon3DBox[CompressedData["
1:eJxNmnncVVMbhvdeayWKDM1zUVSGzGROISoSkVAkUiikkilUKpW5kJAGY4NI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           "]], Polygon3DBox[CompressedData["
1:eJwt13f8luMaAPD3977vL5qi1KGt4TSdNNA8DQkNDeW0HC2rgYaOljSEEi0h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           "]]},
         Annotation[#, "Charting`Private`Tag$2329#1"]& ]],
       Lighting->Automatic]}, {}, {}, {}, {}}, {{}, {}, {}, 
     {GrayLevel[0.2], 
      Line3DBox[{251, 474, 1113, 252, 488, 280, 1222, 503, 295, 1227, 518, 
       310, 1234, 533, 325, 1243, 548, 340, 1254, 563, 1161, 355, 578, 1175, 
       370, 1269, 593, 385, 1273, 608, 400, 1279, 623, 415, 1287, 638, 430, 
       1297, 653, 445, 1309, 668, 460}], 
      Line3DBox[{253, 475, 1114, 254, 489, 1125, 281, 504, 296, 1228, 519, 
       311, 1235, 534, 326, 1244, 549, 341, 1255, 564, 1162, 356, 579, 1176, 
       371, 594, 1187, 386, 1274, 609, 401, 1280, 624, 416, 1288, 639, 431, 
       1298, 654, 446, 1310, 669, 461}], 
      Line3DBox[{255, 476, 1115, 256, 490, 1126, 282, 505, 1136, 297, 520, 
       312, 1236, 535, 327, 1245, 550, 342, 1256, 565, 1163, 357, 580, 1177, 
       372, 595, 1188, 387, 610, 1197, 402, 1281, 625, 417, 1289, 640, 432, 
       1299, 655, 447, 1311, 670, 462}], 
      Line3DBox[{257, 477, 1116, 258, 491, 1127, 283, 506, 1137, 298, 521, 
       1145, 313, 536, 328, 1246, 551, 343, 1257, 566, 1164, 358, 581, 1178, 
       373, 596, 1189, 388, 611, 1198, 403, 626, 1205, 418, 1290, 641, 433, 
       1300, 656, 448, 1312, 671, 463}], 
      Line3DBox[{259, 478, 1117, 260, 492, 1128, 284, 507, 1138, 299, 522, 
       1146, 314, 537, 1152, 329, 552, 344, 1258, 567, 1165, 359, 582, 1179, 
       374, 597, 1190, 389, 612, 1199, 404, 627, 1206, 419, 642, 1211, 434, 
       1301, 657, 449, 1313, 672, 464}], 
      Line3DBox[{261, 479, 1118, 263, 493, 1129, 285, 508, 1139, 300, 523, 
       1147, 315, 538, 1153, 330, 553, 1157, 345, 568, 1166, 360, 583, 1180, 
       375, 598, 1191, 390, 613, 1200, 405, 628, 1207, 420, 643, 1212, 435, 
       658, 1215, 450, 1314, 673, 465}], 
      Line3DBox[{265, 481, 1119, 266, 1220, 495, 287, 1224, 510, 302, 1230, 
       525, 317, 1238, 540, 332, 1248, 555, 347, 1260, 570, 1167, 362, 585, 
       377, 1271, 600, 392, 1276, 615, 407, 1283, 630, 422, 1292, 645, 437, 
       1303, 660, 452, 1316, 675, 467}], 
      Line3DBox[{267, 482, 1120, 268, 496, 1130, 288, 1225, 511, 303, 1231, 
       526, 318, 1239, 541, 333, 1249, 556, 348, 1261, 571, 1168, 363, 586, 
       1181, 378, 601, 393, 1277, 616, 408, 1284, 631, 423, 1293, 646, 438, 
       1304, 661, 453, 1317, 676, 468}], 
      Line3DBox[{269, 483, 1121, 270, 497, 1131, 289, 512, 1140, 304, 1232, 
       527, 319, 1240, 542, 334, 1250, 557, 349, 1262, 572, 1169, 364, 587, 
       1182, 379, 602, 1192, 394, 617, 409, 1285, 632, 424, 1294, 647, 439, 
       1305, 662, 454, 1318, 677, 469}], 
      Line3DBox[{271, 484, 1122, 272, 498, 1132, 290, 513, 1141, 305, 528, 
       1148, 320, 1241, 543, 335, 1251, 558, 350, 1263, 573, 1170, 365, 588, 
       1183, 380, 603, 1193, 395, 618, 1201, 410, 633, 425, 1295, 648, 440, 
       1306, 663, 455, 1319, 678, 470}], 
      Line3DBox[{273, 485, 1123, 274, 499, 1133, 291, 514, 1142, 306, 529, 
       1149, 321, 544, 1154, 336, 1252, 559, 351, 1264, 574, 1171, 366, 589, 
       1184, 381, 604, 1194, 396, 619, 1202, 411, 634, 1208, 426, 649, 441, 
       1307, 664, 456, 1320, 679, 471}], 
      Line3DBox[{275, 486, 1124, 276, 500, 1134, 292, 515, 1143, 307, 530, 
       1150, 322, 545, 1155, 337, 560, 1158, 352, 1265, 575, 1172, 367, 590, 
       1185, 382, 605, 1195, 397, 620, 1203, 412, 635, 1209, 427, 650, 1213, 
       442, 665, 457, 1321, 680, 472}], 
      Line3DBox[{277, 682, 1322, 683, 278, 501, 1135, 293, 516, 1144, 308, 
       531, 1151, 323, 546, 1156, 338, 561, 1159, 353, 576, 1173, 1174, 368, 
       591, 1186, 383, 606, 1196, 398, 621, 1204, 413, 636, 1210, 428, 651, 
       1214, 443, 666, 1216, 458, 685, 686, 687}], 
      Line3DBox[{459, 667, 684, 1308, 444, 652, 1296, 429, 637, 1286, 414, 
       622, 1278, 399, 607, 1272, 384, 592, 1268, 369, 577, 1266, 354, 1160, 
       562, 1253, 339, 547, 1242, 324, 532, 1233, 309, 517, 1226, 294, 502, 
       1221, 279, 487, 1218, 250, 473, 681, 688}], 
      Line3DBox[{466, 674, 1315, 451, 659, 1302, 436, 644, 1291, 421, 629, 
       1282, 406, 614, 1275, 391, 599, 1270, 376, 584, 1267, 361, 569, 1259, 
       346, 554, 1247, 331, 539, 1237, 316, 524, 1229, 301, 509, 1223, 286, 
       494, 1219, 264, 480, 1217, 262}]}, 
     {GrayLevel[0.2], 
      Line3DBox[{690, 1004, 473, 689, 1113, 912, 691, 1114, 913, 692, 1115, 
       914, 693, 1116, 915, 694, 1117, 916, 695, 1118, 1010, 1217, 696, 1119, 
       917, 697, 1120, 918, 698, 1121, 919, 699, 1122, 920, 700, 1123, 921, 
       701, 1124, 922, 702, 1322, 1005, 923, 1006}], 
      Line3DBox[{704, 1011, 1218, 703, 488, 705, 1125, 924, 706, 1126, 925, 
       707, 1127, 926, 708, 1128, 927, 709, 1129, 1012, 1219, 710, 1013, 1220,
        711, 1130, 928, 712, 1131, 929, 713, 1132, 930, 714, 1133, 931, 715, 
       1134, 932, 716, 1135, 933, 717}], 
      Line3DBox[{719, 1014, 1221, 718, 1015, 1222, 720, 504, 721, 1136, 934, 
       722, 1137, 935, 723, 1138, 936, 724, 1139, 1016, 1223, 725, 1017, 1224,
        726, 1018, 1225, 727, 1140, 937, 728, 1141, 938, 729, 1142, 939, 730, 
       1143, 940, 731, 1144, 941, 732}], 
      Line3DBox[{734, 1019, 1226, 733, 1020, 1227, 735, 1021, 1228, 736, 520, 
       737, 1145, 942, 738, 1146, 943, 739, 1147, 1022, 1229, 740, 1023, 1230,
        741, 1024, 1231, 742, 1025, 1232, 743, 1148, 944, 744, 1149, 945, 745,
        1150, 946, 746, 1151, 947, 747}], 
      Line3DBox[{749, 1026, 1233, 748, 1027, 1234, 750, 1028, 1235, 751, 1029,
        1236, 752, 536, 753, 1152, 948, 754, 1153, 1030, 1237, 755, 1031, 
       1238, 756, 1032, 1239, 757, 1033, 1240, 758, 1034, 1241, 759, 1154, 
       949, 760, 1155, 950, 761, 1156, 951, 762}], 
      Line3DBox[{764, 1035, 1242, 763, 1036, 1243, 765, 1037, 1244, 766, 1038,
        1245, 767, 1039, 1246, 768, 552, 769, 1157, 1040, 1247, 770, 1041, 
       1248, 771, 1042, 1249, 772, 1043, 1250, 773, 1044, 1251, 774, 1045, 
       1252, 775, 1158, 952, 776, 1159, 953, 777}], 
      Line3DBox[{781, 1160, 954, 779, 1161, 955, 783, 1162, 956, 785, 1163, 
       957, 787, 1164, 958, 789, 1165, 959, 791, 1166, 569, 793, 1167, 960, 
       795, 1168, 961, 797, 1169, 962, 799, 1170, 963, 801, 1171, 964, 803, 
       1172, 965, 805, 1174, 967, 807}], 
      Line3DBox[{806, 966, 1173, 804, 1265, 1057, 802, 1264, 1056, 800, 1263, 
       1055, 798, 1262, 1054, 796, 1261, 1053, 794, 1260, 1052, 792, 1259, 
       568, 790, 1258, 1051, 788, 1257, 1050, 786, 1256, 1049, 784, 1255, 
       1048, 782, 1254, 1047, 778, 1253, 1046, 780}], 
      Line3DBox[{809, 1058, 1266, 808, 1175, 968, 810, 1176, 969, 811, 1177, 
       970, 812, 1178, 971, 813, 1179, 972, 814, 1180, 1059, 1267, 815, 585, 
       816, 1181, 973, 817, 1182, 974, 818, 1183, 975, 819, 1184, 976, 820, 
       1185, 977, 821, 1186, 978, 822}], 
      Line3DBox[{824, 1060, 1268, 823, 1061, 1269, 825, 1187, 979, 826, 1188, 
       980, 827, 1189, 981, 828, 1190, 982, 829, 1191, 1062, 1270, 830, 1063, 
       1271, 831, 601, 832, 1192, 983, 833, 1193, 984, 834, 1194, 985, 835, 
       1195, 986, 836, 1196, 987, 837}], 
      Line3DBox[{839, 1064, 1272, 838, 1065, 1273, 840, 1066, 1274, 841, 1197,
        988, 842, 1198, 989, 843, 1199, 990, 844, 1200, 1067, 1275, 845, 1068,
        1276, 846, 1069, 1277, 847, 617, 848, 1201, 991, 849, 1202, 992, 850, 
       1203, 993, 851, 1204, 994, 852}], 
      Line3DBox[{854, 1070, 1278, 853, 1071, 1279, 855, 1072, 1280, 856, 1073,
        1281, 857, 1205, 995, 858, 1206, 996, 859, 1207, 1074, 1282, 860, 
       1075, 1283, 861, 1076, 1284, 862, 1077, 1285, 863, 633, 864, 1208, 997,
        865, 1209, 998, 866, 1210, 999, 867}], 
      Line3DBox[{869, 1078, 1286, 868, 1079, 1287, 870, 1080, 1288, 871, 1081,
        1289, 872, 1082, 1290, 873, 1211, 1000, 874, 1212, 1083, 1291, 875, 
       1084, 1292, 876, 1085, 1293, 877, 1086, 1294, 878, 1087, 1295, 879, 
       649, 880, 1213, 1001, 881, 1214, 1002, 882}], 
      Line3DBox[{884, 1088, 1296, 883, 1089, 1297, 885, 1090, 1298, 886, 1091,
        1299, 887, 1092, 1300, 888, 1093, 1301, 889, 1215, 1094, 1302, 890, 
       1095, 1303, 891, 1096, 1304, 892, 1097, 1305, 893, 1098, 1306, 894, 
       1099, 1307, 895, 665, 896, 1216, 1003, 897}], 
      Line3DBox[{911, 1009, 685, 910, 1321, 1111, 909, 1320, 1110, 908, 1319, 
       1109, 907, 1318, 1108, 906, 1317, 1107, 905, 1316, 1106, 904, 1315, 
       1314, 1105, 903, 1313, 1104, 902, 1312, 1103, 901, 1311, 1102, 900, 
       1310, 1101, 899, 1309, 1100, 898, 1112, 1308, 1007, 1008}]}}},
   VertexNormals->CompressedData["
1:eJztyLENQAAUQMEfYgmdSmIFhR10WonaCpbQG8UgGp2ojEBiALXkXvOSK/qx
HZKIqLKI9Pl81Eu+7k28TfvWXeVyNpxzzjnnnHPOOeecc845//TgnHPOOeec
c84555xzzjnnnHPOOeecc84555xzzjnnnHPOOeecc84555xzzjnnnHPOOeec
c84555xzzjnnnP/fb0Gqbv4=
    "]],
  Axes->True,
  AxesLabel->{
    FormBox["x", TraditionalForm], 
    FormBox["y", TraditionalForm], 
    FormBox["z", TraditionalForm]},
  DisplayFunction->Identity,
  FaceGridsStyle->Automatic,
  ImageSize->{612.328862077085, 273.54156771090936`},
  Method->{},
  PlotRange->{{0., 3.9999997142857144`}, {0., 
   3.9999997142857144`}, {-0.6666664761904761, 1.9999998095238096`}},
  PlotRangePadding->{
    Scaled[0.02], 
    Scaled[0.02], 
    Scaled[0.02]},
  Ticks->{Automatic, Automatic, Automatic},
  ViewPoint->{-2.857114842562082, -1.6238932070121164`, -0.8061424369373892},
  ViewVertical->{-0.2770579140567347, -0.36188479265688744`, \
-1.3351503473919741`}]], "Output",
 CellChangeTimes->{{3.698424215355959*^9, 3.6984242208068523`*^9}, {
   3.6984242620701947`*^9, 3.698424274237853*^9}, 3.6984251649274225`*^9, {
   3.6984253212741117`*^9, 3.698425329837201*^9}, 3.6984257805808554`*^9, {
   3.698425828144992*^9, 3.698425858141906*^9}, 3.69842731083504*^9, 
   3.6984273670179925`*^9, 3.6990876996826715`*^9, 3.6992004271077323`*^9, 
   3.6992013155972214`*^9, 3.6992022591758738`*^9, 3.699202330040486*^9, 
   3.699202369609297*^9, 3.6992103686734543`*^9, 3.69981201915364*^9, 
   3.7014240598480926`*^9, 3.7014257295587816`*^9, 3.7014267074903636`*^9, 
   3.7014287334083586`*^9, 3.7014453401532073`*^9, 3.701445677189766*^9, 
   3.701446864009575*^9, 3.729931835393581*^9, 3.730022957912095*^9, 
   3.732296501562462*^9, 
   3.7655628556459293`*^9},ExpressionUUID->"27c9345b-76d9-4fa5-bf2a-\
5ce3164039da"]
}, Open  ]]
}, Open  ]],

Cell[CellGroupData[{

Cell[TextData[{
 "Inciso c): ",
 Cell[BoxData[
  FormBox[
   RowBox[{
    RowBox[{
     RowBox[{
      SuperscriptBox["z", "2"], "-", 
      SuperscriptBox["y", "2"]}], "=", "1"}], " ", ";", " ", 
    RowBox[{"z", "\[GreaterEqual]", " ", "0"}], " ", ";", " ", 
    RowBox[{"y", "\[GreaterEqual]", " ", "0"}]}], TraditionalForm]],
  FormatType->"TraditionalForm"]
}], "Subsection",
 CellChangeTimes->{{3.6984242928830166`*^9, 3.698424335020982*^9}}],

Cell[CellGroupData[{

Cell[BoxData[
 RowBox[{"s3", "=", 
  RowBox[{"Solve", "[", 
   RowBox[{
    RowBox[{
     RowBox[{
      SuperscriptBox["z", "2"], "-", 
      SuperscriptBox["y", "2"]}], "\[Equal]", "1"}], ",", "z"}], 
   "]"}]}]], "Input",
 CellChangeTimes->{{3.698424455346402*^9, 
  3.6984244693163586`*^9}},ExpressionUUID->"bd1b5176-9ff6-4a96-999c-\
1dc9f902387a"],

Cell[BoxData[
 RowBox[{"{", 
  RowBox[{
   RowBox[{"{", 
    RowBox[{"z", "\[Rule]", 
     RowBox[{"-", 
      SqrtBox[
       RowBox[{"1", "+", 
        SuperscriptBox["y", "2"]}]]}]}], "}"}], ",", 
   RowBox[{"{", 
    RowBox[{"z", "\[Rule]", 
     SqrtBox[
      RowBox[{"1", "+", 
       SuperscriptBox["y", "2"]}]]}], "}"}]}], "}"}]], "Output",
 CellChangeTimes->{3.6984244697916737`*^9, 3.6984257805968885`*^9, 
  3.6984273108480496`*^9, 3.6984273670320005`*^9, 3.699087699729705*^9, 
  3.6992004271677933`*^9, 3.6992013156132345`*^9, 3.6992022591938868`*^9, 
  3.6992023300624924`*^9, 3.6992023696333127`*^9, 3.6992103686874638`*^9, 
  3.699812019225687*^9, 3.701424060020199*^9, 3.701425729585801*^9, 
  3.701426707508375*^9, 3.701428733427371*^9, 3.701445340329333*^9, 
  3.7014456772107625`*^9, 3.7014468640295672`*^9, 3.7299318354254093`*^9, 
  3.73002295794424*^9, 3.732296501591755*^9, 
  3.765562855673862*^9},ExpressionUUID->"02079dfc-e8df-49aa-b4ce-\
a32b741072d6"]
}, Open  ]],

Cell[BoxData[
 RowBox[{
  RowBox[{"Fz", "[", "y_", "]"}], ":=", 
  RowBox[{"s3", "[", 
   RowBox[{"[", 
    RowBox[{"2", ",", "1", ",", "2"}], "]"}], "]"}]}]], "Input",
 CellChangeTimes->{{3.6984244731880903`*^9, 
  3.698424498748267*^9}},ExpressionUUID->"5491f8ae-66b7-4781-b440-\
7e0a356a7e2b"],

Cell[CellGroupData[{

Cell[BoxData[
 RowBox[{"Plot", "[", 
  RowBox[{
   RowBox[{"Fz", "[", "y", "]"}], ",", 
   RowBox[{"{", 
    RowBox[{"y", ",", "0", ",", "10"}], "}"}], ",", 
   RowBox[{"AxesLabel", "\[Rule]", 
    RowBox[{"{", 
     RowBox[{"\"\<y\>\"", ",", "\"\<z\>\""}], "}"}]}]}], "]"}]], "Input",
 CellChangeTimes->{{3.6984245178538537`*^9, 3.698424548129593*^9}, {
  3.6984273524246316`*^9, 
  3.6984273578745074`*^9}},ExpressionUUID->"ed15800a-31f0-440f-baa3-\
991bf2d7ef20"],

Cell[BoxData[
 GraphicsBox[{{{}, {}, 
    TagBox[
     {RGBColor[0.368417, 0.506779, 0.709798], AbsoluteThickness[1.6], Opacity[
      1.], LineBox[CompressedData["
1:eJwV0nk41AsXB/BhkL0syTpm/EYTidzuLVvOibSMki7e9sWESapbokVSVySv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       "]]},
     Annotation[#, "Charting`Private`Tag$2362#1"]& ]}, {}, {}},
  AspectRatio->NCache[GoldenRatio^(-1), 0.6180339887498948],
  Axes->{True, True},
  AxesLabel->{
    FormBox["\"y\"", TraditionalForm], 
    FormBox["\"z\"", TraditionalForm]},
  AxesOrigin->{0, 0},
  DisplayFunction->Identity,
  Frame->{{False, False}, {False, False}},
  FrameLabel->{{None, None}, {None, None}},
  FrameTicks->{{Automatic, 
     Charting`ScaledFrameTicks[{Identity, Identity}]}, {Automatic, 
     Charting`ScaledFrameTicks[{Identity, Identity}]}},
  GridLines->{None, None},
  GridLinesStyle->Directive[
    GrayLevel[0.5, 0.4]],
  ImagePadding->All,
  Method->{
   "DefaultBoundaryStyle" -> Automatic, "DefaultMeshStyle" -> 
    AbsolutePointSize[6], "ScalingFunctions" -> None, 
    "CoordinatesToolOptions" -> {"DisplayFunction" -> ({
        (Identity[#]& )[
         Part[#, 1]], 
        (Identity[#]& )[
         Part[#, 2]]}& ), "CopiedValueFunction" -> ({
        (Identity[#]& )[
         Part[#, 1]], 
        (Identity[#]& )[
         Part[#, 2]]}& )}},
  PlotRange->{{0, 10}, {0., 10.049875418052075`}},
  PlotRangeClipping->True,
  PlotRangePadding->{{
     Scaled[0.02], 
     Scaled[0.02]}, {
     Scaled[0.05], 
     Scaled[0.05]}},
  Ticks->{Automatic, Automatic}]], "Output",
 CellChangeTimes->{3.698424548783058*^9, 3.6984257806389303`*^9, 
  3.6984273108890777`*^9, 3.6984273670720387`*^9, 3.6990876997777395`*^9, 
  3.699200427208804*^9, 3.699201315660266*^9, 3.699202259237916*^9, 
  3.699202330115531*^9, 3.6992023696843543`*^9, 3.6992103687224894`*^9, 
  3.699812019304242*^9, 3.701424060070232*^9, 3.7014257296618724`*^9, 
  3.701426707558415*^9, 3.7014287334894257`*^9, 3.7014453404614305`*^9, 
  3.7014456772848454`*^9, 3.701446864077602*^9, 3.729931835583144*^9, 
  3.730022958127351*^9, 3.732296501650305*^9, 
  3.7655628557611322`*^9},ExpressionUUID->"692d58dc-0c8a-46d9-8cd8-\
9164794a20c8"]
}, Open  ]],

Cell[CellGroupData[{

Cell[BoxData[
 RowBox[{"sup3", "=", 
  RowBox[{"ParametricPlot3D", "[", 
   RowBox[{
    RowBox[{"{", 
     RowBox[{"x", ",", "y", ",", 
      SqrtBox[
       RowBox[{"1", "+", 
        SuperscriptBox["y", "2"]}]]}], "}"}], ",", 
    RowBox[{"{", 
     RowBox[{"x", ",", "0", ",", "10"}], "}"}], ",", 
    RowBox[{"{", 
     RowBox[{"y", ",", "0", ",", "10"}], "}"}], ",", 
    RowBox[{"PlotStyle", "\[Rule]", 
     RowBox[{"RGBColor", "[", 
      RowBox[{"0", ",", "0", ",", "1", ",", "0.5"}], "]"}]}], ",", 
    RowBox[{"AxesLabel", "\[Rule]", 
     RowBox[{"{", 
      RowBox[{"\"\<x\>\"", ",", "\"\<y\>\"", ",", "\"\<z\>\""}], "}"}]}]}], 
   "]"}]}]], "Input",
 CellChangeTimes->{{3.698424659685921*^9, 3.698424681984722*^9}, {
   3.6984247126735234`*^9, 3.69842473295096*^9}, {3.6984251689392753`*^9, 
   3.698425170810606*^9}, {3.698425333087512*^9, 3.698425357317742*^9}, 
   3.6984273499468513`*^9},ExpressionUUID->"5c130dc8-9f3d-405e-8c30-\
4c505b31595a"],

Cell[BoxData[
 Graphics3DBox[GraphicsComplex3DBox[CompressedData["
1:eJyNnWmUVsW1QLuBZpJJxkYEGVqNiSLPoJKo9BXj0FEfKkaJiKIimLy0E4Y8
p4DzhFObOERFQY0jSTCxUVAxDiQ4i8ZoOupDEREFZAYV+mXB2dXr7fJbefnz
rW9buX3uvvXVvffUqaLfyWccdWqzsrKy31eUlTX/1+eLA2/++KH19w/l88IW
/4JlX1Q3m31t4+kNi6vN3z759erTG9Zl/EdrPp9UV1VemFfPWvlBbUPLjO9y
3rrqmrp2Gb966qbhdVXbZrxxy/+6ZPyck5r9obahe8Y/fbbFmIb6nhk/oapV
p5q67TP+5mVtnqmv3SHj966uGFJX1S/jJ245Tv+Mb/ej1ksaGwdknO94LWYc
O/iWB1cnz+Z4NsezOZ7N8WyOZ3M8m+PZHM/meDbHszmezfFsjmdzPOPvzWUj
pv5q8VfJoznfzfFsjmdzPJvj2RzP5ng2x7M5ns3xbI5nczyb49kcz3g6tuMT
P/tsabN0Pcz5/5vz3RzP5ng2x7M5ns3xbI5nczyb49kcz+Z4NsezOZ7xUf7E
3ieet3fr5Nkcz+Yc15zv5ng2x7M5ns3xbI5nczyb49kcz+Z4NsezOZ4573ue
+svMWx9unzyb49kcz+b8PXO+m+PZHM/meDbHszmezfFsjmdzPJvj2RzPnN9P
D3hu4jm/aboPmePZHM/meDYnDnO+m+PZHM/meDbHszmezfFsjmdzPJvjmfNY
t3vnE089tWvybI5nczyb49kcz+bEZ853czyb49kcz+Z4NsezOZ7N8WyOZ+J9
4ZErhh83uEfybI5nczyb49kcz+Z4Niduc76b49kcz+Z4NsezOZ7N8WyOZ+J6
rsXt57dsuV3ybI5nczyb49kcz+Z4NsezOedjzndzPJvj2RzP5ng2x7M5nvn7
7w8d0nPqu03P8eZ4NsezOZ7N8WyOZ3M8m+PZnPM057s5ns3xbI5nczyb45m/
c9o5G+++83dN70Xm6flbHM/meDbHszmezfFsjmdzPJtz/uZ8N8ezOZ7N8WyO
Z443cs9rhx4zrOk90xzP5ng2x7M5ns3xbI5nczyb49kcz+Z4Mee7OZ7N8WyO
Z/5/czq8dea8GU3v7eZ4NsezOZ7N8WyOZ3M8m+PZHM/meDbHszm+zPlujmdz
PPPfD15VM/iqnlXJszmezfFsjmdzPJvj2RzP5ng2x7M5ns3xbI5nczya8918
1GmtJ53Z8HY1n+Pbjz3slE1fpO+f3/XSB3VVK6tntT3t+U4T1qd8iNvTrhT3
cZ7Z8W931dR9nbWHZ3/3Ryt2LytrUbg93O3/VLnm+ob6Nll7uNtPbdiwor62
Y9Ye7vY/eG3zzjV1nbP2cLefPaj8nfrabll7uNsPrGt+ZVVNZdYe7vZb+0Ov
rD3c7Su39IPeWXu42x88quLl+tq+WXu42zeb0vLe2oZ+WXu42z/5ZKsLqmoG
ZO3pr+a093Fox3//5JFnp089pSlPbc73UrzU78V5b7jztMRnTj/P8rrRn83p
t+b0T3P6oTn9zZx+9c356l4Zp5+Y0x+y/H9cd3M82yfc7fFcanzzdeT/7/7D
/cKc+4U59wtz7hfm3C/MuV+Yc78w535hzv3CnPvFN48D+e+R+4V5hxc2XTih
YV76nLzgtcNeKr6o/qx16z3q7h1QmPOd//69Pwyfe+PTAwq+m3O9Sx2ncv2V
d91UtbB609pvjZ6z06rEHSfHdXu4+xXHKdV/HCftS81/OX7alfLgvwv3eV07
8prh5WWLsvFhTPmr15eVrcnigbv9ece8/Yuyss1Ze3ip8cftj528ekBZWZuM
L3pofY+ysg4Zf3zppoqyyfn85uYS85vwbBzr1uzLxkn5vCc8m+/7dos1jY2V
+XxrcLd/vbrl8sZJvbL2cLfvHuOe2w/cs2JlY3XfjL+x5Tj5vOo5P2z1WePc
fF6V6+55KK6vOdcxm7eK62jOdTTnOppzHc25XuZcl2x+MPyb49kcz+Z4Nsdz
Ns8Yns3x7HkoPJvjOZu3Cs/meDbHszmezfFsjudsfjA8m+PZHM/meDbHczbP
GJ7N8ex5KDyb4zmbtwrP5ng2x7M5ns3xbI7nbH4wPJvj2RzP5ng2x3M2zxie
zfHseSg8m+M5m7cKz+Z4NsezOZ7N8WyO52x+MDyb49kcz+Z4NsdzNs8Yns3x
7HkoPJvjOZu3Cs/meDbHszmezfFsjudsfjA8m+PZHM/meDbHczbPGJ7N8ex5
KDyb4zmbtwrP5ng2x7M5ns3xbI5nczyb49kcz+Z4NsezOZ7N8ex5KDyb4zmb
twrP5ng2x7M5ns3xbI7nbH4wPJvj2RzP5ng2x3M2zxiezfHseSg8m+M5m7cK
z+Z4NsezOZ7N8WyO52x+MDyb49kcz+Z4NsdzNs8Yns3x7HkoPJvjOZu3Cs/m
eDbHszmezfFsjudsfjA8m+PZHM/meDbHczbPGJ7N8ex5KDyb4zmbtwrP5ng2
x7M5ns3xbI7nbH4wPJvj2RzP5ng2x3M2zxiezfHseSg8m+M5m7cKz+Z4Nsez
OZ7N8WyO52x+MDyb49kcz+Z4NsdzNs8Yns3x7HkoPJvjOZu3Cs/meDbHszme
zfFsjudsfjA8m+PZHM/meDbHczbPGJ7N8ew8GJ7N8WyOZ3M8m+PZHM/meDbH
czY/GJ7N8WyOZ3M8m+PZHJ98HvXG4Tt89/1VKV/UPfKiX0deFJ8HfKf9B4fW
/bP6677Tlk27bGXK53z5xNZ811Dl3ybH8YfH8TnfdnH8L+P4nG/vOP6GOD7x
bb/Ha+Nn1a6trvjw3BGDnv4yxcnn4CVL27xyx8YU529ff3lWTd2q6o793n3z
5Es2pDgXRD7ndeWdusfxy+P4xDkqjj8ojk+cd8TxW8XxiXPDqM+7zKotK+5Z
tPDohgOb8kKDr/j78Fm1jdUvHDz25G9PL0/9k88Hrn9/cFlZeeqfzPP88oHa
na8+sSz1z5Zr3/xLXdVX1Y9NmH/jhosaU/7tsOcXrGio31j997P+XLZjzeaU
f7vupjd67FizoXrkwuXzB3TblDyMoK5ceaG1Ef/dET8eBkb8z0b8eDib+0bE
T/+sj/jPjfjpn1+u2Rr/wxE//XO/iP/FiJ9x4JcR/6ERP54/7LNyQl1Vy2Ll
Nq0uHXRNq+T50su/aDWrtqK4b8YDz139QcvkeeflK25vqG9RVLZ77KtbBrdM
nvlsNfnbb5x2dUXyXPvU8ueqapoXf207dnXHhS3SONBpx+XH1tQ1K1aPvOKn
04e0SOPAzCnLPqttKC8ee+vXq/e+sXkaB/ajDvTx/5sX+iDiXx7x4/miiH96
xI/nARF/t4gfzy8w7xfx43l8xP9cxI/n1hH/5xE/nh+M+GdE/Hh+eeHaN2sb
tik+7nLS0ke+apc8n16zdnxd1TbFEffUd+15WLvkeduZa76qr21bnLRgzNMf
3bFN8ss85L7vvtSr6/K2yTOfPz/50+0frW6bPH/5yapZVTWti7VXrrx03o1t
kufbh686tKauVdH7iscrRi1qyr/tHPmWacoLzY/4P4r48fxfEf/hET+e20f8
oyN+PP8+4t874sfzkRH/GRE/nldF/MsifjzfFPF3i/jxPOqoTbdVze9UrKrf
//Jf7N+UF9q15aaP6ms7FYtn7Hf3r5Z0Sp43P/H1bjWdOxW93moc/8r1nZJn
5nU/mr3TvQP27pT87n/Ahksa6jsUnU+Yd+keT3VMnvl8fqfjZ41p1zF5vqzz
+oeratoXJ1zQ5ey3R3VInq+KfMtPlBc6LuJfGfHj+TsR/8cRP56/jvh7Rvx4
/k3EvzDix/M+EX/7iB/P70X8T0f8eL4w4j8m4sfz639srKm7t0sxfdin3523
TVNeaPr4xpuqaroUx2y6+t69H+2SPE/o1fhe/bLORceyO2+ZPbJL8sw8+V/a
3dDiiMbOyXP3Szaf1bBX5+LZu3ZZu+G+zsnvJ3ttnlPbsG1x+NdDrqg/rHPy
zGfFYRcuv2p1U/6NzzXKC70W8U+L+PF8d8R/dMSP57Mi/vYRP56HRfwvRPx4
7hLxz4348bwo4j804sfznyL+8ogfzwdGvC/P2fW0I/7RPXnuMb/8B3VV3YtL
Pjy6/sjJ3ZPnJReUX1c1v1tx/813P3vCTt2TZ+oO5q7/WZ//frlb8nzNorL+
NZ27FYPeumLs1LO7Jc/H31r2s4b6rsWfd1v7vQWV3ZLf3Q4rq68d1bXYd9+/
/mfXuU35twmRb3leeSE+X4r48dwt4r8o4sfz4oj/vogfz7Mi/icjfjxfGfHv
FvHj+ccR/9MRf8onR/xDIn48z57Y4qHaUT2Ly9v97dlHH+6ZPE+JeC+Yeuaq
cUf2TJ5Hv998aN29lUUxfp8xA9ZXJs/UcTR/9ONxS+6oTJ7LDmq+oH5Zj2Jm
h+PH1Q+rTJ7f2Nhs+5q6HsWqOd96/tolTfm36TOajWvYq0cx9K73Pjv9uqb8
25LItzyrvNATEf9lEX/KJ8fneRE/nkdF/NURP553jfjLI348bzpwa/y/i/jx
/GrEvyLix/PUiP/7ET+ed3+n5XENe21fbFy0/IBuk5ryQuVb6lN6FRunTd6r
rqopL7Qg4j3jjJ/s0u3FXnqP7lVcdUfbkVPP6NV0/7u/4uKq+dsVFzzwj7KB
3XolzwdtqYvZrrjtnVtPfX52U/6tR8eK7jWdtytuWnjpSyeNacq/jY58y3vK
Cw2M+DdE/CmffM3W+NdH/Hjm8/SIH8/TIv4rIn48nx3xnxvx4/mAiP/miB/P
XSL+6yP+lK/4Xpu2NZ13KHasfO2YZSOa8kITl7U+uqG+T/HHh8eO239jn+T5
4Gmtp9aO6lOcfNqYdbdN7ZM8U2fUYdqeu68/oE/yvHRL3UTv4uLXqvf58ae9
k+c5W+p/ehevT/ngoGeu6508Tzmz1bz6ZdsXN9152+RdB/dOnhdEvmW88kL3
RPxVEX/KJ0f8MyN+/B4Y8Y+J+PHMZ7uIH8+fRPyTIn48Px7xvxLx4/nKiP/6
iD+9971SMbphXd/ixunl7Vd0bcoLbe2HfYsJr7575VWf9G3Kc15UcX/t7X2L
mqefmrvj7L7JM3VbbZ9ZOve5KX2T50ER7+gz97n1lBP7Js+VW65732LVgYNG
VuzRN3kuX9BmYtX8HYoLH9nQ8cEWff9tXmhKxH9DxJ88R/xnR/x4Hh3xHxLx
4/egiL9NxI9nPo+L+PHcPeL/IuLH86Y3tsZ/fsSP50M2t9yzbmz/ov6EeReP
mNyUFxq05ffYv6jp/+DihUc15YV6PtpyUlWb/sW+w8b/9qwdm/JC1MEtfWj4
y802NOXflp7acn79jH7FuP23O+XXLzbl396MeP9Yteznu9zZlH+b07Nll5qj
+hWDi5M7zT2jn/LJ/YvZygsdHPE/FvHjefeI/5CIH8+VEf8+ET+eyyL+JRF/
ytsrfjzzOTPix/MTEf8eEX+qd9q9dfuaBQOK6km/WNXu8wHJs+up8PzWh62O
bZg4oDh95X9M73HjgOTZdYB4vu/mVtNqew0oHp64/K877TUgeb5uy++rf9Fh
3LLt/9B6QPI8MeJtcddB93+/of+/zQs5fjwvjfiHRPwpn6z48Twn4l8c8ac8
p+LH75SIv13En+b1frnk/HMb6qs7Dz3w+EM7NdUX/XevG37/z/pPq/uvPfb8
Wy5vyr90j3q2i6KeDb7igroTf1j3efXhE4fN6TJhbcp3TLiv+Q6/rnqjuuHN
Q9eNvaGprmzs+7/q+Hjtiup3fvzEoP6161LdkdvDnY+ClzqO80Jcxx6KH+48
GNznBXc+iv4wQj7pD2VllYu/qf7txvA9IvJmaX4z/PcL/xynbdSbDYv8G+37
RF6rdeS16G9vRTxdIh74pXH8neL49MOh4efi8APfGB6ODA/0z9vier0X1ws+
Ma7L+3Fd6Lf7RB3j2KhjhJ8f/Cfii6I+embUb8PXBH+Kevjo//tFPH+PeODn
Rv9p1m9r/4EfEnG+GnHC/xT9p2f0H35H1z2/1c8vww98SPSfinVb+w/8lfA2
LLzBz4r+Myz6D+PeiAu3Xq9t43rBZ0Y/OT76CfzouI494jrCB0Z/6Br9gd+1
x6s0Hx2fzcQrYrzaP8YreKk8c6m6UNdJ8jsypz+XqqvM6tLjepnjOdu/hfMU
T/kZ1dnyOzdnHDPnfM05X3PO15zfe7Z+JH6/WT05eWzx9D4ljs9s/Uj4NMdn
VpcePrN1N9EPPO+Ad4+ftDenLtOcOkJz6t7MqdMyp67InDoYc+o2zKkzMGde
3Jx5XHOeg82ZJzPnd2iO52zeITyb49kcz+Z4NsezOZ7N8WyOZ3M8m+PZHM/m
eDbHszmezdP+YJpfSPuJiad9w8TTvmHiad8w8bRvmHjaN0wcz+Zp3zDxtG+Y
eNo3TDztGyae9g0TT/uGiad9w8Tx7HkEPJvj2TzVH4vj2RzP5ng2x7M5ns3x
bI5nczyb49kcz+Z4Nsez5wvwbI5nczyb49kcz+Z4NsezOZ7N8WyOZ3M8m+PZ
HM/meDbHs+cF4J4XwL/bw92e6+L2cLfnerk93O25jm4Pd3uur9vD3Z7r7vZw
t6c/uD3c7eknbg93e/qP28Pdnn7l9nC3p7+5Pdzt6YduD3d7+qfbw92efuv2
cLen33o+hf5pTj80p7+Z06/M6T/ZPE70E3P6gznX3Zzra851NOd6mXNdzPFv
jmfztD+Y5k3SfmLiad8w8bRvmHjaN0w87RsmnvYNE8ezedo3TDztGyae9g0T
T/uGiad9w8TTvmHiad8wcTx7fgTP5ng2x7M5ns3xbI5nczyb49kcz+Z4Nsez
OZ7N8WyOZ3M8ex4Ez+Z4NsezOZ7N8WyOZ3M8m+PZHM/meDbHszmezfFsjmdz
PHu+A8/meDbHszmezfFsjmdzPJvj2RzP5ng2x7M5ns3xbI5nczx7XgPP5ng2
x7M5ns3xbI5nczxn8y/h2RzP5ng2x7M5ns3xbI5n87SvoPKWaV9B8bSvoHja
V1A87SsonvYVFMdnlkdlX0HxtK+geNpXUDztKyie9hUUT/sKiqd9BcWpu3W+
jjpXc+oyzakjNKfuzfygeL4xp97FfFDUN5hTT2DO/Lc587VZfjLy3ebU9TrP
Rh2qOXWT5tT5mV8Tzx/m1J2Y/zzqDDIe8+LmzEObM29qTh2t813UfZpTp2hO
fYw59RxZHi/m782ZLzdnftecOlTnkaibNKeOxJy6hywfFfPc5mm/GnHqMp1v
oX7CnPl+c+ans7wQ9XvKMzBvbU4dv9/jFpTID4wokQfYr8T7/s4l3uuvKvH+
PqHEe/eSEu/Xo0u8Ry/4N+/L3/yenr//Mk/2/33/7Rbjp9/XqLM3py7cnDpm
c+puzamrM6cOzJy6JXPqbMypC8neQ2OczP5ujJN+n7o4xklz6rPNqSfO3iuj
ji17r4zxMOMxHppT12JOHYZ5/xgP/f5CHbk5dc/m1IGZU7dkTp1N9l4W4545
9et+/qfe2py6KHPqeMypOzHfN8a37Pk8xrHseTvGMXPqVPy8R92J71PUqfh+
Td2G298Q60zcnnU1bv9orJdwe9aHlKoDcXvqwt1+YNT7uv3oqA92e+pu3Z46
XbevjPpLtz846jWzecnwbs546OMwHppz3/FxqG/w82faP1yc+gNz5pv9d9lP
z5x1Vubcp815fjDn+cGcdQLZc2zUhZtTh509x0bdrTnPJ998HfPnW55PzHk+
KTUvb877lDnvU+a8T5nzPmXO+5Q571PmvE+Z8z5lzvuUOe9T3+w/98b7VBZP
1FeZnxV1SOY8r5qzXsW8W9QV+Xc0LdaBmLPuwpz6OT8nUydnznoYc9ZvmLPe
wDzth6nnYX6n5vxOzfl9mfP7Muf39c3z0b0yTt2hn6tPifowc9ZnmrOe0Jz1
QuasbzFnPYY56wey94WoF8/+btw3/fy/PO6P5ofGfdCc+132HhHr38y535mz
bsec+5c56yLMqeM3p+7c/Ij4nfp5/ux4fjBnPa056z/NWa9ofnmsTzNnnZI5
93dz1oGYs27BnDp7c+rCzS+LccfP86xDM2ddt5+TR7LPlTjr1sxZZ5XNN8V4
5edb1mObsz7ZnHVx5qzjMmfdkfmQGMf83Ps/MY6Zsy7afF6MO+as0zNnXZk5
66DMWbdjXsT45uftw2N8M2f9tvm4GN/Mh8e4Y846Q3PWxZlvjnVc5qw7Ml8c
4575rVGn6/eIBTHume8b454566jNV8e4Z/5P1s2Js67SnHWA5qxbM2edlTnr
grL3phgPzY+Kcc/P1RfGuGfOunFz1jmbXxDjnjnrSLN8e4yH5qzTM2ddmTnr
oMxZt2POOhPzO+K8/DzG/c7PV4zzbs/4bM79K6vbjHE7e/6P6+j2T0b8bj+D
9R06L54P3J77pXn3Eu8d/N6y99DoZ+Y8F2Z1vzEemhNnVq9bIk/OeG1O/Nl7
d8RfKh4/xxKPOd7Mub+av14iH06c5sRpjuesbjaud6n4/dyb9mcWT/szi3cv
kSdP+xuLp/2NXXfK/sYl4vFzLPGYDyyRP+fvZnWY8XdLHT97Li2RV+c45vR7
54fpZ+ZpnwdxvJgTtzlxmHNepfYZyOru4vdlTr81pz+Yc13M8ZnV45XIt8NL
+fRzKT6zOjT2cxDHpzk+zYmv1L4B5ngzx1uWPw9v5njL6tbCTykPWZ0Y+8qK
p31lxdO+suJpX9kS6/fN036w4mk/WPG0H6zz+ewHW+K8/NzOeZlzXuacV6l1
8ebEb078WV1WxF8qTj+3p/WJ4sRZav24eVrX7PqliKfU3/VzNX+31LrprG6H
9WgljlNq/a8546rva4wD2Xx0jBfm/E6y9Sn0J/G0rk33qfTvLIinf09BPP27
Bs5r8e8XeB0H/06BePr3CMSJ0/c14jQnzmw9RRzXnPjNiT9bHxHxmxN/lqeK
/mfOefk+y3mZc17Z+oU4L3P+njnna875ZusU4nzNOV/ztL5VnN9JqecK3x/x
YI6HbL1AeDDHgzlxlNq/yBw/Wd1++DHHjzl+zPFjnvbHEL+2RF6L+M3T/u26
v4wpkddK+6iLp33UxdP+VBr/Ob75eSXyWvxdc/5uVj8ccZgTj8f/tN5fnHiy
et0SeS3iNE/7Mbr+NuI0J25z4vf9hfjNiT+rg2V/JPFjS+S1OC/ztA+P613Z
X1Gc8zLnPM05X98fOV9zzjerR43zNed8s/xVibwWHszxkNWjhgdzPGT5q/Bg
jpdSzwnOe6T96sXTfvWej2a/+hL5E/O0X7344yXyXWm/evG0X73rTtn3Rjzt
Vy+e9qsXT/vVi6f96sXx6TwJ8TvPAy9VF2HO+ZoTT7b+OuIz53upvFM2X1+i
7hTP2fxseDYvVe9BnOb/CwsPaxs=
   "], {{
     {RGBColor[0, 0, 1], Opacity[0.5], EdgeForm[None], 
      StyleBox[GraphicsGroup3DBox[
        TagBox[{Polygon3DBox[CompressedData["
1:eJw1mgf8T9Ubx+/5nnubpF0aUlE2CWVUMkMkGaFUZDRQVmSWndUkhSKRaO+B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           "]], Polygon3DBox[CompressedData["
1:eJw1mnfgT9X/x88997w1jIwSWaGhndBWJElpoKElq0RlJyKzFEloCCVFGhq+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           "]], Polygon3DBox[CompressedData["
1:eJwt12fYFNUVAOBl+VZAxBI0QUwEQxOpSm9iImKhaCgq0jtI70WadJQmHaQo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           "]], Polygon3DBox[{{1093, 1139, 532, 335, 334, 734}}]},
         Annotation[#, "Charting`Private`Tag$2398#1"]& ]],
       Lighting->Automatic]}, {}, {}, {}, {}}, {{}, {}, {}, 
     {GrayLevel[0.2], 
      Line3DBox[{308, 717, 770, 523, 1449, 309, 718, 530, 329, 1342, 537, 344,
        1347, 552, 359, 1354, 567, 374, 1363, 582, 389, 1374, 597, 1285, 404, 
       612, 1299, 419, 1389, 627, 434, 1393, 642, 449, 1399, 657, 464, 1407, 
       672, 479, 1417, 687, 494, 1429, 702, 509}], 
      Line3DBox[{310, 719, 771, 524, 1450, 311, 720, 531, 1253, 330, 538, 345,
        1348, 553, 360, 1355, 568, 375, 1364, 583, 390, 1375, 598, 1286, 405, 
       613, 1300, 420, 628, 1311, 435, 1394, 643, 450, 1400, 658, 465, 1408, 
       673, 480, 1418, 688, 495, 1430, 703, 510}], 
      Line3DBox[{312, 233, 1110, 264, 234, 1254, 331, 539, 1260, 346, 554, 
       361, 1356, 569, 376, 1365, 584, 391, 1376, 599, 1287, 406, 614, 1301, 
       421, 629, 1312, 436, 644, 1321, 451, 1401, 659, 466, 1409, 674, 481, 
       1419, 689, 496, 1431, 704, 511}], 
      Line3DBox[{313, 721, 772, 722, 1248, 762, 723, 724, 1255, 332, 540, 
       1261, 347, 555, 1269, 362, 570, 377, 1366, 585, 392, 1377, 600, 1288, 
       407, 615, 1302, 422, 630, 1313, 437, 645, 1322, 452, 660, 1329, 467, 
       1410, 675, 482, 1420, 690, 497, 1432, 705, 512}], 
      Line3DBox[{314, 725, 773, 726, 1249, 763, 727, 728, 333, 541, 1262, 348,
        556, 1270, 363, 571, 1276, 378, 586, 393, 1378, 601, 1289, 408, 616, 
       1303, 423, 631, 1314, 438, 646, 1323, 453, 661, 1330, 468, 676, 1335, 
       483, 1421, 691, 498, 1433, 706, 513}], 
      Line3DBox[{315, 729, 774, 1454, 731, 764, 732, 1445, 734, 334, 542, 
       1263, 349, 557, 1271, 364, 572, 1277, 379, 587, 1281, 394, 602, 1290, 
       409, 617, 1304, 424, 632, 1315, 439, 647, 1324, 454, 662, 1331, 469, 
       677, 1336, 484, 692, 1339, 499, 1434, 707, 514}], 
      Line3DBox[{318, 735, 776, 526, 1451, 319, 736, 1446, 533, 336, 1344, 
       544, 351, 1350, 559, 366, 1358, 574, 381, 1368, 589, 396, 1380, 604, 
       1291, 411, 619, 426, 1391, 634, 441, 1396, 649, 456, 1403, 664, 471, 
       1412, 679, 486, 1423, 694, 501, 1436, 709, 516}], 
      Line3DBox[{320, 737, 777, 527, 1452, 321, 738, 534, 1256, 337, 1345, 
       545, 352, 1351, 560, 367, 1359, 575, 382, 1369, 590, 397, 1381, 605, 
       1292, 412, 620, 1305, 427, 635, 442, 1397, 650, 457, 1404, 665, 472, 
       1413, 680, 487, 1424, 695, 502, 1437, 710, 517}], 
      Line3DBox[{322, 739, 778, 528, 1453, 323, 740, 535, 1257, 338, 546, 
       1264, 353, 1352, 561, 368, 1360, 576, 383, 1370, 591, 398, 1382, 606, 
       1293, 413, 621, 1306, 428, 636, 1316, 443, 651, 458, 1405, 666, 473, 
       1414, 681, 488, 1425, 696, 503, 1438, 711, 518}], 
      Line3DBox[{324, 741, 779, 742, 1250, 765, 743, 744, 1258, 339, 547, 
       1265, 354, 562, 1272, 369, 1361, 577, 384, 1371, 592, 399, 1383, 607, 
       1294, 414, 622, 1307, 429, 637, 1317, 444, 652, 1325, 459, 667, 474, 
       1415, 682, 489, 1426, 697, 504, 1439, 712, 519}], 
      Line3DBox[{325, 745, 780, 746, 1251, 766, 747, 748, 1259, 340, 548, 
       1266, 355, 563, 1273, 370, 578, 1278, 385, 1372, 593, 400, 1384, 608, 
       1295, 415, 623, 1308, 430, 638, 1318, 445, 653, 1326, 460, 668, 1332, 
       475, 683, 490, 1427, 698, 505, 1440, 713, 520}], 
      Line3DBox[{326, 749, 781, 750, 1252, 767, 751, 1447, 752, 341, 549, 
       1267, 356, 564, 1274, 371, 579, 1279, 386, 594, 1282, 401, 1385, 609, 
       1296, 416, 624, 1309, 431, 639, 1319, 446, 654, 1327, 461, 669, 1333, 
       476, 684, 1337, 491, 699, 506, 1441, 714, 521}], 
      Line3DBox[{327, 753, 782, 1455, 754, 768, 755, 1448, 756, 342, 550, 
       1268, 357, 565, 1275, 372, 580, 1280, 387, 595, 1283, 402, 610, 1297, 
       1298, 417, 625, 1310, 432, 640, 1320, 447, 655, 1328, 462, 670, 1334, 
       477, 685, 1338, 492, 700, 1340, 507, 758, 759, 760}], 
      Line3DBox[{508, 701, 757, 1428, 493, 686, 1416, 478, 671, 1406, 463, 
       656, 1398, 448, 641, 1392, 433, 626, 1388, 418, 611, 1386, 403, 1284, 
       596, 1373, 388, 581, 1362, 373, 566, 1353, 358, 551, 1346, 343, 536, 
       1341, 328, 529, 1442, 716, 307, 522, 769, 715, 761}], 
      Line3DBox[{515, 708, 1435, 500, 693, 1422, 485, 678, 1411, 470, 663, 
       1402, 455, 648, 1395, 440, 633, 1390, 425, 618, 1387, 410, 603, 1379, 
       395, 588, 1367, 380, 573, 1357, 365, 558, 1349, 350, 543, 1343, 335, 
       532, 1444, 733, 317, 525, 1443, 775, 730, 316}]}, 
     {GrayLevel[0.2], 
      Line3DBox[{783, 1134, 1135, 1107, 522, 1121, 1086, 1108, 1449, 993, 
       1122, 1088, 1109, 1450, 994, 1123, 1090, 1110, 995, 1124, 1239, 1248, 
       1111, 996, 1125, 1241, 1249, 1112, 997, 1126, 1454, 1092, 1113, 1137, 
       1443, 1127, 1094, 1114, 1451, 998, 1128, 1096, 1115, 1452, 999, 1129, 
       1098, 1116, 1453, 1000, 1130, 1242, 1250, 1117, 1001, 1131, 1244, 1251,
        1118, 1002, 1132, 1246, 1252, 1119, 1003, 1133, 1455, 1101, 1120, 
       1136, 1004, 1102}], 
      Line3DBox[{785, 1085, 1138, 1442, 784, 1087, 530, 786, 1089, 1253, 1005,
        787, 1091, 1254, 1006, 788, 1240, 1255, 1007, 789, 728, 1008, 790, 
       1445, 1093, 1139, 1444, 791, 1095, 1140, 1446, 792, 1097, 1256, 1009, 
       793, 1099, 1257, 1010, 794, 1243, 1258, 1011, 795, 1245, 1259, 1012, 
       796, 1447, 1100, 1013, 797, 1448, 1103, 1014, 798}], 
      Line3DBox[{800, 1141, 1341, 799, 1142, 1342, 801, 538, 802, 1260, 1015, 
       803, 1261, 1016, 804, 1262, 1017, 805, 1263, 1143, 1343, 806, 1144, 
       1344, 807, 1145, 1345, 808, 1264, 1018, 809, 1265, 1019, 810, 1266, 
       1020, 811, 1267, 1021, 812, 1268, 1022, 813}], 
      Line3DBox[{815, 1146, 1346, 814, 1147, 1347, 816, 1148, 1348, 817, 554, 
       818, 1269, 1023, 819, 1270, 1024, 820, 1271, 1149, 1349, 821, 1150, 
       1350, 822, 1151, 1351, 823, 1152, 1352, 824, 1272, 1025, 825, 1273, 
       1026, 826, 1274, 1027, 827, 1275, 1028, 828}], 
      Line3DBox[{830, 1153, 1353, 829, 1154, 1354, 831, 1155, 1355, 832, 1156,
        1356, 833, 570, 834, 1276, 1029, 835, 1277, 1157, 1357, 836, 1158, 
       1358, 837, 1159, 1359, 838, 1160, 1360, 839, 1161, 1361, 840, 1278, 
       1030, 841, 1279, 1031, 842, 1280, 1032, 843}], 
      Line3DBox[{845, 1162, 1362, 844, 1163, 1363, 846, 1164, 1364, 847, 1165,
        1365, 848, 1166, 1366, 849, 586, 850, 1281, 1167, 1367, 851, 1168, 
       1368, 852, 1169, 1369, 853, 1170, 1370, 854, 1171, 1371, 855, 1172, 
       1372, 856, 1282, 1033, 857, 1283, 1034, 858}], 
      Line3DBox[{862, 1284, 1035, 860, 1285, 1036, 864, 1286, 1037, 866, 1287,
        1038, 868, 1288, 1039, 870, 1289, 1040, 872, 1290, 603, 874, 1291, 
       1041, 876, 1292, 1042, 878, 1293, 1043, 880, 1294, 1044, 882, 1295, 
       1045, 884, 1296, 1046, 886, 1298, 1048, 888}], 
      Line3DBox[{887, 1047, 1297, 885, 1385, 1184, 883, 1384, 1183, 881, 1383,
        1182, 879, 1382, 1181, 877, 1381, 1180, 875, 1380, 1179, 873, 1379, 
       602, 871, 1378, 1178, 869, 1377, 1177, 867, 1376, 1176, 865, 1375, 
       1175, 863, 1374, 1174, 859, 1373, 1173, 861}], 
      Line3DBox[{890, 1185, 1386, 889, 1299, 1049, 891, 1300, 1050, 892, 1301,
        1051, 893, 1302, 1052, 894, 1303, 1053, 895, 1304, 1186, 1387, 896, 
       619, 897, 1305, 1054, 898, 1306, 1055, 899, 1307, 1056, 900, 1308, 
       1057, 901, 1309, 1058, 902, 1310, 1059, 903}], 
      Line3DBox[{905, 1187, 1388, 904, 1188, 1389, 906, 1311, 1060, 907, 1312,
        1061, 908, 1313, 1062, 909, 1314, 1063, 910, 1315, 1189, 1390, 911, 
       1190, 1391, 912, 635, 913, 1316, 1064, 914, 1317, 1065, 915, 1318, 
       1066, 916, 1319, 1067, 917, 1320, 1068, 918}], 
      Line3DBox[{920, 1191, 1392, 919, 1192, 1393, 921, 1193, 1394, 922, 1321,
        1069, 923, 1322, 1070, 924, 1323, 1071, 925, 1324, 1194, 1395, 926, 
       1195, 1396, 927, 1196, 1397, 928, 651, 929, 1325, 1072, 930, 1326, 
       1073, 931, 1327, 1074, 932, 1328, 1075, 933}], 
      Line3DBox[{935, 1197, 1398, 934, 1198, 1399, 936, 1199, 1400, 937, 1200,
        1401, 938, 1329, 1076, 939, 1330, 1077, 940, 1331, 1201, 1402, 941, 
       1202, 1403, 942, 1203, 1404, 943, 1204, 1405, 944, 667, 945, 1332, 
       1078, 946, 1333, 1079, 947, 1334, 1080, 948}], 
      Line3DBox[{950, 1205, 1406, 949, 1206, 1407, 951, 1207, 1408, 952, 1208,
        1409, 953, 1209, 1410, 954, 1335, 1081, 955, 1336, 1210, 1411, 956, 
       1211, 1412, 957, 1212, 1413, 958, 1213, 1414, 959, 1214, 1415, 960, 
       683, 961, 1337, 1082, 962, 1338, 1083, 963}], 
      Line3DBox[{965, 1215, 1416, 964, 1216, 1417, 966, 1217, 1418, 967, 1218,
        1419, 968, 1219, 1420, 969, 1220, 1421, 970, 1339, 1221, 1422, 971, 
       1222, 1423, 972, 1223, 1424, 973, 1224, 1425, 974, 1225, 1426, 975, 
       1226, 1427, 976, 699, 977, 1340, 1084, 978}], 
      Line3DBox[{992, 1106, 758, 991, 1441, 1238, 990, 1440, 1237, 989, 1439, 
       1236, 988, 1438, 1235, 987, 1437, 1234, 986, 1436, 1233, 985, 1435, 
       1434, 1232, 984, 1433, 1231, 983, 1432, 1230, 982, 1431, 1229, 981, 
       1430, 1228, 980, 1429, 1227, 979, 1247, 1428, 1104, 1105}]}}},
   VertexNormals->CompressedData["
1:eJztm3lcTVsbx08DStKlAckYpUyZSTeRSF1TydugDKGrS6TBEGXqpIESN4pr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    "]],
  Axes->True,
  AxesLabel->{
    FormBox["\"x\"", TraditionalForm], 
    FormBox["\"y\"", TraditionalForm], 
    FormBox["\"z\"", TraditionalForm]},
  DisplayFunction->Identity,
  FaceGridsStyle->Automatic,
  ImageSize->{391.89085329800315`, 382.9893363219526},
  Method->{},
  PlotRange->{{0., 9.999999285714285}, {0., 9.999999285714285}, {0., 
   10.049874910380039`}},
  PlotRangePadding->{
    Scaled[0.02], 
    Scaled[0.02], 
    Scaled[0.02]},
  Ticks->{Automatic, Automatic, Automatic},
  ViewPoint->{2.288512853215482, 0.863774176683319, 2.3380767935126903`},
  ViewVertical->{0.024313772160100392`, -0.3175541215899299, 
   0.9484579566500221}]], "Output",
 CellChangeTimes->{
  3.698424733647438*^9, 3.698425171349989*^9, {3.6984253383202524`*^9, 
   3.6984253576029463`*^9}, 3.6984257807249765`*^9, 3.69842731093813*^9, 
   3.6984273671240845`*^9, 3.699087699837782*^9, 3.6992004272688465`*^9, 
   3.69920131571731*^9, 3.6992022593079844`*^9, 3.699202330169568*^9, 
   3.6992023697413893`*^9, 3.6992103687695045`*^9, 3.6998120194928756`*^9, 
   3.701424060202326*^9, 3.701425729741912*^9, 3.701426707610449*^9, 
   3.701428733566471*^9, 3.7014453405835133`*^9, 3.70144567734586*^9, 
   3.7014468641326413`*^9, 3.72993183564641*^9, 3.730022958178095*^9, 
   3.7322965016966677`*^9, 
   3.765562855915214*^9},ExpressionUUID->"81bfe4d6-2500-4e1d-b725-\
1a4d45db7342"]
}, Open  ]]
}, Open  ]]
}, Open  ]],

Cell[CellGroupData[{

Cell["Ejercicio 2:", "Section",
 CellChangeTimes->{{3.698424839013981*^9, 3.6984248465353994`*^9}}],

Cell["\<\
Las superficies anteriores, son respectivamente interceptadas por los  planos:\
\>", "Text",
 CellChangeTimes->{{3.698424855773898*^9, 3.6984248824399137`*^9}}],

Cell[CellGroupData[{

Cell["Inciso a): z = 2", "Subsection",
 CellChangeTimes->{{3.698424887807748*^9, 3.698424896464853*^9}}],

Cell["La ecuaci\[OAcute]n param\[EAcute]trica de esta curva esta dada por:", \
"Text",
 CellChangeTimes->{{3.698424905460313*^9, 3.6984249205479703`*^9}}],

Cell[CellGroupData[{

Cell[BoxData[
 RowBox[{"c1", "=", 
  RowBox[{"ParametricPlot3D", "[", 
   RowBox[{
    RowBox[{"{", 
     RowBox[{"t", ",", 
      RowBox[{"2", "*", 
       SqrtBox["t"]}], ",", "2"}], "}"}], ",", 
    RowBox[{"{", 
     RowBox[{"t", ",", "0", ",", "10"}], "}"}], ",", 
    RowBox[{"PlotStyle", "\[Rule]", 
     RowBox[{"{", 
      RowBox[{
       RowBox[{"Thickness", "[", "0.02", "]"}], ",", 
       RowBox[{"RGBColor", "[", 
        RowBox[{"0", ",", "0", ",", "0"}], "]"}]}], "}"}]}], ",", 
    RowBox[{"AxesLabel", "\[Rule]", 
     RowBox[{"{", 
      RowBox[{"\"\<x\>\"", ",", "\"\<y\>\"", ",", "\"\<z\>\""}], "}"}]}]}], 
   "]"}]}]], "Input",
 CellChangeTimes->{{3.6984249266022964`*^9, 3.698424950610347*^9}, {
   3.698425001007758*^9, 3.698425031506446*^9}, {3.698425086728718*^9, 
   3.6984251132515945`*^9}, {3.698425175755123*^9, 3.698425175880211*^9}, {
   3.6984253753155594`*^9, 3.6984253756787987`*^9}, 
   3.698427346020077*^9},ExpressionUUID->"6c5f2bb1-1585-4cc7-a840-\
e7e7bcb2c575"],

Cell[BoxData[
 Graphics3DBox[{{}, {}, 
   TagBox[
    {RGBColor[0, 0, 0], Thickness[0.02], Line3DBox[CompressedData["
1:eJxF0GtMk2cYBuB25TSo0HKSk/SEHGphdAGiyPY9Mje0gBFGO1d00E8oC+Mw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      "]]},
    Annotation[#, "Charting`Private`Tag$2418#1"]& ]},
  Axes->True,
  AxesLabel->{
    FormBox["\"x\"", TraditionalForm], 
    FormBox["\"y\"", TraditionalForm], 
    FormBox["\"z\"", TraditionalForm]},
  DisplayFunction->Identity,
  FaceGridsStyle->Automatic,
  ImageSize->{358.71966877089784`, 288.9212726300672},
  Method->{},
  PlotRange->{{0., 9.999999795918367}, {0., 6.32455525580048}, {0., 4.}},
  PlotRangePadding->{
    Scaled[0.02], 
    Scaled[0.02], 
    Scaled[0.02]},
  Ticks->{Automatic, Automatic, Automatic},
  ViewPoint->{1.929046409977646, -2.064228813938551, 1.8621867124051223`},
  ViewVertical->{0.00436435204229578, -0.10210293146790539`, 
   2.494758139899373}]], "Output",
 CellChangeTimes->{
  3.698424951224785*^9, 3.6984250025538588`*^9, 3.698425033459836*^9, {
   3.6984250887541647`*^9, 3.6984251136948967`*^9}, 3.698425176874919*^9, 
   3.698425375965002*^9, 3.6984257808000193`*^9, 3.6984273109641314`*^9, 
   3.6984273671531053`*^9, 3.699087699868804*^9, 3.6992004273018894`*^9, 
   3.699201315749356*^9, 3.69920225934102*^9, 3.699202330217605*^9, 
   3.6992023697964306`*^9, 3.6992103688015475`*^9, 3.6998120195959554`*^9, 
   3.70142406023837*^9, 3.701425729812973*^9, 3.701426707662484*^9, 
   3.701428733615506*^9, 3.7014453406815877`*^9, 3.7014456774069147`*^9, 
   3.701446864184679*^9, 3.7299318356823893`*^9, 3.730022958208042*^9, 
   3.732296501729538*^9, 
   3.765562855942071*^9},ExpressionUUID->"ccab24a5-85b8-4d90-b35b-\
1bb5ee15dfae"]
}, Open  ]],

Cell[CellGroupData[{

Cell[BoxData[
 RowBox[{"pl1", "=", 
  RowBox[{"ParametricPlot3D", "[", 
   RowBox[{
    RowBox[{"{", 
     RowBox[{"u", ",", "v", ",", "2"}], "}"}], ",", 
    RowBox[{"{", 
     RowBox[{"u", ",", "0", ",", "10"}], "}"}], ",", 
    RowBox[{"{", 
     RowBox[{"v", ",", "0", ",", "10"}], "}"}], ",", 
    RowBox[{"PlotStyle", "\[Rule]", 
     RowBox[{"RGBColor", "[", 
      RowBox[{"1", ",", "0", ",", "1", ",", "0.5"}], "]"}]}], ",", 
    RowBox[{"AxesLabel", "\[Rule]", 
     RowBox[{"{", 
      RowBox[{"\"\<x\>\"", ",", "\"\<y\>\"", ",", "\"\<z\>\""}], "}"}]}]}], 
   "]"}]}]], "Input",
 CellChangeTimes->{{3.6984249740470257`*^9, 3.6984250067098145`*^9}, {
   3.6984251799320927`*^9, 3.6984251832844753`*^9}, {3.6984252387254286`*^9, 
   3.698425263371936*^9}, 
   3.698426522433175*^9},ExpressionUUID->"6366ca53-bef9-4a95-9376-\
f64b98de43a6"],

Cell[BoxData[
 Graphics3DBox[GraphicsComplex3DBox[CompressedData["
1:eJyNnHuM3FUVgGfb7naLPFu7LRR5tEOIPAoh0GAEtkoLDsVUQCyyFBAFTHQQ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   "], {{
     {RGBColor[1, 0, 1], Opacity[0.5], EdgeForm[None], 
      StyleBox[GraphicsGroup3DBox[
        TagBox[{Polygon3DBox[CompressedData["
1:eJwtmXfgV9Mbx++553zsEJKQJGRVUtJPGaGhkC0lKQ0kSWRklKZRSZlFhbJn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           "]], Polygon3DBox[CompressedData["
1:eJxNmnncVVMbhvdeayWKDM1zUVSGzGROISoSkVAkUiikkilUKpW5kJAGY4NI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           "]], Polygon3DBox[CompressedData["
1:eJwt13f8luMaAPD3977vL5qi1KGt4TSdNNA8DQkNDeW0HC2rgYaOljSEEi0h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           "]]},
         Annotation[#, "Charting`Private`Tag$2437#1"]& ]],
       Lighting->Automatic]}, {}, {}, {}, {}}, {{}, {}, {}, 
     {GrayLevel[0.2], 
      Line3DBox[{251, 474, 1113, 252, 488, 280, 1222, 503, 295, 1227, 518, 
       310, 1234, 533, 325, 1243, 548, 340, 1254, 563, 1161, 355, 578, 1175, 
       370, 1269, 593, 385, 1273, 608, 400, 1279, 623, 415, 1287, 638, 430, 
       1297, 653, 445, 1309, 668, 460}], 
      Line3DBox[{253, 475, 1114, 254, 489, 1125, 281, 504, 296, 1228, 519, 
       311, 1235, 534, 326, 1244, 549, 341, 1255, 564, 1162, 356, 579, 1176, 
       371, 594, 1187, 386, 1274, 609, 401, 1280, 624, 416, 1288, 639, 431, 
       1298, 654, 446, 1310, 669, 461}], 
      Line3DBox[{255, 476, 1115, 256, 490, 1126, 282, 505, 1136, 297, 520, 
       312, 1236, 535, 327, 1245, 550, 342, 1256, 565, 1163, 357, 580, 1177, 
       372, 595, 1188, 387, 610, 1197, 402, 1281, 625, 417, 1289, 640, 432, 
       1299, 655, 447, 1311, 670, 462}], 
      Line3DBox[{257, 477, 1116, 258, 491, 1127, 283, 506, 1137, 298, 521, 
       1145, 313, 536, 328, 1246, 551, 343, 1257, 566, 1164, 358, 581, 1178, 
       373, 596, 1189, 388, 611, 1198, 403, 626, 1205, 418, 1290, 641, 433, 
       1300, 656, 448, 1312, 671, 463}], 
      Line3DBox[{259, 478, 1117, 260, 492, 1128, 284, 507, 1138, 299, 522, 
       1146, 314, 537, 1152, 329, 552, 344, 1258, 567, 1165, 359, 582, 1179, 
       374, 597, 1190, 389, 612, 1199, 404, 627, 1206, 419, 642, 1211, 434, 
       1301, 657, 449, 1313, 672, 464}], 
      Line3DBox[{261, 479, 1118, 263, 493, 1129, 285, 508, 1139, 300, 523, 
       1147, 315, 538, 1153, 330, 553, 1157, 345, 568, 1166, 360, 583, 1180, 
       375, 598, 1191, 390, 613, 1200, 405, 628, 1207, 420, 643, 1212, 435, 
       658, 1215, 450, 1314, 673, 465}], 
      Line3DBox[{265, 481, 1119, 266, 1220, 495, 287, 1224, 510, 302, 1230, 
       525, 317, 1238, 540, 332, 1248, 555, 347, 1260, 570, 1167, 362, 585, 
       377, 1271, 600, 392, 1276, 615, 407, 1283, 630, 422, 1292, 645, 437, 
       1303, 660, 452, 1316, 675, 467}], 
      Line3DBox[{267, 482, 1120, 268, 496, 1130, 288, 1225, 511, 303, 1231, 
       526, 318, 1239, 541, 333, 1249, 556, 348, 1261, 571, 1168, 363, 586, 
       1181, 378, 601, 393, 1277, 616, 408, 1284, 631, 423, 1293, 646, 438, 
       1304, 661, 453, 1317, 676, 468}], 
      Line3DBox[{269, 483, 1121, 270, 497, 1131, 289, 512, 1140, 304, 1232, 
       527, 319, 1240, 542, 334, 1250, 557, 349, 1262, 572, 1169, 364, 587, 
       1182, 379, 602, 1192, 394, 617, 409, 1285, 632, 424, 1294, 647, 439, 
       1305, 662, 454, 1318, 677, 469}], 
      Line3DBox[{271, 484, 1122, 272, 498, 1132, 290, 513, 1141, 305, 528, 
       1148, 320, 1241, 543, 335, 1251, 558, 350, 1263, 573, 1170, 365, 588, 
       1183, 380, 603, 1193, 395, 618, 1201, 410, 633, 425, 1295, 648, 440, 
       1306, 663, 455, 1319, 678, 470}], 
      Line3DBox[{273, 485, 1123, 274, 499, 1133, 291, 514, 1142, 306, 529, 
       1149, 321, 544, 1154, 336, 1252, 559, 351, 1264, 574, 1171, 366, 589, 
       1184, 381, 604, 1194, 396, 619, 1202, 411, 634, 1208, 426, 649, 441, 
       1307, 664, 456, 1320, 679, 471}], 
      Line3DBox[{275, 486, 1124, 276, 500, 1134, 292, 515, 1143, 307, 530, 
       1150, 322, 545, 1155, 337, 560, 1158, 352, 1265, 575, 1172, 367, 590, 
       1185, 382, 605, 1195, 397, 620, 1203, 412, 635, 1209, 427, 650, 1213, 
       442, 665, 457, 1321, 680, 472}], 
      Line3DBox[{277, 682, 1322, 683, 278, 501, 1135, 293, 516, 1144, 308, 
       531, 1151, 323, 546, 1156, 338, 561, 1159, 353, 576, 1173, 1174, 368, 
       591, 1186, 383, 606, 1196, 398, 621, 1204, 413, 636, 1210, 428, 651, 
       1214, 443, 666, 1216, 458, 685, 686, 687}], 
      Line3DBox[{459, 667, 684, 1308, 444, 652, 1296, 429, 637, 1286, 414, 
       622, 1278, 399, 607, 1272, 384, 592, 1268, 369, 577, 1266, 354, 1160, 
       562, 1253, 339, 547, 1242, 324, 532, 1233, 309, 517, 1226, 294, 502, 
       1221, 279, 487, 1218, 250, 473, 681, 688}], 
      Line3DBox[{466, 674, 1315, 451, 659, 1302, 436, 644, 1291, 421, 629, 
       1282, 406, 614, 1275, 391, 599, 1270, 376, 584, 1267, 361, 569, 1259, 
       346, 554, 1247, 331, 539, 1237, 316, 524, 1229, 301, 509, 1223, 286, 
       494, 1219, 264, 480, 1217, 262}]}, 
     {GrayLevel[0.2], 
      Line3DBox[{690, 1004, 473, 689, 1113, 912, 691, 1114, 913, 692, 1115, 
       914, 693, 1116, 915, 694, 1117, 916, 695, 1118, 1010, 1217, 696, 1119, 
       917, 697, 1120, 918, 698, 1121, 919, 699, 1122, 920, 700, 1123, 921, 
       701, 1124, 922, 702, 1322, 1005, 923, 1006}], 
      Line3DBox[{704, 1011, 1218, 703, 488, 705, 1125, 924, 706, 1126, 925, 
       707, 1127, 926, 708, 1128, 927, 709, 1129, 1012, 1219, 710, 1013, 1220,
        711, 1130, 928, 712, 1131, 929, 713, 1132, 930, 714, 1133, 931, 715, 
       1134, 932, 716, 1135, 933, 717}], 
      Line3DBox[{719, 1014, 1221, 718, 1015, 1222, 720, 504, 721, 1136, 934, 
       722, 1137, 935, 723, 1138, 936, 724, 1139, 1016, 1223, 725, 1017, 1224,
        726, 1018, 1225, 727, 1140, 937, 728, 1141, 938, 729, 1142, 939, 730, 
       1143, 940, 731, 1144, 941, 732}], 
      Line3DBox[{734, 1019, 1226, 733, 1020, 1227, 735, 1021, 1228, 736, 520, 
       737, 1145, 942, 738, 1146, 943, 739, 1147, 1022, 1229, 740, 1023, 1230,
        741, 1024, 1231, 742, 1025, 1232, 743, 1148, 944, 744, 1149, 945, 745,
        1150, 946, 746, 1151, 947, 747}], 
      Line3DBox[{749, 1026, 1233, 748, 1027, 1234, 750, 1028, 1235, 751, 1029,
        1236, 752, 536, 753, 1152, 948, 754, 1153, 1030, 1237, 755, 1031, 
       1238, 756, 1032, 1239, 757, 1033, 1240, 758, 1034, 1241, 759, 1154, 
       949, 760, 1155, 950, 761, 1156, 951, 762}], 
      Line3DBox[{764, 1035, 1242, 763, 1036, 1243, 765, 1037, 1244, 766, 1038,
        1245, 767, 1039, 1246, 768, 552, 769, 1157, 1040, 1247, 770, 1041, 
       1248, 771, 1042, 1249, 772, 1043, 1250, 773, 1044, 1251, 774, 1045, 
       1252, 775, 1158, 952, 776, 1159, 953, 777}], 
      Line3DBox[{781, 1160, 954, 779, 1161, 955, 783, 1162, 956, 785, 1163, 
       957, 787, 1164, 958, 789, 1165, 959, 791, 1166, 569, 793, 1167, 960, 
       795, 1168, 961, 797, 1169, 962, 799, 1170, 963, 801, 1171, 964, 803, 
       1172, 965, 805, 1174, 967, 807}], 
      Line3DBox[{806, 966, 1173, 804, 1265, 1057, 802, 1264, 1056, 800, 1263, 
       1055, 798, 1262, 1054, 796, 1261, 1053, 794, 1260, 1052, 792, 1259, 
       568, 790, 1258, 1051, 788, 1257, 1050, 786, 1256, 1049, 784, 1255, 
       1048, 782, 1254, 1047, 778, 1253, 1046, 780}], 
      Line3DBox[{809, 1058, 1266, 808, 1175, 968, 810, 1176, 969, 811, 1177, 
       970, 812, 1178, 971, 813, 1179, 972, 814, 1180, 1059, 1267, 815, 585, 
       816, 1181, 973, 817, 1182, 974, 818, 1183, 975, 819, 1184, 976, 820, 
       1185, 977, 821, 1186, 978, 822}], 
      Line3DBox[{824, 1060, 1268, 823, 1061, 1269, 825, 1187, 979, 826, 1188, 
       980, 827, 1189, 981, 828, 1190, 982, 829, 1191, 1062, 1270, 830, 1063, 
       1271, 831, 601, 832, 1192, 983, 833, 1193, 984, 834, 1194, 985, 835, 
       1195, 986, 836, 1196, 987, 837}], 
      Line3DBox[{839, 1064, 1272, 838, 1065, 1273, 840, 1066, 1274, 841, 1197,
        988, 842, 1198, 989, 843, 1199, 990, 844, 1200, 1067, 1275, 845, 1068,
        1276, 846, 1069, 1277, 847, 617, 848, 1201, 991, 849, 1202, 992, 850, 
       1203, 993, 851, 1204, 994, 852}], 
      Line3DBox[{854, 1070, 1278, 853, 1071, 1279, 855, 1072, 1280, 856, 1073,
        1281, 857, 1205, 995, 858, 1206, 996, 859, 1207, 1074, 1282, 860, 
       1075, 1283, 861, 1076, 1284, 862, 1077, 1285, 863, 633, 864, 1208, 997,
        865, 1209, 998, 866, 1210, 999, 867}], 
      Line3DBox[{869, 1078, 1286, 868, 1079, 1287, 870, 1080, 1288, 871, 1081,
        1289, 872, 1082, 1290, 873, 1211, 1000, 874, 1212, 1083, 1291, 875, 
       1084, 1292, 876, 1085, 1293, 877, 1086, 1294, 878, 1087, 1295, 879, 
       649, 880, 1213, 1001, 881, 1214, 1002, 882}], 
      Line3DBox[{884, 1088, 1296, 883, 1089, 1297, 885, 1090, 1298, 886, 1091,
        1299, 887, 1092, 1300, 888, 1093, 1301, 889, 1215, 1094, 1302, 890, 
       1095, 1303, 891, 1096, 1304, 892, 1097, 1305, 893, 1098, 1306, 894, 
       1099, 1307, 895, 665, 896, 1216, 1003, 897}], 
      Line3DBox[{911, 1009, 685, 910, 1321, 1111, 909, 1320, 1110, 908, 1319, 
       1109, 907, 1318, 1108, 906, 1317, 1107, 905, 1316, 1106, 904, 1315, 
       1314, 1105, 903, 1313, 1104, 902, 1312, 1103, 901, 1311, 1102, 900, 
       1310, 1101, 899, 1309, 1100, 898, 1112, 1308, 1007, 1008}]}}},
   VertexNormals->CompressedData["
1:eJztyEENwCAABLALC0L4zsQ8IIGEN9aRMAUooH22jdVnSfLW5MnJ/rz33nvv
vffee++9995777333nvvvffee++9995777333nvvvffee++9995777333nvv
vffee++9995777333nvvvffee++99957772/4X+Ksx7u
    "]],
  Axes->True,
  AxesLabel->{
    FormBox["\"x\"", TraditionalForm], 
    FormBox["\"y\"", TraditionalForm], 
    FormBox["\"z\"", TraditionalForm]},
  DisplayFunction->Identity,
  FaceGridsStyle->Automatic,
  Method->{},
  PlotRange->{{0., 9.999999285714285}, {0., 9.999999285714285}, {0., 4.}},
  PlotRangePadding->{
    Scaled[0.02], 
    Scaled[0.02], 
    Scaled[0.02]},
  Ticks->{Automatic, Automatic, Automatic}]], "Output",
 CellChangeTimes->{{3.69842499103869*^9, 3.698425007031042*^9}, 
   3.698425183846877*^9, 3.6984252638933067`*^9, 3.698425780840042*^9, 
   3.6984265233848686`*^9, 3.69842731100616*^9, 3.6984273671971197`*^9, 
   3.699087699922842*^9, 3.699200427377925*^9, 3.6992013157963624`*^9, 
   3.6992022594080367`*^9, 3.699202330265636*^9, 3.6992023698394594`*^9, 
   3.6992103688415556`*^9, 3.699812019817108*^9, 3.7014240602914104`*^9, 
   3.70142572999209*^9, 3.7014267077065153`*^9, 3.7014287337546053`*^9, 
   3.701445340800668*^9, 3.701445677471976*^9, 3.701446864233714*^9, 
   3.729931835733795*^9, 3.73002295825604*^9, 3.732296501768641*^9, 
   3.765562855977949*^9},ExpressionUUID->"dfc7471b-9397-4910-b7dc-\
5b4b591cf3c0"]
}, Open  ]],

Cell[CellGroupData[{

Cell[BoxData[
 RowBox[{"Show", "[", 
  RowBox[{"sup1", ",", "c1", ",", "pl1", ",", 
   RowBox[{"ImageSize", "\[Rule]", " ", "Medium"}], ",", 
   RowBox[{"AxesLabel", "\[Rule]", 
    RowBox[{"{", 
     RowBox[{"\"\<x\>\"", ",", "\"\<y\>\"", ",", "\"\<z\>\""}], "}"}]}]}], 
  "]"}]], "Input",
 CellChangeTimes->{{3.698425010344398*^9, 3.6984250151798363`*^9}, {
   3.698425186654873*^9, 3.6984251981450453`*^9}, {3.6984253831711454`*^9, 
   3.6984254113811865`*^9}, {3.698425446326994*^9, 3.69842544763194*^9}, 
   3.6984273434892774`*^9},ExpressionUUID->"6ac17141-8fcf-490c-8b11-\
74b171765d66"],

Cell[BoxData[
 Graphics3DBox[{GraphicsComplex3DBox[CompressedData["
1:eJyNnXm4VlW9gA/zFIPMiibo8VqaoGZapp7jCCe58eQQIqI4pD3hcaKwAsUB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    "], {{
      {RGBColor[0, 1, 0], Opacity[0.5], EdgeForm[None], 
       StyleBox[GraphicsGroup3DBox[
         TagBox[{Polygon3DBox[CompressedData["
1:eJwtmgncF9MXxmd+d+5b2ZdStCNLSUmLEEJkq0QlKZEWRTtKWUL2LUsJWRIh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            "]], Polygon3DBox[CompressedData["
1:eJwtmgf8V9Mbx88999yipT3I6B9FpZSQVUb2JiF7jyRkJolIyIwQIauQlb2z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            "]], Polygon3DBox[CompressedData["
1:eJwt13n8TWUaAPD7u1z7mp0QQhFClK1NlJjMFEoLRlFKVPZ9X0OStWiZQg0p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            "]], Polygon3DBox[{{965, 1131, 685, 812, 1354, 964}}]},
          Annotation[#, "Charting`Private`Tag$2261#1"]& ]],
        Lighting->Automatic]}, {}, {}, {}, {}}, {{}, {}, {}, 
      {GrayLevel[0.2], 
       Line3DBox[{375, 597, 1361, 376, 611, 1372, 403, 626, 418, 1469, 641, 
        433, 1474, 656, 448, 1481, 671, 463, 1491, 686, 1408, 478, 701, 1422, 
        493, 716, 1433, 508, 1505, 731, 523, 1509, 746, 538, 1515, 761, 553, 
        1524, 776, 568, 1535, 791, 583}], 
       Line3DBox[{377, 598, 1362, 378, 612, 1373, 404, 627, 1383, 419, 642, 
        434, 1475, 657, 449, 1482, 672, 464, 1492, 687, 1409, 479, 702, 1423, 
        494, 717, 1434, 509, 732, 1443, 524, 1510, 747, 539, 1516, 762, 554, 
        1525, 777, 569, 1536, 792, 584}], 
       Line3DBox[{379, 599, 1363, 380, 613, 1374, 405, 628, 1384, 420, 643, 
        1392, 435, 658, 450, 1483, 673, 465, 1493, 688, 1410, 480, 703, 1424, 
        495, 718, 1435, 510, 733, 1444, 525, 748, 1451, 540, 1517, 763, 555, 
        1526, 778, 570, 1537, 793, 585}], 
       Line3DBox[{381, 600, 1364, 382, 614, 1375, 406, 629, 1385, 421, 644, 
        1393, 436, 659, 1399, 451, 674, 466, 1494, 689, 1411, 481, 704, 1425, 
        496, 719, 1436, 511, 734, 1445, 526, 749, 1452, 541, 764, 1457, 556, 
        1527, 779, 571, 1538, 794, 586}], 
       Line3DBox[{383, 601, 1365, 385, 615, 1376, 407, 630, 1386, 422, 645, 
        1394, 437, 660, 1400, 452, 675, 1404, 467, 690, 1412, 482, 705, 1426, 
        497, 720, 1437, 512, 735, 1446, 527, 750, 1453, 542, 765, 1458, 557, 
        780, 1461, 572, 1539, 795, 587}], 
       Line3DBox[{387, 603, 1366, 388, 1465, 617, 409, 1467, 632, 424, 1471, 
        647, 439, 1477, 662, 454, 1485, 677, 469, 1496, 692, 1413, 484, 707, 
        499, 1504, 722, 514, 1507, 737, 529, 1512, 752, 544, 1519, 767, 559, 
        1529, 782, 574, 1541, 797, 589}], 
       Line3DBox[{389, 604, 1367, 390, 618, 1377, 410, 1468, 633, 425, 1472, 
        648, 440, 1478, 663, 455, 1486, 678, 470, 1497, 693, 1414, 485, 708, 
        1427, 500, 723, 515, 1508, 738, 530, 1513, 753, 545, 1520, 768, 560, 
        1530, 783, 575, 1542, 798, 590}], 
       Line3DBox[{391, 605, 1368, 392, 619, 1378, 411, 634, 1387, 426, 1473, 
        649, 441, 1479, 664, 456, 1487, 679, 471, 1498, 694, 1415, 486, 709, 
        1428, 501, 724, 1438, 516, 739, 531, 1514, 754, 546, 1521, 769, 561, 
        1531, 784, 576, 1543, 799, 591}], 
       Line3DBox[{393, 606, 1369, 394, 620, 1379, 412, 635, 1388, 427, 650, 
        1395, 442, 1480, 665, 457, 1488, 680, 472, 1499, 695, 1416, 487, 710, 
        1429, 502, 725, 1439, 517, 740, 1447, 532, 755, 547, 1522, 770, 562, 
        1532, 785, 577, 1544, 800, 592}], 
       Line3DBox[{395, 607, 1370, 396, 621, 1380, 413, 636, 1389, 428, 651, 
        1396, 443, 666, 1401, 458, 1489, 681, 473, 1500, 696, 1417, 488, 711, 
        1430, 503, 726, 1440, 518, 741, 1448, 533, 756, 1454, 548, 771, 563, 
        1533, 786, 578, 1545, 801, 593}], 
       Line3DBox[{397, 608, 1371, 398, 622, 1381, 414, 637, 1390, 429, 652, 
        1397, 444, 667, 1402, 459, 682, 1405, 474, 1501, 697, 1418, 489, 712, 
        1431, 504, 727, 1441, 519, 742, 1449, 534, 757, 1455, 549, 772, 1459, 
        564, 787, 579, 1546, 802, 594}], 
       Line3DBox[{399, 805, 1547, 806, 400, 623, 1382, 415, 638, 1391, 430, 
        653, 1398, 445, 668, 1403, 460, 683, 1406, 475, 698, 1419, 1420, 490, 
        713, 1432, 505, 728, 1442, 520, 743, 1450, 535, 758, 1456, 550, 773, 
        1460, 565, 788, 1462, 580, 820, 821, 822}], Line3DBox[CompressedData["
1:eJwNzklKwnEYBuCvAqFdiywbNq66QXM2avOklc2mzZO2ad0NAg8QdICgAwgd
IOgAQQcIOkDQqmfx8L2/95U/piu1fLUpIkpkmyOSLRG3ZLnhmt5ERL8tIeeZ
4YoO/aXbZ/tlXZ7mgqTt3E3pv1mTp+jRn7mntOo/WZXb9JPuCcf8+VPvtm79
ivcEFcr82Bq2Ltuy9zhHlPiydepf7EveGQ454MP2pF+Ux9in3W/33Dfbo21B
HmWXHV71D/p5eYRtijzr7/Rz8jBbbFLXl/Up3531HmKDAve2gi0nD1KjygD/
alwlxA==
        "]], 
       Line3DBox[{582, 790, 819, 1534, 567, 775, 818, 1523, 552, 760, 1555, 
        817, 537, 745, 1554, 816, 522, 730, 1553, 815, 507, 715, 1551, 814, 
        492, 1421, 700, 813, 477, 1407, 685, 812, 1490, 462, 670, 811, 447, 
        655, 1550, 810, 432, 640, 1549, 809, 417, 625, 1548, 808, 402, 610, 
        807, 374, 1360, 596, 803, 804}], 
       Line3DBox[{588, 796, 1540, 573, 781, 1528, 558, 766, 1518, 543, 751, 
        1511, 528, 736, 1506, 513, 721, 1503, 498, 706, 1502, 483, 691, 1495, 
        468, 676, 1484, 453, 661, 1476, 438, 646, 1470, 423, 631, 1466, 408, 
        616, 1464, 386, 602, 1463, 384}]}, 
      {GrayLevel[0.2], 
       Line3DBox[{880, 1241, 1242, 1218, 1232, 595, 1211, 1180, 1360, 1088, 
        881, 1361, 1089, 882, 1362, 1090, 883, 1363, 1091, 884, 1364, 1092, 
        885, 1365, 1271, 1463, 886, 1366, 1093, 887, 1367, 1094, 888, 1368, 
        1095, 889, 1369, 1096, 890, 1370, 1097, 891, 1371, 1098, 892, 1547, 
        1181, 1099, 1182}], 
       Line3DBox[{893, 1250, 1183, 1219, 1233, 1234, 1560, 1212, 1184, 610, 
        894, 1372, 1100, 895, 1373, 1101, 896, 1374, 1102, 897, 1375, 1103, 
        898, 1376, 1272, 1464, 899, 1273, 1465, 900, 1377, 1104, 901, 1378, 
        1105, 902, 1379, 1106, 903, 1380, 1107, 904, 1381, 1108, 905, 1382, 
        1109, 906}], 
       Line3DBox[{907, 1251, 1185, 1220, 1235, 840, 1213, 1186, 1274, 1548, 
        908, 626, 909, 1383, 1110, 910, 1384, 1111, 911, 1385, 1112, 912, 
        1386, 1275, 1466, 913, 1276, 1467, 914, 1277, 1468, 915, 1387, 1113, 
        916, 1388, 1114, 917, 1389, 1115, 918, 1390, 1116, 919, 1391, 1117, 
        920}], Line3DBox[{330, 236, 827, 268, 237, 1549, 921, 1278, 1469, 922,
         642, 923, 1392, 1118, 924, 1393, 1119, 925, 1394, 1279, 1470, 926, 
        1280, 1471, 927, 1281, 1472, 928, 1282, 1473, 929, 1395, 1120, 930, 
        1396, 1121, 931, 1397, 1122, 932, 1398, 1123, 933}], 
       Line3DBox[{947, 1127, 1403, 946, 1126, 1402, 945, 1125, 1401, 944, 
        1480, 1289, 943, 1479, 1288, 942, 1478, 1287, 941, 1477, 1286, 940, 
        1476, 1285, 1400, 939, 1124, 1399, 938, 658, 937, 1475, 1284, 936, 
        1474, 1283, 935, 1550, 1190, 1189, 934, 858, 1188, 1221, 1187, 1264, 
        1252}], Line3DBox[{961, 1129, 1406, 960, 1128, 1405, 959, 1489, 1298, 
        958, 1488, 1297, 957, 1487, 1296, 956, 1486, 1295, 955, 1485, 1294, 
        954, 1484, 1293, 1404, 953, 674, 952, 1483, 1292, 951, 1482, 1291, 
        950, 1481, 1290, 949, 811, 1191, 948, 1556, 311, 1222, 364, 1253}], 
       Line3DBox[{963, 1255, 1256, 1224, 1236, 1559, 1130, 1214, 1193, 1407, 
        1131, 965, 1408, 1132, 967, 1409, 1133, 969, 1410, 1134, 971, 1411, 
        1135, 973, 1412, 691, 975, 1413, 1136, 977, 1414, 1137, 979, 1415, 
        1138, 981, 1416, 1139, 983, 1417, 1140, 985, 1418, 1141, 987, 1420, 
        1143, 989}], 
       Line3DBox[{988, 1142, 1419, 986, 1501, 1308, 984, 1500, 1307, 982, 
        1499, 1306, 980, 1498, 1305, 978, 1497, 1304, 976, 1496, 1303, 974, 
        1495, 690, 972, 1494, 1302, 970, 1493, 1301, 968, 1492, 1300, 966, 
        1491, 1299, 964, 1354, 1490, 1192, 962, 861, 1243, 1223, 1266, 1265, 
        1254}], Line3DBox[{990, 1257, 1258, 1225, 1237, 1309, 1561, 1215, 
        1194, 1421, 1144, 991, 1422, 1145, 992, 1423, 1146, 993, 1424, 1147, 
        994, 1425, 1148, 995, 1426, 1310, 1502, 996, 707, 997, 1427, 1149, 
        998, 1428, 1150, 999, 1429, 1151, 1000, 1430, 1152, 1001, 1431, 1153, 
        1002, 1432, 1154, 1003}], 
       Line3DBox[{1004, 1259, 1195, 1226, 1238, 1239, 1562, 1216, 1196, 1311, 
        1551, 1005, 1433, 1155, 1006, 1434, 1156, 1007, 1435, 1157, 1008, 
        1436, 1158, 1009, 1437, 1312, 1503, 1010, 1313, 1504, 1011, 723, 1012,
         1438, 1159, 1013, 1439, 1160, 1014, 1440, 1161, 1015, 1441, 1162, 
        1016, 1442, 1163, 1017}], 
       Line3DBox[{1018, 1260, 1197, 1227, 1240, 1552, 1357, 1217, 1198, 1314, 
        1553, 1019, 1315, 1505, 1020, 1443, 1164, 1021, 1444, 1165, 1022, 
        1445, 1166, 1023, 1446, 1316, 1506, 1024, 1317, 1507, 1025, 1318, 
        1508, 1026, 739, 1027, 1447, 1167, 1028, 1448, 1168, 1029, 1449, 1169,
         1030, 1450, 1170, 1031}], 
       Line3DBox[{1045, 1175, 1456, 1044, 1174, 1455, 1043, 1173, 1454, 1042, 
        755, 1041, 1514, 1324, 1040, 1513, 1323, 1039, 1512, 1322, 1038, 1511,
         1321, 1453, 1037, 1172, 1452, 1036, 1171, 1451, 1035, 1510, 1320, 
        1034, 1509, 1319, 1033, 1554, 1202, 1201, 1032, 1358, 1563, 1200, 
        1228, 1199, 1267, 1261}], 
       Line3DBox[{1059, 1178, 1460, 1058, 1177, 1459, 1057, 771, 1056, 1522, 
        1332, 1055, 1521, 1331, 1054, 1520, 1330, 1053, 1519, 1329, 1052, 
        1518, 1328, 1458, 1051, 1176, 1457, 1050, 1517, 1327, 1049, 1516, 
        1326, 1048, 1515, 1325, 1047, 1555, 1206, 1205, 1046, 1557, 1244, 
        1204, 1229, 1203, 1268, 1262}], 
       Line3DBox[{1073, 1179, 1462, 1072, 787, 1071, 1533, 1342, 1070, 1532, 
        1341, 1069, 1531, 1340, 1068, 1530, 1339, 1067, 1529, 1338, 1066, 
        1528, 1337, 1461, 1065, 1527, 1336, 1064, 1526, 1335, 1063, 1525, 
        1334, 1062, 1524, 1333, 1061, 1355, 1523, 1207, 1060, 1558, 1245, 
        1246, 1230, 1270, 1269, 1263}], 
       Line3DBox[{1087, 1210, 820, 1086, 1546, 1353, 1085, 1545, 1352, 1084, 
        1544, 1351, 1083, 1543, 1350, 1082, 1542, 1349, 1081, 1541, 1348, 
        1080, 1540, 1539, 1347, 1079, 1538, 1346, 1078, 1537, 1345, 1077, 
        1536, 1344, 1076, 1535, 1343, 1075, 1356, 1534, 1208, 1074, 1359, 
        1564, 1249, 1231, 1248, 1247, 1209}]}}},
    VertexNormals->CompressedData["
1:eJztnHk41lkbxy2VFlMapbSQpVDMlEoL060ZSWghzSiUEu1ZSlJU2ocobaMm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     "]], {{}, {}, 
    TagBox[
     {RGBColor[0, 0, 0], Thickness[0.02], Line3DBox[CompressedData["
1:eJxF0GtMk2cYBuB25TSo0HKSk/SEHGphdAGiyPY9Mje0gBFGO1d00E8oC+Mw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       "]]},
     Annotation[#, "Charting`Private`Tag$2418#1"]& ]}, 
   GraphicsComplex3DBox[CompressedData["
1:eJyNnHuM3FUVgGfb7naLPFu7LRR5tEOIPAoh0GAEtkoLDsVUQCyyFBAFTHQQ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    "], {{
      {RGBColor[1, 0, 1], Opacity[0.5], EdgeForm[None], 
       StyleBox[GraphicsGroup3DBox[
         TagBox[{Polygon3DBox[CompressedData["
1:eJwtmXfgV9Mbx++553zsEJKQJGRVUtJPGaGhkC0lKQ0kSWRklKZRSZlFhbJn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            "]], Polygon3DBox[CompressedData["
1:eJxNmnncVVMbhvdeayWKDM1zUVSGzGROISoSkVAkUiikkilUKpW5kJAGY4NI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            "]], Polygon3DBox[CompressedData["
1:eJwt13f8luMaAPD3977vL5qi1KGt4TSdNNA8DQkNDeW0HC2rgYaOljSEEi0h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            "]]},
          Annotation[#, "Charting`Private`Tag$2437#1"]& ]],
        Lighting->Automatic]}, {}, {}, {}, {}}, {{}, {}, {}, 
      {GrayLevel[0.2], 
       Line3DBox[{251, 474, 1113, 252, 488, 280, 1222, 503, 295, 1227, 518, 
        310, 1234, 533, 325, 1243, 548, 340, 1254, 563, 1161, 355, 578, 1175, 
        370, 1269, 593, 385, 1273, 608, 400, 1279, 623, 415, 1287, 638, 430, 
        1297, 653, 445, 1309, 668, 460}], 
       Line3DBox[{253, 475, 1114, 254, 489, 1125, 281, 504, 296, 1228, 519, 
        311, 1235, 534, 326, 1244, 549, 341, 1255, 564, 1162, 356, 579, 1176, 
        371, 594, 1187, 386, 1274, 609, 401, 1280, 624, 416, 1288, 639, 431, 
        1298, 654, 446, 1310, 669, 461}], 
       Line3DBox[{255, 476, 1115, 256, 490, 1126, 282, 505, 1136, 297, 520, 
        312, 1236, 535, 327, 1245, 550, 342, 1256, 565, 1163, 357, 580, 1177, 
        372, 595, 1188, 387, 610, 1197, 402, 1281, 625, 417, 1289, 640, 432, 
        1299, 655, 447, 1311, 670, 462}], 
       Line3DBox[{257, 477, 1116, 258, 491, 1127, 283, 506, 1137, 298, 521, 
        1145, 313, 536, 328, 1246, 551, 343, 1257, 566, 1164, 358, 581, 1178, 
        373, 596, 1189, 388, 611, 1198, 403, 626, 1205, 418, 1290, 641, 433, 
        1300, 656, 448, 1312, 671, 463}], 
       Line3DBox[{259, 478, 1117, 260, 492, 1128, 284, 507, 1138, 299, 522, 
        1146, 314, 537, 1152, 329, 552, 344, 1258, 567, 1165, 359, 582, 1179, 
        374, 597, 1190, 389, 612, 1199, 404, 627, 1206, 419, 642, 1211, 434, 
        1301, 657, 449, 1313, 672, 464}], 
       Line3DBox[{261, 479, 1118, 263, 493, 1129, 285, 508, 1139, 300, 523, 
        1147, 315, 538, 1153, 330, 553, 1157, 345, 568, 1166, 360, 583, 1180, 
        375, 598, 1191, 390, 613, 1200, 405, 628, 1207, 420, 643, 1212, 435, 
        658, 1215, 450, 1314, 673, 465}], 
       Line3DBox[{265, 481, 1119, 266, 1220, 495, 287, 1224, 510, 302, 1230, 
        525, 317, 1238, 540, 332, 1248, 555, 347, 1260, 570, 1167, 362, 585, 
        377, 1271, 600, 392, 1276, 615, 407, 1283, 630, 422, 1292, 645, 437, 
        1303, 660, 452, 1316, 675, 467}], 
       Line3DBox[{267, 482, 1120, 268, 496, 1130, 288, 1225, 511, 303, 1231, 
        526, 318, 1239, 541, 333, 1249, 556, 348, 1261, 571, 1168, 363, 586, 
        1181, 378, 601, 393, 1277, 616, 408, 1284, 631, 423, 1293, 646, 438, 
        1304, 661, 453, 1317, 676, 468}], 
       Line3DBox[{269, 483, 1121, 270, 497, 1131, 289, 512, 1140, 304, 1232, 
        527, 319, 1240, 542, 334, 1250, 557, 349, 1262, 572, 1169, 364, 587, 
        1182, 379, 602, 1192, 394, 617, 409, 1285, 632, 424, 1294, 647, 439, 
        1305, 662, 454, 1318, 677, 469}], 
       Line3DBox[{271, 484, 1122, 272, 498, 1132, 290, 513, 1141, 305, 528, 
        1148, 320, 1241, 543, 335, 1251, 558, 350, 1263, 573, 1170, 365, 588, 
        1183, 380, 603, 1193, 395, 618, 1201, 410, 633, 425, 1295, 648, 440, 
        1306, 663, 455, 1319, 678, 470}], 
       Line3DBox[{273, 485, 1123, 274, 499, 1133, 291, 514, 1142, 306, 529, 
        1149, 321, 544, 1154, 336, 1252, 559, 351, 1264, 574, 1171, 366, 589, 
        1184, 381, 604, 1194, 396, 619, 1202, 411, 634, 1208, 426, 649, 441, 
        1307, 664, 456, 1320, 679, 471}], 
       Line3DBox[{275, 486, 1124, 276, 500, 1134, 292, 515, 1143, 307, 530, 
        1150, 322, 545, 1155, 337, 560, 1158, 352, 1265, 575, 1172, 367, 590, 
        1185, 382, 605, 1195, 397, 620, 1203, 412, 635, 1209, 427, 650, 1213, 
        442, 665, 457, 1321, 680, 472}], 
       Line3DBox[{277, 682, 1322, 683, 278, 501, 1135, 293, 516, 1144, 308, 
        531, 1151, 323, 546, 1156, 338, 561, 1159, 353, 576, 1173, 1174, 368, 
        591, 1186, 383, 606, 1196, 398, 621, 1204, 413, 636, 1210, 428, 651, 
        1214, 443, 666, 1216, 458, 685, 686, 687}], 
       Line3DBox[{459, 667, 684, 1308, 444, 652, 1296, 429, 637, 1286, 414, 
        622, 1278, 399, 607, 1272, 384, 592, 1268, 369, 577, 1266, 354, 1160, 
        562, 1253, 339, 547, 1242, 324, 532, 1233, 309, 517, 1226, 294, 502, 
        1221, 279, 487, 1218, 250, 473, 681, 688}], 
       Line3DBox[{466, 674, 1315, 451, 659, 1302, 436, 644, 1291, 421, 629, 
        1282, 406, 614, 1275, 391, 599, 1270, 376, 584, 1267, 361, 569, 1259, 
        346, 554, 1247, 331, 539, 1237, 316, 524, 1229, 301, 509, 1223, 286, 
        494, 1219, 264, 480, 1217, 262}]}, 
      {GrayLevel[0.2], 
       Line3DBox[{690, 1004, 473, 689, 1113, 912, 691, 1114, 913, 692, 1115, 
        914, 693, 1116, 915, 694, 1117, 916, 695, 1118, 1010, 1217, 696, 1119,
         917, 697, 1120, 918, 698, 1121, 919, 699, 1122, 920, 700, 1123, 921, 
        701, 1124, 922, 702, 1322, 1005, 923, 1006}], 
       Line3DBox[{704, 1011, 1218, 703, 488, 705, 1125, 924, 706, 1126, 925, 
        707, 1127, 926, 708, 1128, 927, 709, 1129, 1012, 1219, 710, 1013, 
        1220, 711, 1130, 928, 712, 1131, 929, 713, 1132, 930, 714, 1133, 931, 
        715, 1134, 932, 716, 1135, 933, 717}], 
       Line3DBox[{719, 1014, 1221, 718, 1015, 1222, 720, 504, 721, 1136, 934, 
        722, 1137, 935, 723, 1138, 936, 724, 1139, 1016, 1223, 725, 1017, 
        1224, 726, 1018, 1225, 727, 1140, 937, 728, 1141, 938, 729, 1142, 939,
         730, 1143, 940, 731, 1144, 941, 732}], 
       Line3DBox[{734, 1019, 1226, 733, 1020, 1227, 735, 1021, 1228, 736, 520,
         737, 1145, 942, 738, 1146, 943, 739, 1147, 1022, 1229, 740, 1023, 
        1230, 741, 1024, 1231, 742, 1025, 1232, 743, 1148, 944, 744, 1149, 
        945, 745, 1150, 946, 746, 1151, 947, 747}], 
       Line3DBox[{749, 1026, 1233, 748, 1027, 1234, 750, 1028, 1235, 751, 
        1029, 1236, 752, 536, 753, 1152, 948, 754, 1153, 1030, 1237, 755, 
        1031, 1238, 756, 1032, 1239, 757, 1033, 1240, 758, 1034, 1241, 759, 
        1154, 949, 760, 1155, 950, 761, 1156, 951, 762}], 
       Line3DBox[{764, 1035, 1242, 763, 1036, 1243, 765, 1037, 1244, 766, 
        1038, 1245, 767, 1039, 1246, 768, 552, 769, 1157, 1040, 1247, 770, 
        1041, 1248, 771, 1042, 1249, 772, 1043, 1250, 773, 1044, 1251, 774, 
        1045, 1252, 775, 1158, 952, 776, 1159, 953, 777}], 
       Line3DBox[{781, 1160, 954, 779, 1161, 955, 783, 1162, 956, 785, 1163, 
        957, 787, 1164, 958, 789, 1165, 959, 791, 1166, 569, 793, 1167, 960, 
        795, 1168, 961, 797, 1169, 962, 799, 1170, 963, 801, 1171, 964, 803, 
        1172, 965, 805, 1174, 967, 807}], 
       Line3DBox[{806, 966, 1173, 804, 1265, 1057, 802, 1264, 1056, 800, 1263,
         1055, 798, 1262, 1054, 796, 1261, 1053, 794, 1260, 1052, 792, 1259, 
        568, 790, 1258, 1051, 788, 1257, 1050, 786, 1256, 1049, 784, 1255, 
        1048, 782, 1254, 1047, 778, 1253, 1046, 780}], 
       Line3DBox[{809, 1058, 1266, 808, 1175, 968, 810, 1176, 969, 811, 1177, 
        970, 812, 1178, 971, 813, 1179, 972, 814, 1180, 1059, 1267, 815, 585, 
        816, 1181, 973, 817, 1182, 974, 818, 1183, 975, 819, 1184, 976, 820, 
        1185, 977, 821, 1186, 978, 822}], 
       Line3DBox[{824, 1060, 1268, 823, 1061, 1269, 825, 1187, 979, 826, 1188,
         980, 827, 1189, 981, 828, 1190, 982, 829, 1191, 1062, 1270, 830, 
        1063, 1271, 831, 601, 832, 1192, 983, 833, 1193, 984, 834, 1194, 985, 
        835, 1195, 986, 836, 1196, 987, 837}], 
       Line3DBox[{839, 1064, 1272, 838, 1065, 1273, 840, 1066, 1274, 841, 
        1197, 988, 842, 1198, 989, 843, 1199, 990, 844, 1200, 1067, 1275, 845,
         1068, 1276, 846, 1069, 1277, 847, 617, 848, 1201, 991, 849, 1202, 
        992, 850, 1203, 993, 851, 1204, 994, 852}], 
       Line3DBox[{854, 1070, 1278, 853, 1071, 1279, 855, 1072, 1280, 856, 
        1073, 1281, 857, 1205, 995, 858, 1206, 996, 859, 1207, 1074, 1282, 
        860, 1075, 1283, 861, 1076, 1284, 862, 1077, 1285, 863, 633, 864, 
        1208, 997, 865, 1209, 998, 866, 1210, 999, 867}], 
       Line3DBox[{869, 1078, 1286, 868, 1079, 1287, 870, 1080, 1288, 871, 
        1081, 1289, 872, 1082, 1290, 873, 1211, 1000, 874, 1212, 1083, 1291, 
        875, 1084, 1292, 876, 1085, 1293, 877, 1086, 1294, 878, 1087, 1295, 
        879, 649, 880, 1213, 1001, 881, 1214, 1002, 882}], 
       Line3DBox[{884, 1088, 1296, 883, 1089, 1297, 885, 1090, 1298, 886, 
        1091, 1299, 887, 1092, 1300, 888, 1093, 1301, 889, 1215, 1094, 1302, 
        890, 1095, 1303, 891, 1096, 1304, 892, 1097, 1305, 893, 1098, 1306, 
        894, 1099, 1307, 895, 665, 896, 1216, 1003, 897}], 
       Line3DBox[{911, 1009, 685, 910, 1321, 1111, 909, 1320, 1110, 908, 1319,
         1109, 907, 1318, 1108, 906, 1317, 1107, 905, 1316, 1106, 904, 1315, 
        1314, 1105, 903, 1313, 1104, 902, 1312, 1103, 901, 1311, 1102, 900, 
        1310, 1101, 899, 1309, 1100, 898, 1112, 1308, 1007, 1008}]}}},
    VertexNormals->CompressedData["
1:eJztyEENwCAABLALC0L4zsQ8IIGEN9aRMAUooH22jdVnSfLW5MnJ/rz33nvv
vffee++9995777333nvvvffee++9995777333nvvvffee++9995777333nvv
vffee++9995777333nvvvffee++99957772/4X+Ksx7u
     "]]},
  Axes->True,
  AxesLabel->{
    FormBox["\"x\"", TraditionalForm], 
    FormBox["\"y\"", TraditionalForm], 
    FormBox["\"z\"", TraditionalForm]},
  DisplayFunction->Identity,
  FaceGridsStyle->Automatic,
  ImageSize->Medium,
  Method->{},
  PlotRange->{{0., 9.999999285714285}, {0., 6.324555094459779}, {0., 
   9.999999285714285}},
  PlotRangePadding->{
    Scaled[0.02], 
    Scaled[0.02], 
    Scaled[0.02]},
  Ticks->{Automatic, Automatic, Automatic}]], "Output",
 CellChangeTimes->{
  3.698425016032443*^9, {3.6984250955309763`*^9, 3.6984251166950254`*^9}, {
   3.698425191664442*^9, 3.69842519894161*^9}, 3.698425231774469*^9, 
   3.6984252662229986`*^9, {3.698425363685271*^9, 3.698425378951151*^9}, 
   3.6984254120036306`*^9, 3.6984254481483*^9, 3.6984257809111304`*^9, 
   3.6984273110351806`*^9, 3.698427367223154*^9, 3.6990876999668736`*^9, 
   3.6992004275070157`*^9, 3.699201315837392*^9, 3.6992022594420643`*^9, 
   3.699202330297659*^9, 3.6992023698724966`*^9, 3.6992103688675947`*^9, 
   3.6998120201758685`*^9, 3.701424060328416*^9, 3.7014257300421257`*^9, 
   3.7014267077535486`*^9, 3.7014287337886353`*^9, 3.7014453408867283`*^9, 
   3.701445677519004*^9, 3.701446864282748*^9, 3.729931835777484*^9, 
   3.730022958299741*^9, 3.7322965018185387`*^9, 
   3.765562856041136*^9},ImageCache->GraphicsData["CompressedBitmap", "\<\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\
\>"],ExpressionUUID->"5d2c3169-a995-454a-8dcc-59b11acd1b66"]
}, Open  ]]
}, Open  ]],

Cell[CellGroupData[{

Cell["Inciso b): y = 3", "Subsection",
 CellChangeTimes->{{3.6984254562250338`*^9, 3.698425468488755*^9}}],

Cell[CellGroupData[{

Cell[BoxData[
 RowBox[{"c2", "=", 
  RowBox[{"ParametricPlot3D", "[", 
   RowBox[{
    RowBox[{"{", 
     RowBox[{"t", ",", "3", ",", 
      RowBox[{"2", "-", 
       RowBox[{
        FractionBox["2", "3"], "*", "t"}]}]}], "}"}], ",", 
    RowBox[{"{", 
     RowBox[{"t", ",", "0", ",", "10"}], "}"}], ",", 
    RowBox[{"PlotStyle", "\[Rule]", 
     RowBox[{"{", 
      RowBox[{
       RowBox[{"Thickness", "[", "0.02", "]"}], ",", 
       RowBox[{"RGBColor", "[", 
        RowBox[{"0", ",", "0", ",", "0"}], "]"}]}], "}"}]}], ",", 
    RowBox[{"AxesLabel", "\[Rule]", 
     RowBox[{"{", 
      RowBox[{"\"\<x\>\"", ",", "\"\<y\>\"", ",", "\"\<z\>\""}], "}"}]}]}], 
   "]"}]}]], "Input",
 CellChangeTimes->{{3.6984254794745836`*^9, 3.6984254798218307`*^9}, {
   3.698425541521804*^9, 3.6984255606874137`*^9}, {3.698425652258604*^9, 
   3.698425652970112*^9}, 
   3.698427340360035*^9},ExpressionUUID->"26cca83f-2eb1-412a-ab06-\
9afe01468d7c"],

Cell[BoxData[
 Graphics3DBox[{{}, {}, 
   TagBox[
    {RGBColor[0, 0, 0], Thickness[0.02], Line3DBox[CompressedData["
1:eJxF0H1Q02UAB/CNzTm28bK5ChkvG3FMJohYcOhRzyokXtSIwBBKZCCcAlNU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      "]]},
    Annotation[#, "Charting`Private`Tag$2463#1"]& ]},
  Axes->True,
  AxesLabel->{
    FormBox["\"x\"", TraditionalForm], 
    FormBox["\"y\"", TraditionalForm], 
    FormBox["\"z\"", TraditionalForm]},
  DisplayFunction->Identity,
  FaceGridsStyle->Automatic,
  ImageSize->{356.8330062705237, 321.9778539121585},
  Method->{},
  PlotRange->{{0., 9.999999795918367}, {0., 6.}, {-4.666666530612244, 
   1.9999998639455783`}},
  PlotRangePadding->{
    Scaled[0.02], 
    Scaled[0.02], 
    Scaled[0.02]},
  Ticks->{Automatic, Automatic, Automatic},
  ViewPoint->{1.4668149571514024`, -2.5337402094207073`, 1.6966479990385863`},
  ViewVertical->{0.0714435048589444, -0.13726194445458684`, 
   1.4910582202657867`}]], "Output",
 CellChangeTimes->{3.698425675639249*^9, 3.6984257810121727`*^9, 
  3.698427311134251*^9, 3.698427367252172*^9, 3.6990877000039005`*^9, 
  3.6992004275390387`*^9, 3.6992013158744216`*^9, 3.699202259493123*^9, 
  3.699202330332695*^9, 3.699202369907509*^9, 3.6992103688986044`*^9, 
  3.699812020464574*^9, 3.701424060365445*^9, 3.701425730125185*^9, 
  3.7014267078236084`*^9, 3.701428733839696*^9, 3.7014453409928083`*^9, 
  3.7014456775630174`*^9, 3.7014468643298044`*^9, 3.729931835812385*^9, 
  3.730022958345337*^9, 3.732296501849267*^9, 
  3.765562856068718*^9},ExpressionUUID->"dd5030cf-50b3-4de5-84a6-\
c2c2906b2e04"]
}, Open  ]],

Cell[CellGroupData[{

Cell[BoxData[
 RowBox[{"pl2", "=", 
  RowBox[{"ParametricPlot3D", "[", 
   RowBox[{
    RowBox[{"{", 
     RowBox[{"u", ",", "3", ",", "v"}], "}"}], ",", 
    RowBox[{"{", 
     RowBox[{"u", ",", "0", ",", "10"}], "}"}], ",", 
    RowBox[{"{", 
     RowBox[{"v", ",", "0", ",", "10"}], "}"}], ",", 
    RowBox[{"PlotStyle", "\[Rule]", 
     RowBox[{"RGBColor", "[", 
      RowBox[{"1", ",", "0", ",", "1", ",", "0.5"}], "]"}]}], ",", 
    RowBox[{"AxesLabel", "\[Rule]", 
     RowBox[{"{", 
      RowBox[{"\"\<x\>\"", ",", "\"\<y\>\"", ",", "\"\<z\>\""}], "}"}]}]}], 
   "]"}]}]], "Input",
 CellChangeTimes->{{3.698425705634579*^9, 3.6984257132429705`*^9}, {
  3.698426491275465*^9, 
  3.6984265112927003`*^9}},ExpressionUUID->"9e56a4ab-d617-4da2-a779-\
b4e5af5d48ae"],

Cell[BoxData[
 Graphics3DBox[GraphicsComplex3DBox[CompressedData["
1:eJyNnH2wVHUZgJePe7lUKEFcrqKGuI5TGjiNOTalmIq2YkNiZnmj77IZW1Mo
mkzFjzSMmzZLOaYNRlJONo5Zzl6RmpoyG8oULmXOrEYZKaFAKohfcGsu7/Nz
fF7PJP8w55nfPfueZ8++u+c973kP/uQX5n9mdK1We2tXrTbmf///YeZ1/7p1
1y3H1Ub+9RzP9ui7vzl8Xuex2eYPfnLd7PM6zyZ+5o4nl7Tqo443nz341MZm
pzvxt1z47OxG6w2Jf2PF7nmt+hsTHx75NznxL35i9E+bnd7E//2bsR/vtPdL
/KP1cRMbrQMS33Dl+F+3m29OfNUzXce06gcn/rGR/cxIfP8zezYPDx+SuD3j
157Ztme4PcPtGW7PcHuG2zPcnuH2DLdnuD3D7Rluz3B7htszHu0Zbs9s2zPc
nuH2DLdnuD3D7Rluz3B7htsz3J7h9gy3Z7g948ue4fYMt2e27Rluz3B7htsz
3J7h9gy3Z7g9w+0Zbs9we4bbM17sGW7PcHuG2zPb9gy3Z7g9w+0Zbs9we4bb
M9ye4fYMt2e4PXP89gy3Z7g9w+0Zbs9s2zPcnuH2DLdnuD3D7Rluz3B7htsz
3J45TnuG2zPcnuH2DLdnuD2zbc9we4bbM9ye4fYMt2e4PcPtGW7PHI89w+0Z
bs9we4bbM9ye4fbMtj3D7Rluz3B7htsz3J7h9gy3Z+K2Z7g9w+0Zbs9we4bb
M9ye4fbMtj3D7Rluz3B7htsz3J7h9kx89gy3Z7g9w+0Zbs9we4bbM9ye4fbM
tj3D7Rluz3B7htsz3J6Jw57h9gy3Z7g9w+0Zbs9we4bbM9ye4fbMtj3D7Rlu
z3B7htszr2fPcHuG2zPcnuH2DLdnuD3D7Rluz3B7htsz2/YMt2e4PcPtmf3a
M9ye4fYMt2e4PcPtGW7PcHuG2zPcnuH2DLdntu0Zbs9we+bv7Rluz3B7htsz
3J7h9gy3Z7g9w+0Zbs9we4bbM9ye2bZnuD2zzp7h9gy3Z7g9w+0Zbs9we4bb
M9ye4fYMt2e4PcPtGW7PbPd/rmfJ+Z0Hize27R/+i1+Mu6jeeHk/cO8f7v3z
994/3Puv4lXxs1+vh3t9lR/+fp/f7b54Uefesp7tJ3p63t5a9fJ6uNezzuvZ
toeq/bPO+6+Kn7/3+qr6LescT1X8/P03P7Rs3qjaplS//fio+6+t1Xak1zVn
/YUffPDLtdqetN681D/P3D6rVhub/Jiz/qxLnzmkVhuf1puzftOtu6bWavuk
9easv2vL7q7apbmev6einu/17Mfr4SdNGf3C8JJc/zcvde+3jt0xPNyX1puz
ft3s7m3DS6al9eas7x15/w9M681ZP/MdXU8Nz56e1puzfv3I6+b7Eealbn/q
uCeGfzUjrTdnvc9bvj98fsJ9Hpb6sM43uM8ruM8fuM8HuM8HuN/3UofX+wv3
+wj3+wX3+wK3/1LPl2e4PfN9bM9wey71YXmG2zPcnuH2DLdnuD2XOrw8w+0Z
bs9we4bbc6nnyzPcnvl9Y89wey71YXmG2zPcnuH2DLdnuD2XOrw8w+0Zbs9w
e4bbc6nnyzPcnvm9aM9wey71YXmG2zPcnuH2DLdnuD2XOrw8w+0Zbs9we4bb
c6nnyzPcnvn9bc9wey71YXmG2zPcnuH2DLdnuD2XOrw8w+0Zbs9we4bbc6nn
yzPcnrmesWe4PZf6sDzD7Rluz3B7htsz3J5LHV6e4fYMt2e4PcPtGW7PcHvm
+tCe4fZc6sPyDLdnuD3D7Rluz3B7LnV4eYbbM9ye4fYMt+dSz5dnuD1zvW3P
cHsu9WF5htsz3J7h9gy3Z7g9lzq8PMPtGW7PcHuG23Op58sz3J6pX9gz3J5L
fVie4fYMt2e4PcPtGW7PpQ4vz3B7htsz3J7h9lzq+fIMt2fqQfYMt+dSH5Zn
uD3D7Rluz3B7httzqcPLM9ye4fYMt2e4PZd6vjzD7Zn6mj3D7bnUh+UZbs9w
e4bbM9ye4fZc6vDyDLdnuD3D7Rluz6WeL89we6Zeac9wey71YXmG2zPcnuH2
DLdnuD2XOrw8w+0Zbs9we4bbc6nnyzPcnqnX2TPcnuH2DLdnuD3D7Rluz3B7
LnV4eYbbM9ye4fYMt+eqOifb9tm7a+lNy+v/SPWiOYdP2Di39XCqF30k6tHp
99sPx7z5O/X1qV40Oeq09nnaJZu/+pVOO9WLXlj96vXDyyN++xwf8dtnPeK3
z6Mifvs8KeK3z5vu2Ru/fR7w9gfOGWzuTD7Zts8frbtvsNF6Ovl88qY/bmzV
n0o+P/W3b+97V3N78rntotbHTm09mXwunPat2x9u/zv5HKqov/VG/PZ5dsRv
nysifvt8NOK3z7kRv32ui/idB06P+O35uf4nJw82aykPHPX1v84bbA4nz2zb
868P/ctNjdZLyXP3zg2/b9VfTJ5Pu2doe6f9fPJ8zfL1Uw9tPJc8n1FRf9sZ
8dvzzIjfnhdG/Pbcjvjt+YUde+O352Mjfnu+JOK350cPempRq57rb1+76j/j
BptdKd8etm37jZ322JRv2bbn5i+3/bbeGJPy7cRDt53VaI1O+faOga1PNDu5
znlsRf1tY8Rvz5dF/PZ8SMRvz7+L+O35nIjfnnsifnv+ccRvz/f9Y+eGZuf1
yfN5jZ3ntOqvT57feMeOF9vN1yXPd/btuLbTHp88s23PLzz+9GC90ZM83zjv
6bmN1rjk+bCK+tvaiN+ez4347XlCxG/Pt0f89nx6xG/PT0f89rw84rfn/vm7
v1tfOzF5PqJ79z/bzYnJ857VL72tMWli8ryi89z2dnPf5Pk9Jz53Rae9T/LM
tj1fOWnXT+qNCcnz1RX1t7Mjfns+POK355cifnu+IeK353dF/Pb8SMRvzxdH
/Pa87ufDjdaqXH/7wTnDy+uNXH9bNG34kfbWScnzSQ/sOazRmpQ8916x54LO
0ZOS58eP3rOm2cl1TrbtmW17fiDit+fvR/z2fEHEb88nRPz2PDnit+dNEb89
3xnx2/OciNuep64ddVKrnutvmy8adU197ZTk+e4jRz3Ubk5Jnpdtqs1oTJqS
PH/k+trnO+03Jc9vO63Wbva/KXleVFF/Y9uep0T89vxYxG/PgxG/PS+N+O35
wxF/qttH/PZ89+Kxtzb7c/1tIOK25wV/G3Nca1Vf8jyzNWZpvdGXPNdOHjPU
3jo1eV7//OgDGq2pyfMPbhv92c7RU5PnzRX1t9URf6rbx7Y990f89nxExG/P
u+fsjd+e74/47XlFxG/Psx7qPrtzdK6/jRroXtXsTEuehyLuV69XTEuev3RL
1+X1tfsnzyf3d93Xbu6fPE/dt6u3MWn/5HlBRf1tZsSf6vbL9sZvz2zb88qI
354XRvz2fGLEb8+TI/5UF3rn+Nc1JuX62+KtPR/otA9Knk9Z2bOi2X9Q8twX
cdvzlpE+mwOT5zUj/UgHJs8D54+7t7011zmHKupvN0f8qW4f8dvznIjfntm2
58cjfnu+K+K356URf7q+/lPXgs6z05Pnvefh9FxPvqzrluaN05PnU0be3+nJ
85ERtz33jbzv05PnUUPjF9fX5jpnVf1tIOJPniN+e14Q8dvzyRG/PbNtz70R
vz3vXr83fnt+757ud7Q+netvR458HnP9bb+fdS+pj8/1t9EjeSbXObd8pntt
+7Zc59wQcdvzmv26Jzfm5zrnRyvqb6dE/PY8K+K3576I355rEX+6PxLx2zPb
9rw64k99cbN6JjSGcv2Nvjp7/vOj487qLM71N/oS7fmH141b2ZyW62/XjHy+
cp1zccT9WutvxG/PWyL+VLeP+O15TcSf6skRvz0PRPzp/mnUu+z/jItfnd8R
f+/94CHdT6zgXeHBvKpOWDVngHXut4S7nxnufma4+5nh7meGu58ZPqzzAe5+
Zrj7meHuZ4a7nxnufma4+5nh9snnyj7h9gm3T7h9wu0Tbp9w+4TbJ9w+4fYJ
t0+4fcLtE+5+YLg9l3qgPMPtGW7PcHuG2zPcnuH2DLdnuD3D7Rluz3B7htsz
3J7haQ5J5P00tyR4mk8SPM0nCZ7mkwRP80mCp/kkwe0ZnuaTBE/zSYKn+STB
03yS4Gk+SfA0nyR4mk8S3J75HrVnuD3D7Rluz3B7htsz3J7h9gy3Z7g9w+0Z
bs9we4bbM9ye+V1iz3B7htsz3J7h9gy3Z7g9w+0Zbs9we4bbM9ye4fYMt2e4
PfM7z5zfefbPenPW+31hvTnr/X6x3pz1fh9Zb856v7+sN2e933fWm7Pe5wPr
zVnv84T15qz3+cN6c9b7vGK9Oet9vrHenPU+D1lvznqfn6w3Z73PW9abs97n
LdchPj/hPg/hPt/gPq/gPn9KfVXnCdznA9zvO9zvL9zvI9zvF9zvC9z+4fYM
T3NI4rouzS0JnuaTBE/zSYKn+STB03yS4Gk+SXB7hqf5JMHTfJLgaT5J8DSf
JHiaTxI8zScJnuaTBLdnrpPtGW7PcHuG2zPcnuH2DLdnuD3D7Rluz3B7htsz
3J7h9gy3Z+oO9gy3Z7g9w+0Zbs9we4bbM9ye4fYMt2e4PcPtGW7PcHuG2zN1
HHuG2zPcnuH2DLdnuD3D7Rluz3B7htsz3J7h9gy3Z7g9w+2Zupg9w+0Zbs9w
e4bbM9ye4fZc6qLyDLdnuD3D7Rluz3B7htszPM0virpeml8UPM0vCp7mFwVP
84uCp/lFwe2z1CE9vyh4ml8UPM0vCp7mFwVP84uCp/lFwdP8ouD08cGp19F3
Zk6flDl9Peb0oZjPUb0azv1nc+6XmnN/z5z7UebcPzGnXm5Onx2cOht9Yeb0
MZnTd2M+oPp8ud8Q94HNvxT3/RKP+1Tm3Bcy93wAOH1tcOpd9GGZ0zdkPqT7
C3Dur5pzP9Cc+1fm3G8xpy8MTh2JPibzPt3vgHMf0pz7ZuZpfkVw+qTg1FuO
1P0UOPffzLlfZL5B91+oM3AfyZz+YjjXcUMV9YEzKuoAx1Zc7x9WcV1/dcX1
+6KK6+7NFdfXCyquo4de4/XyK6/TZyS+WPeJ/t/17xTlT67Xdip/wjcqf8LX
Kn/Cz1b+hK9WnoTPVJ6E36w8CR9QnoSfojxZrkOVJ8vrKk9yPXW58iT8XOVJ
+OHKk+W6ctkr82G5rlQ+LFz5ED5L+RC+RfkQPkP5kOuXCcqH8JeUD+FzlPfg
C5T34H3Ke+W6THkPfrvyHr//b1Deg5+s/Fbu+yq/wdcov8HfrfxWfp8rj5Xf
28pj8AHlq/K7NO4bw/le9ucU7s8pnPvMcH7/pDmZwbt0nsPp9/T+p8RzGHC+
T+kDNe+Nvj/zE+O5DTjfazw/YU4/qTn9j+b065mnuUzx/cXzGeY8T2BOH6s5
fZfm9Ama09dmviieU4HzPcjzIuY832BOP745/bbm9Iea089oTv+dOf1i6XU1
94nva553MZ8bzzeY8zyBOf3v5vQRm9P3ak6fpjl9heb0wZnTt2X+fn3e+f7l
+R5znkcx5/kJc/r9za+K/m5z+nzN6Us1p4/SnL4/c/rUzOmrMr9S/Sp8/z6g
vAR/g/IS32sf8lyO4N9XvoJPUb4q9WHlK76Pvqd8BV+ovin4Bcpj8MeUx+D9
ymPwY5TH+J76u/IYvK08Br9XfVzwE5Tf4IPKb/AjlN/gK5Xf4Mcrv/H9+D7l
NzjPP5l/VvkNPk99aPDJynvwpcp78D1zXpn34AuV9+CPKe/Br7/nlXmP7/0h
5T34u5X34D3Ke/BnlPfgD7v/PPgm5UP4h5UP4fcrH8JPVD6E36V8CO9VPoTP
V97jd8jFynvwHyvvwZcr78EvUt6D36n+w1IfUz6Er1A+hE9WPoQvVT6E0/dq
vlr5EH6b+wyDu2+T32nu2yx9ffq8w923CXffJtx9m3D3Z5a+PtV/4O7PhLs/
E+7+TLj7M6s8lH48eYDbA9we4PZQ+u4q6l0+3vI7WccL9/HCfbylf0/XC1XH
ixcfL9zHC/fxwn1ccB8X3McF93GVfjkdV1X8HGeakxk8zcMMnuZGVjwfCk9z
IOk387zHiniI2/HA/bpwv27pv9LrVu2//L6tqKd5P3D3D1MXcv6Bp+cu6fPR
eQj3+wi3N7iPq+q5v9Jvo88j3Oct3OcD3O8L3D5LH05Fnc28yifHY5+l/8TP
Vwa3T7h9wu2z6jk+uL3B7a3UzTyHIbi9lX4V+anyUPpDPE8veJqnFzzN0wue
5ulVPE8HT3Pwgqc5eMHTHDzqeJ6DV3FcxOHjgvu44D6uqufU4I4fnuY80I+h
+Kvi5PUcJ9xxVj3PBU/PGdG3oHiqXpf9+nWrnmMq9+u1/6r9VD2PA/dzLuW+
nvItecHr4c57cO+Hz4/zTLnPpf3Dvf/S9678AE/Pm8R5nOZvB09ztoOnOdXU
3zx3mv5wz5cOnuZIB3ecnK+OE+44S5+2Pqdwxw93/KXvWvHDHX+pp+nzC/dx
cd77uOA+rtIXreOC+3MN9/HCfbyl/1nHC/fxwn28cOeHqt8tfD7tAW4PpQ9Z
HuD2AHeeqZpXALef0g8sP3D7gdsP3H7g6XnYirkExOf44WkubsSd5uIGT/Np
g6f5tMHTPIo4fu8f7vcR7teF+3VLX6L8wx0P3tPcreCOp/QBVtTfHCc8zXei
r09xwn2ewB0/54fjhzv+0l/neQjB/bko9bSK/rf03D19dJ6nFNzHBff5D/fx
ct77eOE+3tLnpuOF+3hLna2i/mYPcHsofW7yALeHUmeTB7jzADw9x1pRX4Kn
OcDcZ/Qc4OBpjlzwNAc4eJoDXPFcMDzNAaafzc+5c39T3uBpDnDwNAc4eJoD
XPF8Ln7/C2zDODs=
   "], {{
     {RGBColor[1, 0, 1], Opacity[0.5], EdgeForm[None], 
      StyleBox[GraphicsGroup3DBox[
        TagBox[{Polygon3DBox[CompressedData["
1:eJwtmXfgV9Mbx++553zsEJKQJGRVUtJPGaGhkC0lKQ0kSWRklKZRSZlFhbJn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           "]], Polygon3DBox[CompressedData["
1:eJxNmnncVVMbhvdeayWKDM1zUVSGzGROISoSkVAkUiikkilUKpW5kJAGY4NI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           "]], Polygon3DBox[CompressedData["
1:eJwt13f8luMaAPD3977vL5qi1KGt4TSdNNA8DQkNDeW0HC2rgYaOljSEEi0h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           "]]},
         Annotation[#, "Charting`Private`Tag$2482#1"]& ]],
       Lighting->Automatic]}, {}, {}, {}, {}}, {{}, {}, {}, 
     {GrayLevel[0.2], 
      Line3DBox[{251, 474, 1113, 252, 488, 280, 1222, 503, 295, 1227, 518, 
       310, 1234, 533, 325, 1243, 548, 340, 1254, 563, 1161, 355, 578, 1175, 
       370, 1269, 593, 385, 1273, 608, 400, 1279, 623, 415, 1287, 638, 430, 
       1297, 653, 445, 1309, 668, 460}], 
      Line3DBox[{253, 475, 1114, 254, 489, 1125, 281, 504, 296, 1228, 519, 
       311, 1235, 534, 326, 1244, 549, 341, 1255, 564, 1162, 356, 579, 1176, 
       371, 594, 1187, 386, 1274, 609, 401, 1280, 624, 416, 1288, 639, 431, 
       1298, 654, 446, 1310, 669, 461}], 
      Line3DBox[{255, 476, 1115, 256, 490, 1126, 282, 505, 1136, 297, 520, 
       312, 1236, 535, 327, 1245, 550, 342, 1256, 565, 1163, 357, 580, 1177, 
       372, 595, 1188, 387, 610, 1197, 402, 1281, 625, 417, 1289, 640, 432, 
       1299, 655, 447, 1311, 670, 462}], 
      Line3DBox[{257, 477, 1116, 258, 491, 1127, 283, 506, 1137, 298, 521, 
       1145, 313, 536, 328, 1246, 551, 343, 1257, 566, 1164, 358, 581, 1178, 
       373, 596, 1189, 388, 611, 1198, 403, 626, 1205, 418, 1290, 641, 433, 
       1300, 656, 448, 1312, 671, 463}], 
      Line3DBox[{259, 478, 1117, 260, 492, 1128, 284, 507, 1138, 299, 522, 
       1146, 314, 537, 1152, 329, 552, 344, 1258, 567, 1165, 359, 582, 1179, 
       374, 597, 1190, 389, 612, 1199, 404, 627, 1206, 419, 642, 1211, 434, 
       1301, 657, 449, 1313, 672, 464}], 
      Line3DBox[{261, 479, 1118, 263, 493, 1129, 285, 508, 1139, 300, 523, 
       1147, 315, 538, 1153, 330, 553, 1157, 345, 568, 1166, 360, 583, 1180, 
       375, 598, 1191, 390, 613, 1200, 405, 628, 1207, 420, 643, 1212, 435, 
       658, 1215, 450, 1314, 673, 465}], 
      Line3DBox[{265, 481, 1119, 266, 1220, 495, 287, 1224, 510, 302, 1230, 
       525, 317, 1238, 540, 332, 1248, 555, 347, 1260, 570, 1167, 362, 585, 
       377, 1271, 600, 392, 1276, 615, 407, 1283, 630, 422, 1292, 645, 437, 
       1303, 660, 452, 1316, 675, 467}], 
      Line3DBox[{267, 482, 1120, 268, 496, 1130, 288, 1225, 511, 303, 1231, 
       526, 318, 1239, 541, 333, 1249, 556, 348, 1261, 571, 1168, 363, 586, 
       1181, 378, 601, 393, 1277, 616, 408, 1284, 631, 423, 1293, 646, 438, 
       1304, 661, 453, 1317, 676, 468}], 
      Line3DBox[{269, 483, 1121, 270, 497, 1131, 289, 512, 1140, 304, 1232, 
       527, 319, 1240, 542, 334, 1250, 557, 349, 1262, 572, 1169, 364, 587, 
       1182, 379, 602, 1192, 394, 617, 409, 1285, 632, 424, 1294, 647, 439, 
       1305, 662, 454, 1318, 677, 469}], 
      Line3DBox[{271, 484, 1122, 272, 498, 1132, 290, 513, 1141, 305, 528, 
       1148, 320, 1241, 543, 335, 1251, 558, 350, 1263, 573, 1170, 365, 588, 
       1183, 380, 603, 1193, 395, 618, 1201, 410, 633, 425, 1295, 648, 440, 
       1306, 663, 455, 1319, 678, 470}], 
      Line3DBox[{273, 485, 1123, 274, 499, 1133, 291, 514, 1142, 306, 529, 
       1149, 321, 544, 1154, 336, 1252, 559, 351, 1264, 574, 1171, 366, 589, 
       1184, 381, 604, 1194, 396, 619, 1202, 411, 634, 1208, 426, 649, 441, 
       1307, 664, 456, 1320, 679, 471}], 
      Line3DBox[{275, 486, 1124, 276, 500, 1134, 292, 515, 1143, 307, 530, 
       1150, 322, 545, 1155, 337, 560, 1158, 352, 1265, 575, 1172, 367, 590, 
       1185, 382, 605, 1195, 397, 620, 1203, 412, 635, 1209, 427, 650, 1213, 
       442, 665, 457, 1321, 680, 472}], 
      Line3DBox[{277, 682, 1322, 683, 278, 501, 1135, 293, 516, 1144, 308, 
       531, 1151, 323, 546, 1156, 338, 561, 1159, 353, 576, 1173, 1174, 368, 
       591, 1186, 383, 606, 1196, 398, 621, 1204, 413, 636, 1210, 428, 651, 
       1214, 443, 666, 1216, 458, 685, 686, 687}], 
      Line3DBox[{459, 667, 684, 1308, 444, 652, 1296, 429, 637, 1286, 414, 
       622, 1278, 399, 607, 1272, 384, 592, 1268, 369, 577, 1266, 354, 1160, 
       562, 1253, 339, 547, 1242, 324, 532, 1233, 309, 517, 1226, 294, 502, 
       1221, 279, 487, 1218, 250, 473, 681, 688}], 
      Line3DBox[{466, 674, 1315, 451, 659, 1302, 436, 644, 1291, 421, 629, 
       1282, 406, 614, 1275, 391, 599, 1270, 376, 584, 1267, 361, 569, 1259, 
       346, 554, 1247, 331, 539, 1237, 316, 524, 1229, 301, 509, 1223, 286, 
       494, 1219, 264, 480, 1217, 262}]}, 
     {GrayLevel[0.2], 
      Line3DBox[{690, 1004, 473, 689, 1113, 912, 691, 1114, 913, 692, 1115, 
       914, 693, 1116, 915, 694, 1117, 916, 695, 1118, 1010, 1217, 696, 1119, 
       917, 697, 1120, 918, 698, 1121, 919, 699, 1122, 920, 700, 1123, 921, 
       701, 1124, 922, 702, 1322, 1005, 923, 1006}], 
      Line3DBox[{704, 1011, 1218, 703, 488, 705, 1125, 924, 706, 1126, 925, 
       707, 1127, 926, 708, 1128, 927, 709, 1129, 1012, 1219, 710, 1013, 1220,
        711, 1130, 928, 712, 1131, 929, 713, 1132, 930, 714, 1133, 931, 715, 
       1134, 932, 716, 1135, 933, 717}], 
      Line3DBox[{719, 1014, 1221, 718, 1015, 1222, 720, 504, 721, 1136, 934, 
       722, 1137, 935, 723, 1138, 936, 724, 1139, 1016, 1223, 725, 1017, 1224,
        726, 1018, 1225, 727, 1140, 937, 728, 1141, 938, 729, 1142, 939, 730, 
       1143, 940, 731, 1144, 941, 732}], 
      Line3DBox[{734, 1019, 1226, 733, 1020, 1227, 735, 1021, 1228, 736, 520, 
       737, 1145, 942, 738, 1146, 943, 739, 1147, 1022, 1229, 740, 1023, 1230,
        741, 1024, 1231, 742, 1025, 1232, 743, 1148, 944, 744, 1149, 945, 745,
        1150, 946, 746, 1151, 947, 747}], 
      Line3DBox[{749, 1026, 1233, 748, 1027, 1234, 750, 1028, 1235, 751, 1029,
        1236, 752, 536, 753, 1152, 948, 754, 1153, 1030, 1237, 755, 1031, 
       1238, 756, 1032, 1239, 757, 1033, 1240, 758, 1034, 1241, 759, 1154, 
       949, 760, 1155, 950, 761, 1156, 951, 762}], 
      Line3DBox[{764, 1035, 1242, 763, 1036, 1243, 765, 1037, 1244, 766, 1038,
        1245, 767, 1039, 1246, 768, 552, 769, 1157, 1040, 1247, 770, 1041, 
       1248, 771, 1042, 1249, 772, 1043, 1250, 773, 1044, 1251, 774, 1045, 
       1252, 775, 1158, 952, 776, 1159, 953, 777}], 
      Line3DBox[{781, 1160, 954, 779, 1161, 955, 783, 1162, 956, 785, 1163, 
       957, 787, 1164, 958, 789, 1165, 959, 791, 1166, 569, 793, 1167, 960, 
       795, 1168, 961, 797, 1169, 962, 799, 1170, 963, 801, 1171, 964, 803, 
       1172, 965, 805, 1174, 967, 807}], 
      Line3DBox[{806, 966, 1173, 804, 1265, 1057, 802, 1264, 1056, 800, 1263, 
       1055, 798, 1262, 1054, 796, 1261, 1053, 794, 1260, 1052, 792, 1259, 
       568, 790, 1258, 1051, 788, 1257, 1050, 786, 1256, 1049, 784, 1255, 
       1048, 782, 1254, 1047, 778, 1253, 1046, 780}], 
      Line3DBox[{809, 1058, 1266, 808, 1175, 968, 810, 1176, 969, 811, 1177, 
       970, 812, 1178, 971, 813, 1179, 972, 814, 1180, 1059, 1267, 815, 585, 
       816, 1181, 973, 817, 1182, 974, 818, 1183, 975, 819, 1184, 976, 820, 
       1185, 977, 821, 1186, 978, 822}], 
      Line3DBox[{824, 1060, 1268, 823, 1061, 1269, 825, 1187, 979, 826, 1188, 
       980, 827, 1189, 981, 828, 1190, 982, 829, 1191, 1062, 1270, 830, 1063, 
       1271, 831, 601, 832, 1192, 983, 833, 1193, 984, 834, 1194, 985, 835, 
       1195, 986, 836, 1196, 987, 837}], 
      Line3DBox[{839, 1064, 1272, 838, 1065, 1273, 840, 1066, 1274, 841, 1197,
        988, 842, 1198, 989, 843, 1199, 990, 844, 1200, 1067, 1275, 845, 1068,
        1276, 846, 1069, 1277, 847, 617, 848, 1201, 991, 849, 1202, 992, 850, 
       1203, 993, 851, 1204, 994, 852}], 
      Line3DBox[{854, 1070, 1278, 853, 1071, 1279, 855, 1072, 1280, 856, 1073,
        1281, 857, 1205, 995, 858, 1206, 996, 859, 1207, 1074, 1282, 860, 
       1075, 1283, 861, 1076, 1284, 862, 1077, 1285, 863, 633, 864, 1208, 997,
        865, 1209, 998, 866, 1210, 999, 867}], 
      Line3DBox[{869, 1078, 1286, 868, 1079, 1287, 870, 1080, 1288, 871, 1081,
        1289, 872, 1082, 1290, 873, 1211, 1000, 874, 1212, 1083, 1291, 875, 
       1084, 1292, 876, 1085, 1293, 877, 1086, 1294, 878, 1087, 1295, 879, 
       649, 880, 1213, 1001, 881, 1214, 1002, 882}], 
      Line3DBox[{884, 1088, 1296, 883, 1089, 1297, 885, 1090, 1298, 886, 1091,
        1299, 887, 1092, 1300, 888, 1093, 1301, 889, 1215, 1094, 1302, 890, 
       1095, 1303, 891, 1096, 1304, 892, 1097, 1305, 893, 1098, 1306, 894, 
       1099, 1307, 895, 665, 896, 1216, 1003, 897}], 
      Line3DBox[{911, 1009, 685, 910, 1321, 1111, 909, 1320, 1110, 908, 1319, 
       1109, 907, 1318, 1108, 906, 1317, 1107, 905, 1316, 1106, 904, 1315, 
       1314, 1105, 903, 1313, 1104, 902, 1312, 1103, 901, 1311, 1102, 900, 
       1310, 1101, 899, 1309, 1100, 898, 1112, 1308, 1007, 1008}]}}},
   VertexNormals->CompressedData["
1:eJztyDENwCAABMBPCUK6IgcJJMxIxFIldKcOmrvx7rH6vJK0mpScnv0p7733
3nvvvffee++9995777333nvvvffee++9995777333nvvvffee++999577733
3nvvvffee++9995777333nvvvffee++9995773/8L2xvtAw=
    "]],
  Axes->True,
  AxesLabel->{
    FormBox["\"x\"", TraditionalForm], 
    FormBox["\"y\"", TraditionalForm], 
    FormBox["\"z\"", TraditionalForm]},
  DisplayFunction->Identity,
  FaceGridsStyle->Automatic,
  ImageSize->{436.9196837541374, 389.8237108609514},
  Method->{},
  PlotRange->{{0., 9.999999285714285}, {0., 6.}, {0., 9.999999285714285}},
  PlotRangePadding->{
    Scaled[0.02], 
    Scaled[0.02], 
    Scaled[0.02]},
  Ticks->{Automatic, Automatic, Automatic},
  ViewPoint->{2.658949929966928, -1.4522404398016935`, -1.5069780937138573`},
  ViewVertical->{0.4390879658177392, -1.4268282354209831`, 
   0.27257967780395165`}]], "Output",
 CellChangeTimes->{3.698425713656266*^9, 3.698425781048188*^9, 
  3.6984265117370167`*^9, 3.6984273111932955`*^9, 3.6984273672971907`*^9, 
  3.69908770005994*^9, 3.6992004275870733`*^9, 3.699201315920475*^9, 
  3.69920225953913*^9, 3.699202330379721*^9, 3.6992023699545455`*^9, 
  3.6992103689706664`*^9, 3.699812020915394*^9, 3.7014240604094734`*^9, 
  3.7014257302282715`*^9, 3.7014267078716326`*^9, 3.7014287339107165`*^9, 
  3.70144534107587*^9, 3.7014456776570807`*^9, 3.701446864381819*^9, 
  3.729931835860536*^9, 3.7300229583977633`*^9, 3.73229650189019*^9, 
  3.7655628561063223`*^9},ImageCache->GraphicsData["CompressedBitmap", "\<\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\
\>"],ExpressionUUID->"c6329fb7-ce51-4859-ab99-ebc2630a47ae"]
}, Open  ]],

Cell[CellGroupData[{

Cell[BoxData[
 RowBox[{"Show", "[", 
  RowBox[{"sup2", ",", "c2", ",", "pl2", ",", 
   RowBox[{"ImageSize", "\[Rule]", " ", "Medium"}], ",", 
   RowBox[{"AxesLabel", "\[Rule]", 
    RowBox[{"{", 
     RowBox[{"\"\<x\>\"", ",", "\"\<y\>\"", ",", "\"\<z\>\""}], "}"}]}]}], 
  "]"}]], "Input",
 CellChangeTimes->{{3.698425718858983*^9, 3.6984257324176064`*^9}, {
   3.698426162960024*^9, 3.6984261745526376`*^9}, 
   3.6984273363772197`*^9},ExpressionUUID->"91f76aaa-a3f6-4d54-afde-\
0c6399101571"],

Cell[BoxData[
 Graphics3DBox[{GraphicsComplex3DBox[CompressedData["
1:eJx1nHu4VXWZgA8XQeUEmk6DZla2RVPHOV4yLfTg5TG2ZmV6ZiTLOGrlbQOj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    "], {{
      {RGBColor[0, 1, 1], Opacity[0.5], EdgeForm[None], 
       StyleBox[GraphicsGroup3DBox[
         TagBox[{Polygon3DBox[CompressedData["
1:eJwtmXfgV9Mbx++553zsEJKQJGRVUtJPGaGhkC0lKQ0kSWRklKZRSZlFhbJn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            "]], Polygon3DBox[CompressedData["
1:eJxNmnncVVMbhvdeayWKDM1zUVSGzGROISoSkVAkUiikkilUKpW5kJAGY4NI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            "]], Polygon3DBox[CompressedData["
1:eJwt13f8luMaAPD3977vL5qi1KGt4TSdNNA8DQkNDeW0HC2rgYaOljSEEi0h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            "]]},
          Annotation[#, "Charting`Private`Tag$2329#1"]& ]],
        Lighting->Automatic]}, {}, {}, {}, {}}, {{}, {}, {}, 
      {GrayLevel[0.2], 
       Line3DBox[{251, 474, 1113, 252, 488, 280, 1222, 503, 295, 1227, 518, 
        310, 1234, 533, 325, 1243, 548, 340, 1254, 563, 1161, 355, 578, 1175, 
        370, 1269, 593, 385, 1273, 608, 400, 1279, 623, 415, 1287, 638, 430, 
        1297, 653, 445, 1309, 668, 460}], 
       Line3DBox[{253, 475, 1114, 254, 489, 1125, 281, 504, 296, 1228, 519, 
        311, 1235, 534, 326, 1244, 549, 341, 1255, 564, 1162, 356, 579, 1176, 
        371, 594, 1187, 386, 1274, 609, 401, 1280, 624, 416, 1288, 639, 431, 
        1298, 654, 446, 1310, 669, 461}], 
       Line3DBox[{255, 476, 1115, 256, 490, 1126, 282, 505, 1136, 297, 520, 
        312, 1236, 535, 327, 1245, 550, 342, 1256, 565, 1163, 357, 580, 1177, 
        372, 595, 1188, 387, 610, 1197, 402, 1281, 625, 417, 1289, 640, 432, 
        1299, 655, 447, 1311, 670, 462}], 
       Line3DBox[{257, 477, 1116, 258, 491, 1127, 283, 506, 1137, 298, 521, 
        1145, 313, 536, 328, 1246, 551, 343, 1257, 566, 1164, 358, 581, 1178, 
        373, 596, 1189, 388, 611, 1198, 403, 626, 1205, 418, 1290, 641, 433, 
        1300, 656, 448, 1312, 671, 463}], 
       Line3DBox[{259, 478, 1117, 260, 492, 1128, 284, 507, 1138, 299, 522, 
        1146, 314, 537, 1152, 329, 552, 344, 1258, 567, 1165, 359, 582, 1179, 
        374, 597, 1190, 389, 612, 1199, 404, 627, 1206, 419, 642, 1211, 434, 
        1301, 657, 449, 1313, 672, 464}], 
       Line3DBox[{261, 479, 1118, 263, 493, 1129, 285, 508, 1139, 300, 523, 
        1147, 315, 538, 1153, 330, 553, 1157, 345, 568, 1166, 360, 583, 1180, 
        375, 598, 1191, 390, 613, 1200, 405, 628, 1207, 420, 643, 1212, 435, 
        658, 1215, 450, 1314, 673, 465}], 
       Line3DBox[{265, 481, 1119, 266, 1220, 495, 287, 1224, 510, 302, 1230, 
        525, 317, 1238, 540, 332, 1248, 555, 347, 1260, 570, 1167, 362, 585, 
        377, 1271, 600, 392, 1276, 615, 407, 1283, 630, 422, 1292, 645, 437, 
        1303, 660, 452, 1316, 675, 467}], 
       Line3DBox[{267, 482, 1120, 268, 496, 1130, 288, 1225, 511, 303, 1231, 
        526, 318, 1239, 541, 333, 1249, 556, 348, 1261, 571, 1168, 363, 586, 
        1181, 378, 601, 393, 1277, 616, 408, 1284, 631, 423, 1293, 646, 438, 
        1304, 661, 453, 1317, 676, 468}], 
       Line3DBox[{269, 483, 1121, 270, 497, 1131, 289, 512, 1140, 304, 1232, 
        527, 319, 1240, 542, 334, 1250, 557, 349, 1262, 572, 1169, 364, 587, 
        1182, 379, 602, 1192, 394, 617, 409, 1285, 632, 424, 1294, 647, 439, 
        1305, 662, 454, 1318, 677, 469}], 
       Line3DBox[{271, 484, 1122, 272, 498, 1132, 290, 513, 1141, 305, 528, 
        1148, 320, 1241, 543, 335, 1251, 558, 350, 1263, 573, 1170, 365, 588, 
        1183, 380, 603, 1193, 395, 618, 1201, 410, 633, 425, 1295, 648, 440, 
        1306, 663, 455, 1319, 678, 470}], 
       Line3DBox[{273, 485, 1123, 274, 499, 1133, 291, 514, 1142, 306, 529, 
        1149, 321, 544, 1154, 336, 1252, 559, 351, 1264, 574, 1171, 366, 589, 
        1184, 381, 604, 1194, 396, 619, 1202, 411, 634, 1208, 426, 649, 441, 
        1307, 664, 456, 1320, 679, 471}], 
       Line3DBox[{275, 486, 1124, 276, 500, 1134, 292, 515, 1143, 307, 530, 
        1150, 322, 545, 1155, 337, 560, 1158, 352, 1265, 575, 1172, 367, 590, 
        1185, 382, 605, 1195, 397, 620, 1203, 412, 635, 1209, 427, 650, 1213, 
        442, 665, 457, 1321, 680, 472}], 
       Line3DBox[{277, 682, 1322, 683, 278, 501, 1135, 293, 516, 1144, 308, 
        531, 1151, 323, 546, 1156, 338, 561, 1159, 353, 576, 1173, 1174, 368, 
        591, 1186, 383, 606, 1196, 398, 621, 1204, 413, 636, 1210, 428, 651, 
        1214, 443, 666, 1216, 458, 685, 686, 687}], 
       Line3DBox[{459, 667, 684, 1308, 444, 652, 1296, 429, 637, 1286, 414, 
        622, 1278, 399, 607, 1272, 384, 592, 1268, 369, 577, 1266, 354, 1160, 
        562, 1253, 339, 547, 1242, 324, 532, 1233, 309, 517, 1226, 294, 502, 
        1221, 279, 487, 1218, 250, 473, 681, 688}], 
       Line3DBox[{466, 674, 1315, 451, 659, 1302, 436, 644, 1291, 421, 629, 
        1282, 406, 614, 1275, 391, 599, 1270, 376, 584, 1267, 361, 569, 1259, 
        346, 554, 1247, 331, 539, 1237, 316, 524, 1229, 301, 509, 1223, 286, 
        494, 1219, 264, 480, 1217, 262}]}, 
      {GrayLevel[0.2], 
       Line3DBox[{690, 1004, 473, 689, 1113, 912, 691, 1114, 913, 692, 1115, 
        914, 693, 1116, 915, 694, 1117, 916, 695, 1118, 1010, 1217, 696, 1119,
         917, 697, 1120, 918, 698, 1121, 919, 699, 1122, 920, 700, 1123, 921, 
        701, 1124, 922, 702, 1322, 1005, 923, 1006}], 
       Line3DBox[{704, 1011, 1218, 703, 488, 705, 1125, 924, 706, 1126, 925, 
        707, 1127, 926, 708, 1128, 927, 709, 1129, 1012, 1219, 710, 1013, 
        1220, 711, 1130, 928, 712, 1131, 929, 713, 1132, 930, 714, 1133, 931, 
        715, 1134, 932, 716, 1135, 933, 717}], 
       Line3DBox[{719, 1014, 1221, 718, 1015, 1222, 720, 504, 721, 1136, 934, 
        722, 1137, 935, 723, 1138, 936, 724, 1139, 1016, 1223, 725, 1017, 
        1224, 726, 1018, 1225, 727, 1140, 937, 728, 1141, 938, 729, 1142, 939,
         730, 1143, 940, 731, 1144, 941, 732}], 
       Line3DBox[{734, 1019, 1226, 733, 1020, 1227, 735, 1021, 1228, 736, 520,
         737, 1145, 942, 738, 1146, 943, 739, 1147, 1022, 1229, 740, 1023, 
        1230, 741, 1024, 1231, 742, 1025, 1232, 743, 1148, 944, 744, 1149, 
        945, 745, 1150, 946, 746, 1151, 947, 747}], 
       Line3DBox[{749, 1026, 1233, 748, 1027, 1234, 750, 1028, 1235, 751, 
        1029, 1236, 752, 536, 753, 1152, 948, 754, 1153, 1030, 1237, 755, 
        1031, 1238, 756, 1032, 1239, 757, 1033, 1240, 758, 1034, 1241, 759, 
        1154, 949, 760, 1155, 950, 761, 1156, 951, 762}], 
       Line3DBox[{764, 1035, 1242, 763, 1036, 1243, 765, 1037, 1244, 766, 
        1038, 1245, 767, 1039, 1246, 768, 552, 769, 1157, 1040, 1247, 770, 
        1041, 1248, 771, 1042, 1249, 772, 1043, 1250, 773, 1044, 1251, 774, 
        1045, 1252, 775, 1158, 952, 776, 1159, 953, 777}], 
       Line3DBox[{781, 1160, 954, 779, 1161, 955, 783, 1162, 956, 785, 1163, 
        957, 787, 1164, 958, 789, 1165, 959, 791, 1166, 569, 793, 1167, 960, 
        795, 1168, 961, 797, 1169, 962, 799, 1170, 963, 801, 1171, 964, 803, 
        1172, 965, 805, 1174, 967, 807}], 
       Line3DBox[{806, 966, 1173, 804, 1265, 1057, 802, 1264, 1056, 800, 1263,
         1055, 798, 1262, 1054, 796, 1261, 1053, 794, 1260, 1052, 792, 1259, 
        568, 790, 1258, 1051, 788, 1257, 1050, 786, 1256, 1049, 784, 1255, 
        1048, 782, 1254, 1047, 778, 1253, 1046, 780}], 
       Line3DBox[{809, 1058, 1266, 808, 1175, 968, 810, 1176, 969, 811, 1177, 
        970, 812, 1178, 971, 813, 1179, 972, 814, 1180, 1059, 1267, 815, 585, 
        816, 1181, 973, 817, 1182, 974, 818, 1183, 975, 819, 1184, 976, 820, 
        1185, 977, 821, 1186, 978, 822}], 
       Line3DBox[{824, 1060, 1268, 823, 1061, 1269, 825, 1187, 979, 826, 1188,
         980, 827, 1189, 981, 828, 1190, 982, 829, 1191, 1062, 1270, 830, 
        1063, 1271, 831, 601, 832, 1192, 983, 833, 1193, 984, 834, 1194, 985, 
        835, 1195, 986, 836, 1196, 987, 837}], 
       Line3DBox[{839, 1064, 1272, 838, 1065, 1273, 840, 1066, 1274, 841, 
        1197, 988, 842, 1198, 989, 843, 1199, 990, 844, 1200, 1067, 1275, 845,
         1068, 1276, 846, 1069, 1277, 847, 617, 848, 1201, 991, 849, 1202, 
        992, 850, 1203, 993, 851, 1204, 994, 852}], 
       Line3DBox[{854, 1070, 1278, 853, 1071, 1279, 855, 1072, 1280, 856, 
        1073, 1281, 857, 1205, 995, 858, 1206, 996, 859, 1207, 1074, 1282, 
        860, 1075, 1283, 861, 1076, 1284, 862, 1077, 1285, 863, 633, 864, 
        1208, 997, 865, 1209, 998, 866, 1210, 999, 867}], 
       Line3DBox[{869, 1078, 1286, 868, 1079, 1287, 870, 1080, 1288, 871, 
        1081, 1289, 872, 1082, 1290, 873, 1211, 1000, 874, 1212, 1083, 1291, 
        875, 1084, 1292, 876, 1085, 1293, 877, 1086, 1294, 878, 1087, 1295, 
        879, 649, 880, 1213, 1001, 881, 1214, 1002, 882}], 
       Line3DBox[{884, 1088, 1296, 883, 1089, 1297, 885, 1090, 1298, 886, 
        1091, 1299, 887, 1092, 1300, 888, 1093, 1301, 889, 1215, 1094, 1302, 
        890, 1095, 1303, 891, 1096, 1304, 892, 1097, 1305, 893, 1098, 1306, 
        894, 1099, 1307, 895, 665, 896, 1216, 1003, 897}], 
       Line3DBox[{911, 1009, 685, 910, 1321, 1111, 909, 1320, 1110, 908, 1319,
         1109, 907, 1318, 1108, 906, 1317, 1107, 905, 1316, 1106, 904, 1315, 
        1314, 1105, 903, 1313, 1104, 902, 1312, 1103, 901, 1311, 1102, 900, 
        1310, 1101, 899, 1309, 1100, 898, 1112, 1308, 1007, 1008}]}}},
    VertexNormals->CompressedData["
1:eJztyLENQAAUQMEfYgmdSmIFhR10WonaCpbQG8UgGp2ojEBiALXkXvOSK/qx
HZKIqLKI9Pl81Eu+7k28TfvWXeVyNpxzzjnnnHPOOeecc845//TgnHPOOeec
c84555xzzjnnnHPOOeecc84555xzzjnnnHPOOeecc84555xzzjnnnHPOOeec
c84555xzzjnnnP/fb0Gqbv4=
     "]], {{}, {}, 
    TagBox[
     {RGBColor[0, 0, 0], Thickness[0.02], Line3DBox[CompressedData["
1:eJxF0H1Q02UAB/CNzTm28bK5ChkvG3FMJohYcOhRzyokXtSIwBBKZCCcAlNU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       "]]},
     Annotation[#, "Charting`Private`Tag$2463#1"]& ]}, 
   GraphicsComplex3DBox[CompressedData["
1:eJyNnH2wVHUZgJePe7lUKEFcrqKGuI5TGjiNOTalmIq2YkNiZnmj77IZW1Mo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    "], {{
      {RGBColor[1, 0, 1], Opacity[0.5], EdgeForm[None], 
       StyleBox[GraphicsGroup3DBox[
         TagBox[{Polygon3DBox[CompressedData["
1:eJwtmXfgV9Mbx++553zsEJKQJGRVUtJPGaGhkC0lKQ0kSWRklKZRSZlFhbJn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            "]], Polygon3DBox[CompressedData["
1:eJxNmnncVVMbhvdeayWKDM1zUVSGzGROISoSkVAkUiikkilUKpW5kJAGY4NI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            "]], Polygon3DBox[CompressedData["
1:eJwt13f8luMaAPD3977vL5qi1KGt4TSdNNA8DQkNDeW0HC2rgYaOljSEEi0h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            "]]},
          Annotation[#, "Charting`Private`Tag$2482#1"]& ]],
        Lighting->Automatic]}, {}, {}, {}, {}}, {{}, {}, {}, 
      {GrayLevel[0.2], 
       Line3DBox[{251, 474, 1113, 252, 488, 280, 1222, 503, 295, 1227, 518, 
        310, 1234, 533, 325, 1243, 548, 340, 1254, 563, 1161, 355, 578, 1175, 
        370, 1269, 593, 385, 1273, 608, 400, 1279, 623, 415, 1287, 638, 430, 
        1297, 653, 445, 1309, 668, 460}], 
       Line3DBox[{253, 475, 1114, 254, 489, 1125, 281, 504, 296, 1228, 519, 
        311, 1235, 534, 326, 1244, 549, 341, 1255, 564, 1162, 356, 579, 1176, 
        371, 594, 1187, 386, 1274, 609, 401, 1280, 624, 416, 1288, 639, 431, 
        1298, 654, 446, 1310, 669, 461}], 
       Line3DBox[{255, 476, 1115, 256, 490, 1126, 282, 505, 1136, 297, 520, 
        312, 1236, 535, 327, 1245, 550, 342, 1256, 565, 1163, 357, 580, 1177, 
        372, 595, 1188, 387, 610, 1197, 402, 1281, 625, 417, 1289, 640, 432, 
        1299, 655, 447, 1311, 670, 462}], 
       Line3DBox[{257, 477, 1116, 258, 491, 1127, 283, 506, 1137, 298, 521, 
        1145, 313, 536, 328, 1246, 551, 343, 1257, 566, 1164, 358, 581, 1178, 
        373, 596, 1189, 388, 611, 1198, 403, 626, 1205, 418, 1290, 641, 433, 
        1300, 656, 448, 1312, 671, 463}], 
       Line3DBox[{259, 478, 1117, 260, 492, 1128, 284, 507, 1138, 299, 522, 
        1146, 314, 537, 1152, 329, 552, 344, 1258, 567, 1165, 359, 582, 1179, 
        374, 597, 1190, 389, 612, 1199, 404, 627, 1206, 419, 642, 1211, 434, 
        1301, 657, 449, 1313, 672, 464}], 
       Line3DBox[{261, 479, 1118, 263, 493, 1129, 285, 508, 1139, 300, 523, 
        1147, 315, 538, 1153, 330, 553, 1157, 345, 568, 1166, 360, 583, 1180, 
        375, 598, 1191, 390, 613, 1200, 405, 628, 1207, 420, 643, 1212, 435, 
        658, 1215, 450, 1314, 673, 465}], 
       Line3DBox[{265, 481, 1119, 266, 1220, 495, 287, 1224, 510, 302, 1230, 
        525, 317, 1238, 540, 332, 1248, 555, 347, 1260, 570, 1167, 362, 585, 
        377, 1271, 600, 392, 1276, 615, 407, 1283, 630, 422, 1292, 645, 437, 
        1303, 660, 452, 1316, 675, 467}], 
       Line3DBox[{267, 482, 1120, 268, 496, 1130, 288, 1225, 511, 303, 1231, 
        526, 318, 1239, 541, 333, 1249, 556, 348, 1261, 571, 1168, 363, 586, 
        1181, 378, 601, 393, 1277, 616, 408, 1284, 631, 423, 1293, 646, 438, 
        1304, 661, 453, 1317, 676, 468}], 
       Line3DBox[{269, 483, 1121, 270, 497, 1131, 289, 512, 1140, 304, 1232, 
        527, 319, 1240, 542, 334, 1250, 557, 349, 1262, 572, 1169, 364, 587, 
        1182, 379, 602, 1192, 394, 617, 409, 1285, 632, 424, 1294, 647, 439, 
        1305, 662, 454, 1318, 677, 469}], 
       Line3DBox[{271, 484, 1122, 272, 498, 1132, 290, 513, 1141, 305, 528, 
        1148, 320, 1241, 543, 335, 1251, 558, 350, 1263, 573, 1170, 365, 588, 
        1183, 380, 603, 1193, 395, 618, 1201, 410, 633, 425, 1295, 648, 440, 
        1306, 663, 455, 1319, 678, 470}], 
       Line3DBox[{273, 485, 1123, 274, 499, 1133, 291, 514, 1142, 306, 529, 
        1149, 321, 544, 1154, 336, 1252, 559, 351, 1264, 574, 1171, 366, 589, 
        1184, 381, 604, 1194, 396, 619, 1202, 411, 634, 1208, 426, 649, 441, 
        1307, 664, 456, 1320, 679, 471}], 
       Line3DBox[{275, 486, 1124, 276, 500, 1134, 292, 515, 1143, 307, 530, 
        1150, 322, 545, 1155, 337, 560, 1158, 352, 1265, 575, 1172, 367, 590, 
        1185, 382, 605, 1195, 397, 620, 1203, 412, 635, 1209, 427, 650, 1213, 
        442, 665, 457, 1321, 680, 472}], 
       Line3DBox[{277, 682, 1322, 683, 278, 501, 1135, 293, 516, 1144, 308, 
        531, 1151, 323, 546, 1156, 338, 561, 1159, 353, 576, 1173, 1174, 368, 
        591, 1186, 383, 606, 1196, 398, 621, 1204, 413, 636, 1210, 428, 651, 
        1214, 443, 666, 1216, 458, 685, 686, 687}], 
       Line3DBox[{459, 667, 684, 1308, 444, 652, 1296, 429, 637, 1286, 414, 
        622, 1278, 399, 607, 1272, 384, 592, 1268, 369, 577, 1266, 354, 1160, 
        562, 1253, 339, 547, 1242, 324, 532, 1233, 309, 517, 1226, 294, 502, 
        1221, 279, 487, 1218, 250, 473, 681, 688}], 
       Line3DBox[{466, 674, 1315, 451, 659, 1302, 436, 644, 1291, 421, 629, 
        1282, 406, 614, 1275, 391, 599, 1270, 376, 584, 1267, 361, 569, 1259, 
        346, 554, 1247, 331, 539, 1237, 316, 524, 1229, 301, 509, 1223, 286, 
        494, 1219, 264, 480, 1217, 262}]}, 
      {GrayLevel[0.2], 
       Line3DBox[{690, 1004, 473, 689, 1113, 912, 691, 1114, 913, 692, 1115, 
        914, 693, 1116, 915, 694, 1117, 916, 695, 1118, 1010, 1217, 696, 1119,
         917, 697, 1120, 918, 698, 1121, 919, 699, 1122, 920, 700, 1123, 921, 
        701, 1124, 922, 702, 1322, 1005, 923, 1006}], 
       Line3DBox[{704, 1011, 1218, 703, 488, 705, 1125, 924, 706, 1126, 925, 
        707, 1127, 926, 708, 1128, 927, 709, 1129, 1012, 1219, 710, 1013, 
        1220, 711, 1130, 928, 712, 1131, 929, 713, 1132, 930, 714, 1133, 931, 
        715, 1134, 932, 716, 1135, 933, 717}], 
       Line3DBox[{719, 1014, 1221, 718, 1015, 1222, 720, 504, 721, 1136, 934, 
        722, 1137, 935, 723, 1138, 936, 724, 1139, 1016, 1223, 725, 1017, 
        1224, 726, 1018, 1225, 727, 1140, 937, 728, 1141, 938, 729, 1142, 939,
         730, 1143, 940, 731, 1144, 941, 732}], 
       Line3DBox[{734, 1019, 1226, 733, 1020, 1227, 735, 1021, 1228, 736, 520,
         737, 1145, 942, 738, 1146, 943, 739, 1147, 1022, 1229, 740, 1023, 
        1230, 741, 1024, 1231, 742, 1025, 1232, 743, 1148, 944, 744, 1149, 
        945, 745, 1150, 946, 746, 1151, 947, 747}], 
       Line3DBox[{749, 1026, 1233, 748, 1027, 1234, 750, 1028, 1235, 751, 
        1029, 1236, 752, 536, 753, 1152, 948, 754, 1153, 1030, 1237, 755, 
        1031, 1238, 756, 1032, 1239, 757, 1033, 1240, 758, 1034, 1241, 759, 
        1154, 949, 760, 1155, 950, 761, 1156, 951, 762}], 
       Line3DBox[{764, 1035, 1242, 763, 1036, 1243, 765, 1037, 1244, 766, 
        1038, 1245, 767, 1039, 1246, 768, 552, 769, 1157, 1040, 1247, 770, 
        1041, 1248, 771, 1042, 1249, 772, 1043, 1250, 773, 1044, 1251, 774, 
        1045, 1252, 775, 1158, 952, 776, 1159, 953, 777}], 
       Line3DBox[{781, 1160, 954, 779, 1161, 955, 783, 1162, 956, 785, 1163, 
        957, 787, 1164, 958, 789, 1165, 959, 791, 1166, 569, 793, 1167, 960, 
        795, 1168, 961, 797, 1169, 962, 799, 1170, 963, 801, 1171, 964, 803, 
        1172, 965, 805, 1174, 967, 807}], 
       Line3DBox[{806, 966, 1173, 804, 1265, 1057, 802, 1264, 1056, 800, 1263,
         1055, 798, 1262, 1054, 796, 1261, 1053, 794, 1260, 1052, 792, 1259, 
        568, 790, 1258, 1051, 788, 1257, 1050, 786, 1256, 1049, 784, 1255, 
        1048, 782, 1254, 1047, 778, 1253, 1046, 780}], 
       Line3DBox[{809, 1058, 1266, 808, 1175, 968, 810, 1176, 969, 811, 1177, 
        970, 812, 1178, 971, 813, 1179, 972, 814, 1180, 1059, 1267, 815, 585, 
        816, 1181, 973, 817, 1182, 974, 818, 1183, 975, 819, 1184, 976, 820, 
        1185, 977, 821, 1186, 978, 822}], 
       Line3DBox[{824, 1060, 1268, 823, 1061, 1269, 825, 1187, 979, 826, 1188,
         980, 827, 1189, 981, 828, 1190, 982, 829, 1191, 1062, 1270, 830, 
        1063, 1271, 831, 601, 832, 1192, 983, 833, 1193, 984, 834, 1194, 985, 
        835, 1195, 986, 836, 1196, 987, 837}], 
       Line3DBox[{839, 1064, 1272, 838, 1065, 1273, 840, 1066, 1274, 841, 
        1197, 988, 842, 1198, 989, 843, 1199, 990, 844, 1200, 1067, 1275, 845,
         1068, 1276, 846, 1069, 1277, 847, 617, 848, 1201, 991, 849, 1202, 
        992, 850, 1203, 993, 851, 1204, 994, 852}], 
       Line3DBox[{854, 1070, 1278, 853, 1071, 1279, 855, 1072, 1280, 856, 
        1073, 1281, 857, 1205, 995, 858, 1206, 996, 859, 1207, 1074, 1282, 
        860, 1075, 1283, 861, 1076, 1284, 862, 1077, 1285, 863, 633, 864, 
        1208, 997, 865, 1209, 998, 866, 1210, 999, 867}], 
       Line3DBox[{869, 1078, 1286, 868, 1079, 1287, 870, 1080, 1288, 871, 
        1081, 1289, 872, 1082, 1290, 873, 1211, 1000, 874, 1212, 1083, 1291, 
        875, 1084, 1292, 876, 1085, 1293, 877, 1086, 1294, 878, 1087, 1295, 
        879, 649, 880, 1213, 1001, 881, 1214, 1002, 882}], 
       Line3DBox[{884, 1088, 1296, 883, 1089, 1297, 885, 1090, 1298, 886, 
        1091, 1299, 887, 1092, 1300, 888, 1093, 1301, 889, 1215, 1094, 1302, 
        890, 1095, 1303, 891, 1096, 1304, 892, 1097, 1305, 893, 1098, 1306, 
        894, 1099, 1307, 895, 665, 896, 1216, 1003, 897}], 
       Line3DBox[{911, 1009, 685, 910, 1321, 1111, 909, 1320, 1110, 908, 1319,
         1109, 907, 1318, 1108, 906, 1317, 1107, 905, 1316, 1106, 904, 1315, 
        1314, 1105, 903, 1313, 1104, 902, 1312, 1103, 901, 1311, 1102, 900, 
        1310, 1101, 899, 1309, 1100, 898, 1112, 1308, 1007, 1008}]}}},
    VertexNormals->CompressedData["
1:eJztyDENwCAABMBPCUK6IgcJJMxIxFIldKcOmrvx7rH6vJK0mpScnv0p7733
3nvvvffee++9995777333nvvvffee++9995777333nvvvffee++999577733
3nvvvffee++9995777333nvvvffee++9995773/8L2xvtAw=
     "]]},
  Axes->True,
  AxesLabel->{
    FormBox["\"x\"", TraditionalForm], 
    FormBox["\"y\"", TraditionalForm], 
    FormBox["\"z\"", TraditionalForm]},
  DisplayFunction->Identity,
  FaceGridsStyle->Automatic,
  ImageSize->Medium,
  Method->{},
  PlotRange->{{0., 3.9999997142857144`}, {0., 
   3.9999997142857144`}, {-0.6666664761904761, 1.9999998095238096`}},
  PlotRangePadding->{
    Scaled[0.02], 
    Scaled[0.02], 
    Scaled[0.02]},
  Ticks->{Automatic, Automatic, Automatic},
  ViewPoint->{3.0576765906409458`, 1.0638734921663089`, 0.9842698104240666},
  ViewVertical->{0.2977188205501077, 0.15234640014816495`, 
   1.4136290042106103`}]], "Output",
 CellChangeTimes->{
  3.698425733056078*^9, 3.6984257810722055`*^9, {3.698425835194589*^9, 
   3.6984258624239545`*^9}, 3.698426175217119*^9, 3.698427311269349*^9, 
   3.6984273673222094`*^9, 3.6990877001039705`*^9, 3.699200427639129*^9, 
   3.699201315961483*^9, 3.6992022595761747`*^9, 3.6992023304147425`*^9, 
   3.699202369982563*^9, 3.6992103690006723`*^9, 3.699812021286665*^9, 
   3.701424060441497*^9, 3.7014257303403373`*^9, 3.701426707908682*^9, 
   3.701428734022832*^9, 3.7014453411149025`*^9, 3.701445677830203*^9, 
   3.70144686444186*^9, 3.729931835908958*^9, 3.730022958435583*^9, 
   3.7322965019254827`*^9, 
   3.765562856139699*^9},ImageCache->GraphicsData["CompressedBitmap", "\<\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\
\>"],ExpressionUUID->"3a997c14-7da9-41d6-b945-c5bdbc37b7cf"]
}, Open  ]]
}, Open  ]],

Cell[CellGroupData[{

Cell["Inciso c): x = 4 ", "Subsection",
 CellChangeTimes->{{3.6984265414457626`*^9, 3.6984265483086433`*^9}, {
  3.698426641433074*^9, 3.6984266456560097`*^9}}],

Cell[CellGroupData[{

Cell[BoxData[
 RowBox[{"c3", "=", 
  RowBox[{"ParametricPlot3D", "[", 
   RowBox[{
    RowBox[{"{", 
     RowBox[{"4", ",", "t", ",", 
      SqrtBox[
       RowBox[{"1", "+", 
        SuperscriptBox["t", "2"]}]]}], "}"}], ",", 
    RowBox[{"{", 
     RowBox[{"t", ",", "0", ",", "10"}], "}"}], ",", 
    RowBox[{"PlotStyle", "\[Rule]", 
     RowBox[{"{", 
      RowBox[{
       RowBox[{"Thickness", "[", "0.02", "]"}], ",", 
       RowBox[{"RGBColor", "[", 
        RowBox[{"0", ",", "0", ",", "0"}], "]"}]}], "}"}]}], ",", 
    RowBox[{"AxesLabel", "\[Rule]", 
     RowBox[{"{", 
      RowBox[{"\"\<x\>\"", ",", "\"\<y\>\"", ",", "\"\<z\>\""}], "}"}]}]}], 
   "]"}]}]], "Input",
 CellChangeTimes->{{3.6984266589532375`*^9, 3.698426666538622*^9}, {
   3.698426756821823*^9, 3.698426766844951*^9}, 
   3.698427332594512*^9},ExpressionUUID->"dd070325-8a97-4013-b11c-\
c6448ec28320"],

Cell[BoxData[
 Graphics3DBox[{{}, {}, 
   TagBox[
    {RGBColor[0, 0, 0], Thickness[0.02], Line3DBox[CompressedData["
1:eJxFz31Q0wUcBvDNAY6xgA1F2GAvjFyMN5enQBq/byalLCcpZIEITB0JieI5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      "]]},
    Annotation[#, "Charting`Private`Tag$2508#1"]& ]},
  Axes->True,
  AxesLabel->{
    FormBox["\"x\"", TraditionalForm], 
    FormBox["\"y\"", TraditionalForm], 
    FormBox["\"z\"", TraditionalForm]},
  DisplayFunction->Identity,
  FaceGridsStyle->Automatic,
  ImageSize->{360.98515161901645`, 427.1054296112129},
  Method->{},
  PlotRange->{{0., 8.}, {0., 9.999999795918367}, {0., 10.049875418052075`}},
  PlotRangePadding->{
    Scaled[0.02], 
    Scaled[0.02], 
    Scaled[0.02]},
  Ticks->{Automatic, Automatic, Automatic},
  ViewPoint->{1.5282172673582701`, -2.375137404841754, 1.8636722597789557`},
  ViewVertical->{0.06519269960658926, -0.025442602653189175`, 
   0.9983315871537889}]], "Output",
 CellChangeTimes->{3.698426769317726*^9, 3.6984273113604145`*^9, 
  3.6984273673512287`*^9, 3.6990877001399965`*^9, 3.699200427745208*^9, 
  3.6992013160105147`*^9, 3.699202259608206*^9, 3.6992023304487953`*^9, 
  3.699202370016611*^9, 3.699210369030717*^9, 3.699812021542848*^9, 
  3.7014240604805255`*^9, 3.701425730475434*^9, 3.7014267142742023`*^9, 
  3.7014287340678453`*^9, 3.7014453411809425`*^9, 3.7014456779362803`*^9, 
  3.7014468645079093`*^9, 3.729931835947092*^9, 3.730022958468027*^9, 
  3.732296502999601*^9, 
  3.765562856171102*^9},ExpressionUUID->"c0d6bcb6-a588-4c0a-a18f-\
4acc403b2515"]
}, Open  ]],

Cell[CellGroupData[{

Cell[BoxData[
 RowBox[{"pl3", "=", 
  RowBox[{"ParametricPlot3D", "[", 
   RowBox[{
    RowBox[{"{", 
     RowBox[{"4", ",", "u", ",", "v"}], "}"}], ",", 
    RowBox[{"{", 
     RowBox[{"u", ",", "0", ",", "10"}], "}"}], ",", 
    RowBox[{"{", 
     RowBox[{"v", ",", "0", ",", "10"}], "}"}], ",", 
    RowBox[{"PlotStyle", "\[Rule]", 
     RowBox[{"RGBColor", "[", 
      RowBox[{"0", ",", "1", ",", "1", ",", "0.5"}], "]"}]}], ",", 
    RowBox[{"AxesLabel", "\[Rule]", 
     RowBox[{"{", 
      RowBox[{"\"\<x\>\"", ",", "\"\<y\>\"", ",", "\"\<z\>\""}], "}"}]}]}], 
   "]"}]}]], "Input",
 CellChangeTimes->{{3.6984267861817017`*^9, 3.6984268317831297`*^9}, {
  3.6984274619143896`*^9, 
  3.698427464334092*^9}},ExpressionUUID->"3f55ece4-c298-42ad-8930-\
71cb616510df"],

Cell[BoxData[
 Graphics3DBox[GraphicsComplex3DBox[CompressedData["
1:eJyNnH2w1FUZgJePe7mYKEJcUCwV1nHyAx1HGZtUKEFbsSE100TULKWZWlNJ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   "], {{
     {RGBColor[0, 1, 1], Opacity[0.5], EdgeForm[None], 
      StyleBox[GraphicsGroup3DBox[
        TagBox[{Polygon3DBox[CompressedData["
1:eJwtmXfgV9Mbx++553zsEJKQJGRVUtJPGaGhkC0lKQ0kSWRklKZRSZlFhbJn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           "]], Polygon3DBox[CompressedData["
1:eJxNmnncVVMbhvdeayWKDM1zUVSGzGROISoSkVAkUiikkilUKpW5kJAGY4NI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           "]], Polygon3DBox[CompressedData["
1:eJwt13f8luMaAPD3977vL5qi1KGt4TSdNNA8DQkNDeW0HC2rgYaOljSEEi0h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           "]]},
         Annotation[#, "Charting`Private`Tag$2527#1"]& ]],
       Lighting->Automatic]}, {}, {}, {}, {}}, {{}, {}, {}, 
     {GrayLevel[0.2], 
      Line3DBox[{251, 474, 1113, 252, 488, 280, 1222, 503, 295, 1227, 518, 
       310, 1234, 533, 325, 1243, 548, 340, 1254, 563, 1161, 355, 578, 1175, 
       370, 1269, 593, 385, 1273, 608, 400, 1279, 623, 415, 1287, 638, 430, 
       1297, 653, 445, 1309, 668, 460}], 
      Line3DBox[{253, 475, 1114, 254, 489, 1125, 281, 504, 296, 1228, 519, 
       311, 1235, 534, 326, 1244, 549, 341, 1255, 564, 1162, 356, 579, 1176, 
       371, 594, 1187, 386, 1274, 609, 401, 1280, 624, 416, 1288, 639, 431, 
       1298, 654, 446, 1310, 669, 461}], 
      Line3DBox[{255, 476, 1115, 256, 490, 1126, 282, 505, 1136, 297, 520, 
       312, 1236, 535, 327, 1245, 550, 342, 1256, 565, 1163, 357, 580, 1177, 
       372, 595, 1188, 387, 610, 1197, 402, 1281, 625, 417, 1289, 640, 432, 
       1299, 655, 447, 1311, 670, 462}], 
      Line3DBox[{257, 477, 1116, 258, 491, 1127, 283, 506, 1137, 298, 521, 
       1145, 313, 536, 328, 1246, 551, 343, 1257, 566, 1164, 358, 581, 1178, 
       373, 596, 1189, 388, 611, 1198, 403, 626, 1205, 418, 1290, 641, 433, 
       1300, 656, 448, 1312, 671, 463}], 
      Line3DBox[{259, 478, 1117, 260, 492, 1128, 284, 507, 1138, 299, 522, 
       1146, 314, 537, 1152, 329, 552, 344, 1258, 567, 1165, 359, 582, 1179, 
       374, 597, 1190, 389, 612, 1199, 404, 627, 1206, 419, 642, 1211, 434, 
       1301, 657, 449, 1313, 672, 464}], 
      Line3DBox[{261, 479, 1118, 263, 493, 1129, 285, 508, 1139, 300, 523, 
       1147, 315, 538, 1153, 330, 553, 1157, 345, 568, 1166, 360, 583, 1180, 
       375, 598, 1191, 390, 613, 1200, 405, 628, 1207, 420, 643, 1212, 435, 
       658, 1215, 450, 1314, 673, 465}], 
      Line3DBox[{265, 481, 1119, 266, 1220, 495, 287, 1224, 510, 302, 1230, 
       525, 317, 1238, 540, 332, 1248, 555, 347, 1260, 570, 1167, 362, 585, 
       377, 1271, 600, 392, 1276, 615, 407, 1283, 630, 422, 1292, 645, 437, 
       1303, 660, 452, 1316, 675, 467}], 
      Line3DBox[{267, 482, 1120, 268, 496, 1130, 288, 1225, 511, 303, 1231, 
       526, 318, 1239, 541, 333, 1249, 556, 348, 1261, 571, 1168, 363, 586, 
       1181, 378, 601, 393, 1277, 616, 408, 1284, 631, 423, 1293, 646, 438, 
       1304, 661, 453, 1317, 676, 468}], 
      Line3DBox[{269, 483, 1121, 270, 497, 1131, 289, 512, 1140, 304, 1232, 
       527, 319, 1240, 542, 334, 1250, 557, 349, 1262, 572, 1169, 364, 587, 
       1182, 379, 602, 1192, 394, 617, 409, 1285, 632, 424, 1294, 647, 439, 
       1305, 662, 454, 1318, 677, 469}], 
      Line3DBox[{271, 484, 1122, 272, 498, 1132, 290, 513, 1141, 305, 528, 
       1148, 320, 1241, 543, 335, 1251, 558, 350, 1263, 573, 1170, 365, 588, 
       1183, 380, 603, 1193, 395, 618, 1201, 410, 633, 425, 1295, 648, 440, 
       1306, 663, 455, 1319, 678, 470}], 
      Line3DBox[{273, 485, 1123, 274, 499, 1133, 291, 514, 1142, 306, 529, 
       1149, 321, 544, 1154, 336, 1252, 559, 351, 1264, 574, 1171, 366, 589, 
       1184, 381, 604, 1194, 396, 619, 1202, 411, 634, 1208, 426, 649, 441, 
       1307, 664, 456, 1320, 679, 471}], 
      Line3DBox[{275, 486, 1124, 276, 500, 1134, 292, 515, 1143, 307, 530, 
       1150, 322, 545, 1155, 337, 560, 1158, 352, 1265, 575, 1172, 367, 590, 
       1185, 382, 605, 1195, 397, 620, 1203, 412, 635, 1209, 427, 650, 1213, 
       442, 665, 457, 1321, 680, 472}], 
      Line3DBox[{277, 682, 1322, 683, 278, 501, 1135, 293, 516, 1144, 308, 
       531, 1151, 323, 546, 1156, 338, 561, 1159, 353, 576, 1173, 1174, 368, 
       591, 1186, 383, 606, 1196, 398, 621, 1204, 413, 636, 1210, 428, 651, 
       1214, 443, 666, 1216, 458, 685, 686, 687}], 
      Line3DBox[{459, 667, 684, 1308, 444, 652, 1296, 429, 637, 1286, 414, 
       622, 1278, 399, 607, 1272, 384, 592, 1268, 369, 577, 1266, 354, 1160, 
       562, 1253, 339, 547, 1242, 324, 532, 1233, 309, 517, 1226, 294, 502, 
       1221, 279, 487, 1218, 250, 473, 681, 688}], 
      Line3DBox[{466, 674, 1315, 451, 659, 1302, 436, 644, 1291, 421, 629, 
       1282, 406, 614, 1275, 391, 599, 1270, 376, 584, 1267, 361, 569, 1259, 
       346, 554, 1247, 331, 539, 1237, 316, 524, 1229, 301, 509, 1223, 286, 
       494, 1219, 264, 480, 1217, 262}]}, 
     {GrayLevel[0.2], 
      Line3DBox[{690, 1004, 473, 689, 1113, 912, 691, 1114, 913, 692, 1115, 
       914, 693, 1116, 915, 694, 1117, 916, 695, 1118, 1010, 1217, 696, 1119, 
       917, 697, 1120, 918, 698, 1121, 919, 699, 1122, 920, 700, 1123, 921, 
       701, 1124, 922, 702, 1322, 1005, 923, 1006}], 
      Line3DBox[{704, 1011, 1218, 703, 488, 705, 1125, 924, 706, 1126, 925, 
       707, 1127, 926, 708, 1128, 927, 709, 1129, 1012, 1219, 710, 1013, 1220,
        711, 1130, 928, 712, 1131, 929, 713, 1132, 930, 714, 1133, 931, 715, 
       1134, 932, 716, 1135, 933, 717}], 
      Line3DBox[{719, 1014, 1221, 718, 1015, 1222, 720, 504, 721, 1136, 934, 
       722, 1137, 935, 723, 1138, 936, 724, 1139, 1016, 1223, 725, 1017, 1224,
        726, 1018, 1225, 727, 1140, 937, 728, 1141, 938, 729, 1142, 939, 730, 
       1143, 940, 731, 1144, 941, 732}], 
      Line3DBox[{734, 1019, 1226, 733, 1020, 1227, 735, 1021, 1228, 736, 520, 
       737, 1145, 942, 738, 1146, 943, 739, 1147, 1022, 1229, 740, 1023, 1230,
        741, 1024, 1231, 742, 1025, 1232, 743, 1148, 944, 744, 1149, 945, 745,
        1150, 946, 746, 1151, 947, 747}], 
      Line3DBox[{749, 1026, 1233, 748, 1027, 1234, 750, 1028, 1235, 751, 1029,
        1236, 752, 536, 753, 1152, 948, 754, 1153, 1030, 1237, 755, 1031, 
       1238, 756, 1032, 1239, 757, 1033, 1240, 758, 1034, 1241, 759, 1154, 
       949, 760, 1155, 950, 761, 1156, 951, 762}], 
      Line3DBox[{764, 1035, 1242, 763, 1036, 1243, 765, 1037, 1244, 766, 1038,
        1245, 767, 1039, 1246, 768, 552, 769, 1157, 1040, 1247, 770, 1041, 
       1248, 771, 1042, 1249, 772, 1043, 1250, 773, 1044, 1251, 774, 1045, 
       1252, 775, 1158, 952, 776, 1159, 953, 777}], 
      Line3DBox[{781, 1160, 954, 779, 1161, 955, 783, 1162, 956, 785, 1163, 
       957, 787, 1164, 958, 789, 1165, 959, 791, 1166, 569, 793, 1167, 960, 
       795, 1168, 961, 797, 1169, 962, 799, 1170, 963, 801, 1171, 964, 803, 
       1172, 965, 805, 1174, 967, 807}], 
      Line3DBox[{806, 966, 1173, 804, 1265, 1057, 802, 1264, 1056, 800, 1263, 
       1055, 798, 1262, 1054, 796, 1261, 1053, 794, 1260, 1052, 792, 1259, 
       568, 790, 1258, 1051, 788, 1257, 1050, 786, 1256, 1049, 784, 1255, 
       1048, 782, 1254, 1047, 778, 1253, 1046, 780}], 
      Line3DBox[{809, 1058, 1266, 808, 1175, 968, 810, 1176, 969, 811, 1177, 
       970, 812, 1178, 971, 813, 1179, 972, 814, 1180, 1059, 1267, 815, 585, 
       816, 1181, 973, 817, 1182, 974, 818, 1183, 975, 819, 1184, 976, 820, 
       1185, 977, 821, 1186, 978, 822}], 
      Line3DBox[{824, 1060, 1268, 823, 1061, 1269, 825, 1187, 979, 826, 1188, 
       980, 827, 1189, 981, 828, 1190, 982, 829, 1191, 1062, 1270, 830, 1063, 
       1271, 831, 601, 832, 1192, 983, 833, 1193, 984, 834, 1194, 985, 835, 
       1195, 986, 836, 1196, 987, 837}], 
      Line3DBox[{839, 1064, 1272, 838, 1065, 1273, 840, 1066, 1274, 841, 1197,
        988, 842, 1198, 989, 843, 1199, 990, 844, 1200, 1067, 1275, 845, 1068,
        1276, 846, 1069, 1277, 847, 617, 848, 1201, 991, 849, 1202, 992, 850, 
       1203, 993, 851, 1204, 994, 852}], 
      Line3DBox[{854, 1070, 1278, 853, 1071, 1279, 855, 1072, 1280, 856, 1073,
        1281, 857, 1205, 995, 858, 1206, 996, 859, 1207, 1074, 1282, 860, 
       1075, 1283, 861, 1076, 1284, 862, 1077, 1285, 863, 633, 864, 1208, 997,
        865, 1209, 998, 866, 1210, 999, 867}], 
      Line3DBox[{869, 1078, 1286, 868, 1079, 1287, 870, 1080, 1288, 871, 1081,
        1289, 872, 1082, 1290, 873, 1211, 1000, 874, 1212, 1083, 1291, 875, 
       1084, 1292, 876, 1085, 1293, 877, 1086, 1294, 878, 1087, 1295, 879, 
       649, 880, 1213, 1001, 881, 1214, 1002, 882}], 
      Line3DBox[{884, 1088, 1296, 883, 1089, 1297, 885, 1090, 1298, 886, 1091,
        1299, 887, 1092, 1300, 888, 1093, 1301, 889, 1215, 1094, 1302, 890, 
       1095, 1303, 891, 1096, 1304, 892, 1097, 1305, 893, 1098, 1306, 894, 
       1099, 1307, 895, 665, 896, 1216, 1003, 897}], 
      Line3DBox[{911, 1009, 685, 910, 1321, 1111, 909, 1320, 1110, 908, 1319, 
       1109, 907, 1318, 1108, 906, 1317, 1107, 905, 1316, 1106, 904, 1315, 
       1314, 1105, 903, 1313, 1104, 902, 1312, 1103, 901, 1311, 1102, 900, 
       1310, 1101, 899, 1309, 1100, 898, 1112, 1308, 1007, 1008}]}}},
   VertexNormals->CompressedData["
1:eJztyDENwCAABMBPCUK6YgIPSCBhxnoldGKrguZuvHvusa4krSYlx9PzyXvv
vffee++9995777333nvvvffee++9995777333nvvvffee++9995777333nvv
vffee++9995777333nvvvffee++9995777333vt//wtb0R7u
    "]],
  Axes->True,
  AxesLabel->{
    FormBox["\"x\"", TraditionalForm], 
    FormBox["\"y\"", TraditionalForm], 
    FormBox["\"z\"", TraditionalForm]},
  DisplayFunction->Identity,
  FaceGridsStyle->Automatic,
  Method->{},
  PlotRange->{{0., 8.}, {0., 9.999999285714285}, {0., 9.999999285714285}},
  PlotRangePadding->{
    Scaled[0.02], 
    Scaled[0.02], 
    Scaled[0.02]},
  Ticks->{Automatic, Automatic, Automatic}]], "Output",
 CellChangeTimes->{{3.6984267897442513`*^9, 3.698426832040329*^9}, 
   3.6984273114144726`*^9, 3.698427367393259*^9, 3.698427464772414*^9, 
   3.699087700196039*^9, 3.699200427791236*^9, 3.6992013160735683`*^9, 
   3.699202259666239*^9, 3.6992023304968023`*^9, 3.6992023700696225`*^9, 
   3.6992103690717196`*^9, 3.6998120218280478`*^9, 3.7014240605265565`*^9, 
   3.701425730728615*^9, 3.701426714572398*^9, 3.701428734115883*^9, 
   3.701445341305026*^9, 3.7014456780413523`*^9, 3.701446864642004*^9, 
   3.729931835995639*^9, 3.7300229585124187`*^9, 3.7322965030701017`*^9, 
   3.765562856206441*^9},ExpressionUUID->"73361e53-6966-43d2-9d30-\
c3f6b0ed87c7"]
}, Open  ]],

Cell[CellGroupData[{

Cell[BoxData[
 RowBox[{"Show", "[", 
  RowBox[{"sup3", ",", "c3", ",", "pl3"}], "]"}]], "Input",
 CellChangeTimes->{{3.698426793168687*^9, 
  3.698426817474972*^9}},ExpressionUUID->"4f8dc149-9d10-4956-8e05-\
62d2eceabccb"],

Cell[BoxData[
 Graphics3DBox[{GraphicsComplex3DBox[CompressedData["
1:eJyNnWmUVsW1QLuBZpJJxkYEGVqNiSLPoJKo9BXj0FEfKkaJiKIimLy0E4Y8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    "], {{
      {RGBColor[0, 0, 1], Opacity[0.5], EdgeForm[None], 
       StyleBox[GraphicsGroup3DBox[
         TagBox[{Polygon3DBox[CompressedData["
1:eJw1mgf8T9Ubx+/5nnubpF0aUlE2CWVUMkMkGaFUZDRQVmSWndUkhSKRaO+B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            "]], Polygon3DBox[CompressedData["
1:eJw1mnfgT9X/x88997w1jIwSWaGhndBWJElpoKElq0RlJyKzFEloCCVFGhq+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            "]], Polygon3DBox[CompressedData["
1:eJwt12fYFNUVAOBl+VZAxBI0QUwEQxOpSm9iImKhaCgq0jtI70WadJQmHaQo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            "]], Polygon3DBox[{{1093, 1139, 532, 335, 334, 734}}]},
          Annotation[#, "Charting`Private`Tag$2398#1"]& ]],
        Lighting->Automatic]}, {}, {}, {}, {}}, {{}, {}, {}, 
      {GrayLevel[0.2], 
       Line3DBox[{308, 717, 770, 523, 1449, 309, 718, 530, 329, 1342, 537, 
        344, 1347, 552, 359, 1354, 567, 374, 1363, 582, 389, 1374, 597, 1285, 
        404, 612, 1299, 419, 1389, 627, 434, 1393, 642, 449, 1399, 657, 464, 
        1407, 672, 479, 1417, 687, 494, 1429, 702, 509}], 
       Line3DBox[{310, 719, 771, 524, 1450, 311, 720, 531, 1253, 330, 538, 
        345, 1348, 553, 360, 1355, 568, 375, 1364, 583, 390, 1375, 598, 1286, 
        405, 613, 1300, 420, 628, 1311, 435, 1394, 643, 450, 1400, 658, 465, 
        1408, 673, 480, 1418, 688, 495, 1430, 703, 510}], 
       Line3DBox[{312, 233, 1110, 264, 234, 1254, 331, 539, 1260, 346, 554, 
        361, 1356, 569, 376, 1365, 584, 391, 1376, 599, 1287, 406, 614, 1301, 
        421, 629, 1312, 436, 644, 1321, 451, 1401, 659, 466, 1409, 674, 481, 
        1419, 689, 496, 1431, 704, 511}], 
       Line3DBox[{313, 721, 772, 722, 1248, 762, 723, 724, 1255, 332, 540, 
        1261, 347, 555, 1269, 362, 570, 377, 1366, 585, 392, 1377, 600, 1288, 
        407, 615, 1302, 422, 630, 1313, 437, 645, 1322, 452, 660, 1329, 467, 
        1410, 675, 482, 1420, 690, 497, 1432, 705, 512}], 
       Line3DBox[{314, 725, 773, 726, 1249, 763, 727, 728, 333, 541, 1262, 
        348, 556, 1270, 363, 571, 1276, 378, 586, 393, 1378, 601, 1289, 408, 
        616, 1303, 423, 631, 1314, 438, 646, 1323, 453, 661, 1330, 468, 676, 
        1335, 483, 1421, 691, 498, 1433, 706, 513}], 
       Line3DBox[{315, 729, 774, 1454, 731, 764, 732, 1445, 734, 334, 542, 
        1263, 349, 557, 1271, 364, 572, 1277, 379, 587, 1281, 394, 602, 1290, 
        409, 617, 1304, 424, 632, 1315, 439, 647, 1324, 454, 662, 1331, 469, 
        677, 1336, 484, 692, 1339, 499, 1434, 707, 514}], 
       Line3DBox[{318, 735, 776, 526, 1451, 319, 736, 1446, 533, 336, 1344, 
        544, 351, 1350, 559, 366, 1358, 574, 381, 1368, 589, 396, 1380, 604, 
        1291, 411, 619, 426, 1391, 634, 441, 1396, 649, 456, 1403, 664, 471, 
        1412, 679, 486, 1423, 694, 501, 1436, 709, 516}], 
       Line3DBox[{320, 737, 777, 527, 1452, 321, 738, 534, 1256, 337, 1345, 
        545, 352, 1351, 560, 367, 1359, 575, 382, 1369, 590, 397, 1381, 605, 
        1292, 412, 620, 1305, 427, 635, 442, 1397, 650, 457, 1404, 665, 472, 
        1413, 680, 487, 1424, 695, 502, 1437, 710, 517}], 
       Line3DBox[{322, 739, 778, 528, 1453, 323, 740, 535, 1257, 338, 546, 
        1264, 353, 1352, 561, 368, 1360, 576, 383, 1370, 591, 398, 1382, 606, 
        1293, 413, 621, 1306, 428, 636, 1316, 443, 651, 458, 1405, 666, 473, 
        1414, 681, 488, 1425, 696, 503, 1438, 711, 518}], 
       Line3DBox[{324, 741, 779, 742, 1250, 765, 743, 744, 1258, 339, 547, 
        1265, 354, 562, 1272, 369, 1361, 577, 384, 1371, 592, 399, 1383, 607, 
        1294, 414, 622, 1307, 429, 637, 1317, 444, 652, 1325, 459, 667, 474, 
        1415, 682, 489, 1426, 697, 504, 1439, 712, 519}], 
       Line3DBox[{325, 745, 780, 746, 1251, 766, 747, 748, 1259, 340, 548, 
        1266, 355, 563, 1273, 370, 578, 1278, 385, 1372, 593, 400, 1384, 608, 
        1295, 415, 623, 1308, 430, 638, 1318, 445, 653, 1326, 460, 668, 1332, 
        475, 683, 490, 1427, 698, 505, 1440, 713, 520}], 
       Line3DBox[{326, 749, 781, 750, 1252, 767, 751, 1447, 752, 341, 549, 
        1267, 356, 564, 1274, 371, 579, 1279, 386, 594, 1282, 401, 1385, 609, 
        1296, 416, 624, 1309, 431, 639, 1319, 446, 654, 1327, 461, 669, 1333, 
        476, 684, 1337, 491, 699, 506, 1441, 714, 521}], 
       Line3DBox[{327, 753, 782, 1455, 754, 768, 755, 1448, 756, 342, 550, 
        1268, 357, 565, 1275, 372, 580, 1280, 387, 595, 1283, 402, 610, 1297, 
        1298, 417, 625, 1310, 432, 640, 1320, 447, 655, 1328, 462, 670, 1334, 
        477, 685, 1338, 492, 700, 1340, 507, 758, 759, 760}], 
       Line3DBox[{508, 701, 757, 1428, 493, 686, 1416, 478, 671, 1406, 463, 
        656, 1398, 448, 641, 1392, 433, 626, 1388, 418, 611, 1386, 403, 1284, 
        596, 1373, 388, 581, 1362, 373, 566, 1353, 358, 551, 1346, 343, 536, 
        1341, 328, 529, 1442, 716, 307, 522, 769, 715, 761}], 
       Line3DBox[{515, 708, 1435, 500, 693, 1422, 485, 678, 1411, 470, 663, 
        1402, 455, 648, 1395, 440, 633, 1390, 425, 618, 1387, 410, 603, 1379, 
        395, 588, 1367, 380, 573, 1357, 365, 558, 1349, 350, 543, 1343, 335, 
        532, 1444, 733, 317, 525, 1443, 775, 730, 316}]}, 
      {GrayLevel[0.2], 
       Line3DBox[{783, 1134, 1135, 1107, 522, 1121, 1086, 1108, 1449, 993, 
        1122, 1088, 1109, 1450, 994, 1123, 1090, 1110, 995, 1124, 1239, 1248, 
        1111, 996, 1125, 1241, 1249, 1112, 997, 1126, 1454, 1092, 1113, 1137, 
        1443, 1127, 1094, 1114, 1451, 998, 1128, 1096, 1115, 1452, 999, 1129, 
        1098, 1116, 1453, 1000, 1130, 1242, 1250, 1117, 1001, 1131, 1244, 
        1251, 1118, 1002, 1132, 1246, 1252, 1119, 1003, 1133, 1455, 1101, 
        1120, 1136, 1004, 1102}], 
       Line3DBox[{785, 1085, 1138, 1442, 784, 1087, 530, 786, 1089, 1253, 
        1005, 787, 1091, 1254, 1006, 788, 1240, 1255, 1007, 789, 728, 1008, 
        790, 1445, 1093, 1139, 1444, 791, 1095, 1140, 1446, 792, 1097, 1256, 
        1009, 793, 1099, 1257, 1010, 794, 1243, 1258, 1011, 795, 1245, 1259, 
        1012, 796, 1447, 1100, 1013, 797, 1448, 1103, 1014, 798}], 
       Line3DBox[{800, 1141, 1341, 799, 1142, 1342, 801, 538, 802, 1260, 1015,
         803, 1261, 1016, 804, 1262, 1017, 805, 1263, 1143, 1343, 806, 1144, 
        1344, 807, 1145, 1345, 808, 1264, 1018, 809, 1265, 1019, 810, 1266, 
        1020, 811, 1267, 1021, 812, 1268, 1022, 813}], 
       Line3DBox[{815, 1146, 1346, 814, 1147, 1347, 816, 1148, 1348, 817, 554,
         818, 1269, 1023, 819, 1270, 1024, 820, 1271, 1149, 1349, 821, 1150, 
        1350, 822, 1151, 1351, 823, 1152, 1352, 824, 1272, 1025, 825, 1273, 
        1026, 826, 1274, 1027, 827, 1275, 1028, 828}], 
       Line3DBox[{830, 1153, 1353, 829, 1154, 1354, 831, 1155, 1355, 832, 
        1156, 1356, 833, 570, 834, 1276, 1029, 835, 1277, 1157, 1357, 836, 
        1158, 1358, 837, 1159, 1359, 838, 1160, 1360, 839, 1161, 1361, 840, 
        1278, 1030, 841, 1279, 1031, 842, 1280, 1032, 843}], 
       Line3DBox[{845, 1162, 1362, 844, 1163, 1363, 846, 1164, 1364, 847, 
        1165, 1365, 848, 1166, 1366, 849, 586, 850, 1281, 1167, 1367, 851, 
        1168, 1368, 852, 1169, 1369, 853, 1170, 1370, 854, 1171, 1371, 855, 
        1172, 1372, 856, 1282, 1033, 857, 1283, 1034, 858}], 
       Line3DBox[{862, 1284, 1035, 860, 1285, 1036, 864, 1286, 1037, 866, 
        1287, 1038, 868, 1288, 1039, 870, 1289, 1040, 872, 1290, 603, 874, 
        1291, 1041, 876, 1292, 1042, 878, 1293, 1043, 880, 1294, 1044, 882, 
        1295, 1045, 884, 1296, 1046, 886, 1298, 1048, 888}], 
       Line3DBox[{887, 1047, 1297, 885, 1385, 1184, 883, 1384, 1183, 881, 
        1383, 1182, 879, 1382, 1181, 877, 1381, 1180, 875, 1380, 1179, 873, 
        1379, 602, 871, 1378, 1178, 869, 1377, 1177, 867, 1376, 1176, 865, 
        1375, 1175, 863, 1374, 1174, 859, 1373, 1173, 861}], 
       Line3DBox[{890, 1185, 1386, 889, 1299, 1049, 891, 1300, 1050, 892, 
        1301, 1051, 893, 1302, 1052, 894, 1303, 1053, 895, 1304, 1186, 1387, 
        896, 619, 897, 1305, 1054, 898, 1306, 1055, 899, 1307, 1056, 900, 
        1308, 1057, 901, 1309, 1058, 902, 1310, 1059, 903}], 
       Line3DBox[{905, 1187, 1388, 904, 1188, 1389, 906, 1311, 1060, 907, 
        1312, 1061, 908, 1313, 1062, 909, 1314, 1063, 910, 1315, 1189, 1390, 
        911, 1190, 1391, 912, 635, 913, 1316, 1064, 914, 1317, 1065, 915, 
        1318, 1066, 916, 1319, 1067, 917, 1320, 1068, 918}], 
       Line3DBox[{920, 1191, 1392, 919, 1192, 1393, 921, 1193, 1394, 922, 
        1321, 1069, 923, 1322, 1070, 924, 1323, 1071, 925, 1324, 1194, 1395, 
        926, 1195, 1396, 927, 1196, 1397, 928, 651, 929, 1325, 1072, 930, 
        1326, 1073, 931, 1327, 1074, 932, 1328, 1075, 933}], 
       Line3DBox[{935, 1197, 1398, 934, 1198, 1399, 936, 1199, 1400, 937, 
        1200, 1401, 938, 1329, 1076, 939, 1330, 1077, 940, 1331, 1201, 1402, 
        941, 1202, 1403, 942, 1203, 1404, 943, 1204, 1405, 944, 667, 945, 
        1332, 1078, 946, 1333, 1079, 947, 1334, 1080, 948}], 
       Line3DBox[{950, 1205, 1406, 949, 1206, 1407, 951, 1207, 1408, 952, 
        1208, 1409, 953, 1209, 1410, 954, 1335, 1081, 955, 1336, 1210, 1411, 
        956, 1211, 1412, 957, 1212, 1413, 958, 1213, 1414, 959, 1214, 1415, 
        960, 683, 961, 1337, 1082, 962, 1338, 1083, 963}], 
       Line3DBox[{965, 1215, 1416, 964, 1216, 1417, 966, 1217, 1418, 967, 
        1218, 1419, 968, 1219, 1420, 969, 1220, 1421, 970, 1339, 1221, 1422, 
        971, 1222, 1423, 972, 1223, 1424, 973, 1224, 1425, 974, 1225, 1426, 
        975, 1226, 1427, 976, 699, 977, 1340, 1084, 978}], 
       Line3DBox[{992, 1106, 758, 991, 1441, 1238, 990, 1440, 1237, 989, 1439,
         1236, 988, 1438, 1235, 987, 1437, 1234, 986, 1436, 1233, 985, 1435, 
        1434, 1232, 984, 1433, 1231, 983, 1432, 1230, 982, 1431, 1229, 981, 
        1430, 1228, 980, 1429, 1227, 979, 1247, 1428, 1104, 1105}]}}},
    VertexNormals->CompressedData["
1:eJztm3lcTVsbx08DStKlAckYpUyZSTeRSF1TydugDKGrS6TBEGXqpIESN4pr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     "]], {{}, {}, 
    TagBox[
     {RGBColor[0, 0, 0], Thickness[0.02], Line3DBox[CompressedData["
1:eJxFz31Q0wUcBvDNAY6xgA1F2GAvjFyMN5enQBq/byalLCcpZIEITB0JieI5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       "]]},
     Annotation[#, "Charting`Private`Tag$2508#1"]& ]}, 
   GraphicsComplex3DBox[CompressedData["
1:eJyNnH2w1FUZgJePe7mYKEJcUCwV1nHyAx1HGZtUKEFbsSE100TULKWZWlNJ
mkzEjzRM1GYpx7KBNMzJxjHL2Qtik1NqQ5nCtcyZVUkjReQjEMQvuM1cz3N2
eF7OmP/c2cfD7nue/e3v4z3veQ+66JtnXDywUqkc2lGpDKrw3/DJf5lwx3/u
337fifyFD3zk1r5LW69OMn/uopWTLm29FfhZW9fPa1QHTDaf1LN5db3VGfgn
rnprUq2xZ+A/WLRjeqO6T+B9/f+NDPxbXx74m3qrO/DX/zj4wlZz38DPrw4Z
XmvsH/izNw59rFk/IPAlb3Yc16geFPgF/e8zLvD9zupa29c3PnBe49WezfFs
jmdzPJvj2RzP5ng2x7M5ns3xbI5nczyb49kcz+Z4xp89m/PaHM/meDbHszme
zfFsjmdzPJvj2RzP5ng2x7M5ns3xjCd7Nuffm/PaHM/meDbHszmezfFsjmdz
PJvj2RzP5ng2x7M5nvFhz+Z4Nud9zXltjmdzPJvj2RzP5ng2x7M5ns3xbI5n
czyb45l527M5ns3xbM7nmfPaHM/meDbHszmezfFsjmdzPJvj2RzP5nhmfvZs
jmdzPJvj2Zw4zHltjmdzPJvj2RzP5ng2x7M5ns3xbI5n5mHP5ng2x7M5ns3x
bE585rw2x7M5ns3xbI5nczyb49kcz+Z4Jl57NsezOZ7N8WyOZ3M8mxO3Oa/N
8WyOZ3M8m+PZHM/meDbHM3HZszmezfFsjmdzPJvj2RzP5szHnNfmeDbHszme
zfFsjmdzPPP59myOZ3M8m+PZHM/meDbHszmezZmnOa/N8WyOZ3M8m+PZHM98
jj2b49kcz+Z4NsezOZ7N8WyOZ3M8mzN/c16b49kcz+Z4Nscz72fP5ng2x7M5
ns3xbI5nczyb49kcz+Z4NseLOa/N8WyOZ3M88+/s2RzP5ng2x7M5ns3xbI5n
czyb49kcz+Z4NseXOa/N8WyOZ/6/PZvj2RzP5ng2x7M5ns3xbI5nczyb49kc
z+Z4NsejOa/NZ3yta95lrecm8df+zR99dMjV1dr4yea8rzmv+Xd+f3Nel3gp
fuchGW/O+JIff+5eT+yYO7v15CT+wt/o6jq6sWT8ZHNe8/893pz4Su/v+BlX
it/vz/hS/tafy7hS/P7cW8+5ZfqAypqQv71wwNO3Vypbw+fCPf6qLz737Upl
ZxgPD/nPszYdWakMjvnnxD3+7GvfHF+pDA3j4R6/5v7toyuVvcJ4uMcvXbej
o3JtzOfvLOTzGe/3Ybz5lFED3+2bF/P/8JD3PnTw1r6+MXHdIXGPXzmpc2Pf
vLFhPNzju/uPg4+F8XCPn3Bsx+a+SQeG8XCPX9X/uXE9Ah7y9qcOeaPvD3Gd
Au7xHLfO93J8mnMchvxwOt7MOa7MOX7MOR7MOR7M+d5DHj59v+Z8j+Z8X+Z8
L+b4D/n85Nkcz8734tkczyE/nDyb49kcz+Z4NsezOZ5DHj55NsezOZ7N8WyO
55DPT57N8ex8L57N8Rzyw8mzOZ7N8WyOZ3M8m+M55OGTZ3M8m+PZHM/meA75
/OTZHM/O9+LZHM8hP5w8m+PZHM/meDbHszmeQx4+eTbHszmezfFsjueQz0+e
zfHsfC+ezfEc8sPJszmezfFsjmdzPJvjOeThk2dzPJvj2RzP5ngO+fzk2RzP
zvfi2RzPIT+cPJvj2RzP5ng2x7M5ns3xbI5nczyb49kcz+Z4Nsez8714Nsdz
yA8nz+Z4NsezOZ7N8WyO55CHT57N8WyOZ3M8m+M55POTZ3M8O9+LZ3M8h/xw
8myOZ3M8m+PZHM/meA55+OTZHM/meDbHszmeQz4/eTbHs/O9eDbHc8gPJ8/m
eDbHszmezfFsjueQh0+ezfFsjmdzPJvjOeTzk2dzPDvfi2dzPIf8cPJsjmdz
PJvj2RzP5ngOefjk2RzP5ng2x7M5nkM+P3k2x7PzvXg2x3PIDyfP5ng2x7M5
ns3xbI7nkIdPns3xbI5nczyb4znk85Nnczw734tnczyH/HDybI5nczyb49kc
z+Z4Dnn45Nkcz+Z4NsezOZ5DPj95Nsez83V4NsezOZ7N8WyOZ3M8m+PZHM8h
D588m+PZHM/meDbHcynPyV/77N4+f/HC6sshXzT1sGGrpzVeCPmi85Qnz/dv
9w464MfVVSFfNFJ5Wnyeds3a736n1Qz5oneX7T5/eL3ix+dQxY/PquLH5zGK
H59TFD8+Fz++a/x43P/oZ2b11LcFn/y1z1+ufKqn1tgSfK5f/NfVjerm4PMr
L/1o76X1TcHnxqsbF5zaWB98XjH2hw++0Hw9+Owt5N+6FT8+z1X8+Fyk+PH5
iuLH5zTFj8+Vip/zwOmKH89vz1g/sqdeycczfo/5/j+n99T7gmf+2vNjB/9j
ca3xfvDcue3ZPzeq7wXPpz3eu6nVfCd4vm3hqtEH194Ons8s5N+2KX48T1D8
eL5C8eO5qfjx/O7WXePH8wmKH8/XKH48v/LxzbMb1Zh/+95N/x3SU+/IHL+H
bNx0V6s5OPO8rpH+2nP99xv/VK0NyhzPww/eeHatMTBzPD+0YMMb9VbMc55Q
yL+tVvx4vk7x43m84sfzE4ofz7MUP567FD+ef6X48fzUy9uerbc+EjxfWts2
q1Ftczzv89DW95r1PYLnh8dsvb3VHBo889ee331tS0+11hU83zV9y7RaY0jw
fEgh/7ZC8eP564ofz8MUP54fVPx4Pl3x43mL4sfzQsWP5xln7PhJdcXw4Pnw
zh3/btbbHM87l71/RG1Em+N5UevtTc363sHzp096+4ZWc6/gmb/2fOOI7b+u
1oYFzzcX8m/nKn48H6b48fy+4sfzTxU/nj+l+PH8ouLH81zFj+eVv+urNZbE
/Ns9s/oWVmsx/zZ7bN+LzQ0jgucpz+w8pNZoczx337Dz8tbENsfvaxN3Lq+3
Yp6Tv/bMX3t+RvHj+eeKH8+XK348f0bx43mk4sfzGsWP54cVP56npnjtefSK
AVMa1Zh/W3v1gNuqK0YFz48cNeD5Zr3N8XzLmsq42og2x/N5d1a+0Wp+NHg+
4rRKsz6jzfE7u5B/m6L48TxK8eP5VcWP5x7Fj+f5ih/PX1L8OW+v+PH8yJzB
99dnxPzbghSvPc98adCJjSVtjucJjUHzq7U2z+flkwf1NjeMDp5XvTNw/1qj
zfF8zwMDL2lNbHM8ry3k35Yp/py3V/x4nqH48Xy44sfzjqm7xo/npxU/nhcp
fjwf+Xznua2JMf82YEHnknprbPDcm+K15w+e09scz1fe13F9dcV+wfPJMzqe
atbbHM+j9+7oro1oczzPLOTfJij+nLe/Zdf48bxS8eP5bsWP5ysUP55PUvx4
Hqn4c17ok0P3qI2I+bc5G7q+0Gp+PHg+5e6uRfUZbY7nMSlee17XX1/T5nhe
3l+P1OZ4XnDZkCebG2Kes7eQf/uF4s95e8WP36mKH8/dih/Pryl+PC9V/Hie
r/jz8/XfOma23joweP7gOGzznE++ruO++l1tjudT+r/fNsfzUSleex7T/723
OZ4H9A6dU10R85yl/NsCxZ89K348z1T8+D1Z8eN5guLHc7fix/OOVbvGj+fP
7uw8tvHVccHzUf2/xzbH876/7ZxXHdrmuc6q/zwT85zrLu5c0Xwg5jmfTfHa
8/J9O0fWzoh5zvML+bdTFD+ej1T8eB6j+PNxrPjz+ojix/MqxY/nZYo/18Ud
2TWs1hvzb66vw/PfXxlydmtOzL+5LhHP994x5O762Jh/u63/99WeL57npHjt
uZR/c/x4Xqf4c95e8eN5ueLP+WTFj98Fij+vnyrfhf8z5+6eP6R8F+9jD3k9
scA75AFeyhOW+gw4f8g4c+qozKn7MadOxZy6CnPqAMxZtzZnndWcdUFz1rHM
WXcx53xqTl7bHJ/OE+LTHJ/m+DTHpzk+zfFpjk9zfJrj0xyf5vg0x6c5Ps05
js3xHPKBybM5ns3xbI5nczyb49kcz+Z4NsezOZ7N8WyOZ3M8m+PZPPchUd4s
9y0Rz/1JxHN/EvHcn0Q89ycRz/1JxPFsnvuTiOf+JOK5P4l47k8invuTiOf+
JOK5P4k4np3fw7M5ns3xbI5nczyb49kcz+Z4NsezOZ7N8WyOZ3M8m+PZHM/O
4+HZHM/meDbHszmezfFsjmdzPJvj2RzP5ng2x7M5ns3xbI5n5+vgztfh3+Ph
Hs/34vFwj+f78ni4x/M9ejzc4/l+PR7u8XzvHg/3eI4Hj4d7PMeJx8M9nuPH
4+Eez3Hl8XCP53jzeLjHcxx6PNzjOT49Hu7xHLceD/d4jlvnOTk+zTkOzTne
zDmuzDl+Qn41HSfmHA/mfO/mfL/mfI/mfF/mfC/m+DfHs3nuQ6J8Zu5bIp77
k4jn/iTiuT+JeO5PIp77k4jj2Tz3JxHP/UnEc38S8dyfRDz3JxHP/UnEc38S
cTw7b4lnczyb49kcz+Z4NsezOZ7N8WyOZ3M8m+PZHM/meDbHszmenZ/Eszme
zfFsjmdzPJvj2RzP5ng2x7M5ns3xbI5nczyb49kcz85D4tkcz+Z4NsezOZ7N
8WyOZ3M8m+PZHM/meDbHszmezfFsjmfnG/FsjmdzPJvj2RzP5ng2x3PIiybP
5ng2x7M5ns3xbI5nczyb5/5Fyvvl/kXiuX+ReO5fJJ77F4nn/kXi+Ax5SPoX
ief+ReK5f5F47l8knvsXief+ReK5f5E49XzO11F/Zk69lDn1PebUo5izrm/O
OrQ566YhD5nWycxZlzJnHSXkJ1O+2Jx6O+fZqA8zp57JnPobc9bXzStpPdj8
yrT+F3harzJnfcic9Qxz6tuc76Iey5z6IXPWrc1ZZw15vLSuZs46ljnrLubU
hzmPRD2TOeu75qxHhnxUWn8yz/0rxKmXcr6FdU1z1uHMWTcKeSHqapRnYD3J
nDpjP8f1FvIDZxbyACcUnvcPKTzX31x4fp9deO5eW3i+nll4ju79kOfl3T+n
x+df1pn+3+ffUen86ec16l/Nqdc0p77QnHo4c+pdzKnPMKeewJz1b3PWa8Nz
aDpPhs9N50k/T12fzpPm1E2aU+cXnitTfUl4rkznw8DT+dCc9WZz1kfNx6Xz
oZ9fqO80px7RnPoMc+oJzFn/Ds9l6bxnTl2p7/+pgzSnXsGc9XVz1oPNj0/n
t3B/ns5j4X47ncfMWT8O96Vp/djXZX6n5vxOzVlv9v1P7pMpzvqxOXWffv9R
aT+Gr6fUg5p3p/o/85PS/g1f19hHYU5dqTl1kObU7Znnvky6frFPw5x9BebU
s5pTf2lOveDu14/GBj477VfxdZB9I+bsczCnLt+cultz6kTNqWs0pw4vXN9T
3VX43LRfyNdr9r2YT0v7HMzZVxCu+6mO3Jx6YnPqX82p1zSnvtCcejhz6rfM
P59+777+ss/HnH0p5uyjMKfu3/ymVOdtTr2vOfWp5tRTmlP/Z069mjn1VeY3
pvOOr7/Uc5vvmc5Lvq6dQ18Oceq/zalXDvnhdL7y9ehn6Xxlzj4fc+rLzamH
Nqd+1/y4dB7zdepf6Txmzv4i8yfTececendz6rPNqSc2p/7VfHI6v/n6+Ll0
fjNnH5T5Jen8Zj49nXfMqdc3p77cfGeqhzanftf81XTeM78z7TP0db83nffM
j0/nPXP2I5m/mc575i9Qfy7O/gRz6unNqf82p17ZnPpac+pBzc9I5z3fh8xN
5z1z9l+Zs1/I/Op03jNnP0bIj6XzoTn17ubUZ5tTT2xO/as59ZrmD1BnKM59
le/TuO8JdX3p927Oddqc65Y552vzKYV8F+dTc85r5pwvzPldmXM8lTyEerzk
wRwP5ngwx0Oouyvku5hvuE9O8zVnvubMN9TvpeOjNF/fDzNfc+ZrznzNmZc5
8zJnXubMK9TLpXmV4vf9c+6TKZ77YYp3F/JjuT+keO4D6Xoz+j0W4vH9MPGY
TyjkzfjcUH+VPrf0/uH+tpBP433M+V05L8RxZp73XbrOJ3kxJ25z4jBnXqV9
f6HeJv0ezTluzTkezPlezPEZ6nAKeTZ4yafvb/EZ6k/YXymOT3N8mhNfaR+f
Od7M8RbyZvRhEMdbqFdJfkoeQn0I/fTEcz898dxPTzz30yvspzPPffDEcx88
8dwHz3k8+uAV5uX7f+ZlzrzMmVdpn5o58ZvnPg+ux0jxl+L0/T9xmhNnaT+X
ed5n5LqFFE/pc31/zueW9jGF9fr0/qX3Ke3HMef3H9b10mtfxxlvzu/EnPfx
dZNxYZ0rvb857x/q3tPxap73m+g6mPtvi+c+2+K5T7Xzb/Sddn04/aXFcx9p
ceL0dZM4zYkz1Gmn9zUnfnPiD3XXKX5z4g/5tHR8mzMvX8eZlznzCnXRaV7m
fJ458zVnvqH+Oc3XnPmaM19zfoel+xZff/FgjodQh5w8mOPBnDhK/QrM8RPq
gZMfc/yY48ccP+Z5P2yhL4Gvv8Rvnvvi6vp1YSH/lvvTiuf+tOK5H4WuL7y/
+VWF/Bufa87nhrrEFIc58fj6kvtuiRNPqAMs5N+I0zz3d3JdX4rTnLjNid/X
L+I3J/5QX0c/BPGzC/k35mWe9927jo5+SuLMy5x5mjNfX3+ZrznzDXVuab7m
zDfk2Qr5NzyY4yHUuSUP5ngIebbkwRwv5rd+SH7JPPcB9jojfYDFcx858dwH
WHxpIS+X+wCL5z7Armdjn7vXN5M389wHWDz3ARbPfYAL+3Px+j+lmWGL
    "], {{
      {RGBColor[0, 1, 1], Opacity[0.5], EdgeForm[None], 
       StyleBox[GraphicsGroup3DBox[
         TagBox[{Polygon3DBox[CompressedData["
1:eJwtmXfgV9Mbx++553zsEJKQJGRVUtJPGaGhkC0lKQ0kSWRklKZRSZlFhbJn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            "]], Polygon3DBox[CompressedData["
1:eJxNmnncVVMbhvdeayWKDM1zUVSGzGROISoSkVAkUiikkilUKpW5kJAGY4NI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            "]], Polygon3DBox[CompressedData["
1:eJwt13f8luMaAPD3977vL5qi1KGt4TSdNNA8DQkNDeW0HC2rgYaOljSEEi0h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            "]]},
          Annotation[#, "Charting`Private`Tag$2527#1"]& ]],
        Lighting->Automatic]}, {}, {}, {}, {}}, {{}, {}, {}, 
      {GrayLevel[0.2], 
       Line3DBox[{251, 474, 1113, 252, 488, 280, 1222, 503, 295, 1227, 518, 
        310, 1234, 533, 325, 1243, 548, 340, 1254, 563, 1161, 355, 578, 1175, 
        370, 1269, 593, 385, 1273, 608, 400, 1279, 623, 415, 1287, 638, 430, 
        1297, 653, 445, 1309, 668, 460}], 
       Line3DBox[{253, 475, 1114, 254, 489, 1125, 281, 504, 296, 1228, 519, 
        311, 1235, 534, 326, 1244, 549, 341, 1255, 564, 1162, 356, 579, 1176, 
        371, 594, 1187, 386, 1274, 609, 401, 1280, 624, 416, 1288, 639, 431, 
        1298, 654, 446, 1310, 669, 461}], 
       Line3DBox[{255, 476, 1115, 256, 490, 1126, 282, 505, 1136, 297, 520, 
        312, 1236, 535, 327, 1245, 550, 342, 1256, 565, 1163, 357, 580, 1177, 
        372, 595, 1188, 387, 610, 1197, 402, 1281, 625, 417, 1289, 640, 432, 
        1299, 655, 447, 1311, 670, 462}], 
       Line3DBox[{257, 477, 1116, 258, 491, 1127, 283, 506, 1137, 298, 521, 
        1145, 313, 536, 328, 1246, 551, 343, 1257, 566, 1164, 358, 581, 1178, 
        373, 596, 1189, 388, 611, 1198, 403, 626, 1205, 418, 1290, 641, 433, 
        1300, 656, 448, 1312, 671, 463}], 
       Line3DBox[{259, 478, 1117, 260, 492, 1128, 284, 507, 1138, 299, 522, 
        1146, 314, 537, 1152, 329, 552, 344, 1258, 567, 1165, 359, 582, 1179, 
        374, 597, 1190, 389, 612, 1199, 404, 627, 1206, 419, 642, 1211, 434, 
        1301, 657, 449, 1313, 672, 464}], 
       Line3DBox[{261, 479, 1118, 263, 493, 1129, 285, 508, 1139, 300, 523, 
        1147, 315, 538, 1153, 330, 553, 1157, 345, 568, 1166, 360, 583, 1180, 
        375, 598, 1191, 390, 613, 1200, 405, 628, 1207, 420, 643, 1212, 435, 
        658, 1215, 450, 1314, 673, 465}], 
       Line3DBox[{265, 481, 1119, 266, 1220, 495, 287, 1224, 510, 302, 1230, 
        525, 317, 1238, 540, 332, 1248, 555, 347, 1260, 570, 1167, 362, 585, 
        377, 1271, 600, 392, 1276, 615, 407, 1283, 630, 422, 1292, 645, 437, 
        1303, 660, 452, 1316, 675, 467}], 
       Line3DBox[{267, 482, 1120, 268, 496, 1130, 288, 1225, 511, 303, 1231, 
        526, 318, 1239, 541, 333, 1249, 556, 348, 1261, 571, 1168, 363, 586, 
        1181, 378, 601, 393, 1277, 616, 408, 1284, 631, 423, 1293, 646, 438, 
        1304, 661, 453, 1317, 676, 468}], 
       Line3DBox[{269, 483, 1121, 270, 497, 1131, 289, 512, 1140, 304, 1232, 
        527, 319, 1240, 542, 334, 1250, 557, 349, 1262, 572, 1169, 364, 587, 
        1182, 379, 602, 1192, 394, 617, 409, 1285, 632, 424, 1294, 647, 439, 
        1305, 662, 454, 1318, 677, 469}], 
       Line3DBox[{271, 484, 1122, 272, 498, 1132, 290, 513, 1141, 305, 528, 
        1148, 320, 1241, 543, 335, 1251, 558, 350, 1263, 573, 1170, 365, 588, 
        1183, 380, 603, 1193, 395, 618, 1201, 410, 633, 425, 1295, 648, 440, 
        1306, 663, 455, 1319, 678, 470}], 
       Line3DBox[{273, 485, 1123, 274, 499, 1133, 291, 514, 1142, 306, 529, 
        1149, 321, 544, 1154, 336, 1252, 559, 351, 1264, 574, 1171, 366, 589, 
        1184, 381, 604, 1194, 396, 619, 1202, 411, 634, 1208, 426, 649, 441, 
        1307, 664, 456, 1320, 679, 471}], 
       Line3DBox[{275, 486, 1124, 276, 500, 1134, 292, 515, 1143, 307, 530, 
        1150, 322, 545, 1155, 337, 560, 1158, 352, 1265, 575, 1172, 367, 590, 
        1185, 382, 605, 1195, 397, 620, 1203, 412, 635, 1209, 427, 650, 1213, 
        442, 665, 457, 1321, 680, 472}], 
       Line3DBox[{277, 682, 1322, 683, 278, 501, 1135, 293, 516, 1144, 308, 
        531, 1151, 323, 546, 1156, 338, 561, 1159, 353, 576, 1173, 1174, 368, 
        591, 1186, 383, 606, 1196, 398, 621, 1204, 413, 636, 1210, 428, 651, 
        1214, 443, 666, 1216, 458, 685, 686, 687}], 
       Line3DBox[{459, 667, 684, 1308, 444, 652, 1296, 429, 637, 1286, 414, 
        622, 1278, 399, 607, 1272, 384, 592, 1268, 369, 577, 1266, 354, 1160, 
        562, 1253, 339, 547, 1242, 324, 532, 1233, 309, 517, 1226, 294, 502, 
        1221, 279, 487, 1218, 250, 473, 681, 688}], 
       Line3DBox[{466, 674, 1315, 451, 659, 1302, 436, 644, 1291, 421, 629, 
        1282, 406, 614, 1275, 391, 599, 1270, 376, 584, 1267, 361, 569, 1259, 
        346, 554, 1247, 331, 539, 1237, 316, 524, 1229, 301, 509, 1223, 286, 
        494, 1219, 264, 480, 1217, 262}]}, 
      {GrayLevel[0.2], 
       Line3DBox[{690, 1004, 473, 689, 1113, 912, 691, 1114, 913, 692, 1115, 
        914, 693, 1116, 915, 694, 1117, 916, 695, 1118, 1010, 1217, 696, 1119,
         917, 697, 1120, 918, 698, 1121, 919, 699, 1122, 920, 700, 1123, 921, 
        701, 1124, 922, 702, 1322, 1005, 923, 1006}], 
       Line3DBox[{704, 1011, 1218, 703, 488, 705, 1125, 924, 706, 1126, 925, 
        707, 1127, 926, 708, 1128, 927, 709, 1129, 1012, 1219, 710, 1013, 
        1220, 711, 1130, 928, 712, 1131, 929, 713, 1132, 930, 714, 1133, 931, 
        715, 1134, 932, 716, 1135, 933, 717}], 
       Line3DBox[{719, 1014, 1221, 718, 1015, 1222, 720, 504, 721, 1136, 934, 
        722, 1137, 935, 723, 1138, 936, 724, 1139, 1016, 1223, 725, 1017, 
        1224, 726, 1018, 1225, 727, 1140, 937, 728, 1141, 938, 729, 1142, 939,
         730, 1143, 940, 731, 1144, 941, 732}], 
       Line3DBox[{734, 1019, 1226, 733, 1020, 1227, 735, 1021, 1228, 736, 520,
         737, 1145, 942, 738, 1146, 943, 739, 1147, 1022, 1229, 740, 1023, 
        1230, 741, 1024, 1231, 742, 1025, 1232, 743, 1148, 944, 744, 1149, 
        945, 745, 1150, 946, 746, 1151, 947, 747}], 
       Line3DBox[{749, 1026, 1233, 748, 1027, 1234, 750, 1028, 1235, 751, 
        1029, 1236, 752, 536, 753, 1152, 948, 754, 1153, 1030, 1237, 755, 
        1031, 1238, 756, 1032, 1239, 757, 1033, 1240, 758, 1034, 1241, 759, 
        1154, 949, 760, 1155, 950, 761, 1156, 951, 762}], 
       Line3DBox[{764, 1035, 1242, 763, 1036, 1243, 765, 1037, 1244, 766, 
        1038, 1245, 767, 1039, 1246, 768, 552, 769, 1157, 1040, 1247, 770, 
        1041, 1248, 771, 1042, 1249, 772, 1043, 1250, 773, 1044, 1251, 774, 
        1045, 1252, 775, 1158, 952, 776, 1159, 953, 777}], 
       Line3DBox[{781, 1160, 954, 779, 1161, 955, 783, 1162, 956, 785, 1163, 
        957, 787, 1164, 958, 789, 1165, 959, 791, 1166, 569, 793, 1167, 960, 
        795, 1168, 961, 797, 1169, 962, 799, 1170, 963, 801, 1171, 964, 803, 
        1172, 965, 805, 1174, 967, 807}], 
       Line3DBox[{806, 966, 1173, 804, 1265, 1057, 802, 1264, 1056, 800, 1263,
         1055, 798, 1262, 1054, 796, 1261, 1053, 794, 1260, 1052, 792, 1259, 
        568, 790, 1258, 1051, 788, 1257, 1050, 786, 1256, 1049, 784, 1255, 
        1048, 782, 1254, 1047, 778, 1253, 1046, 780}], 
       Line3DBox[{809, 1058, 1266, 808, 1175, 968, 810, 1176, 969, 811, 1177, 
        970, 812, 1178, 971, 813, 1179, 972, 814, 1180, 1059, 1267, 815, 585, 
        816, 1181, 973, 817, 1182, 974, 818, 1183, 975, 819, 1184, 976, 820, 
        1185, 977, 821, 1186, 978, 822}], 
       Line3DBox[{824, 1060, 1268, 823, 1061, 1269, 825, 1187, 979, 826, 1188,
         980, 827, 1189, 981, 828, 1190, 982, 829, 1191, 1062, 1270, 830, 
        1063, 1271, 831, 601, 832, 1192, 983, 833, 1193, 984, 834, 1194, 985, 
        835, 1195, 986, 836, 1196, 987, 837}], 
       Line3DBox[{839, 1064, 1272, 838, 1065, 1273, 840, 1066, 1274, 841, 
        1197, 988, 842, 1198, 989, 843, 1199, 990, 844, 1200, 1067, 1275, 845,
         1068, 1276, 846, 1069, 1277, 847, 617, 848, 1201, 991, 849, 1202, 
        992, 850, 1203, 993, 851, 1204, 994, 852}], 
       Line3DBox[{854, 1070, 1278, 853, 1071, 1279, 855, 1072, 1280, 856, 
        1073, 1281, 857, 1205, 995, 858, 1206, 996, 859, 1207, 1074, 1282, 
        860, 1075, 1283, 861, 1076, 1284, 862, 1077, 1285, 863, 633, 864, 
        1208, 997, 865, 1209, 998, 866, 1210, 999, 867}], 
       Line3DBox[{869, 1078, 1286, 868, 1079, 1287, 870, 1080, 1288, 871, 
        1081, 1289, 872, 1082, 1290, 873, 1211, 1000, 874, 1212, 1083, 1291, 
        875, 1084, 1292, 876, 1085, 1293, 877, 1086, 1294, 878, 1087, 1295, 
        879, 649, 880, 1213, 1001, 881, 1214, 1002, 882}], 
       Line3DBox[{884, 1088, 1296, 883, 1089, 1297, 885, 1090, 1298, 886, 
        1091, 1299, 887, 1092, 1300, 888, 1093, 1301, 889, 1215, 1094, 1302, 
        890, 1095, 1303, 891, 1096, 1304, 892, 1097, 1305, 893, 1098, 1306, 
        894, 1099, 1307, 895, 665, 896, 1216, 1003, 897}], 
       Line3DBox[{911, 1009, 685, 910, 1321, 1111, 909, 1320, 1110, 908, 1319,
         1109, 907, 1318, 1108, 906, 1317, 1107, 905, 1316, 1106, 904, 1315, 
        1314, 1105, 903, 1313, 1104, 902, 1312, 1103, 901, 1311, 1102, 900, 
        1310, 1101, 899, 1309, 1100, 898, 1112, 1308, 1007, 1008}]}}},
    VertexNormals->CompressedData["
1:eJztyDENwCAABMBPCUK6YgIPSCBhxnoldGKrguZuvHvusa4krSYlx9PzyXvv
vffee++9995777333nvvvffee++9995777333nvvvffee++9995777333nvv
vffee++9995777333nvvvffee++9995777333vt//wtb0R7u
     "]]},
  Axes->True,
  AxesLabel->{
    FormBox["\"x\"", TraditionalForm], 
    FormBox["\"y\"", TraditionalForm], 
    FormBox["\"z\"", TraditionalForm]},
  DisplayFunction->Identity,
  FaceGridsStyle->Automatic,
  Method->{},
  PlotRange->{{0., 9.999999285714285}, {0., 9.999999285714285}, {0., 
   10.049874910380039`}},
  PlotRangePadding->{
    Scaled[0.02], 
    Scaled[0.02], 
    Scaled[0.02]},
  Ticks->{Automatic, Automatic, Automatic}]], "Output",
 CellChangeTimes->{{3.6984268177281513`*^9, 3.6984268350484514`*^9}, 
   3.698427311441471*^9, 3.69842736742328*^9, 3.69842746747933*^9, 
   3.6990877002380667`*^9, 3.6992004278823013`*^9, 3.699201316113588*^9, 
   3.6992022596992435`*^9, 3.6992023305358405`*^9, 3.69920237009865*^9, 
   3.6992103691027412`*^9, 3.6998120219436235`*^9, 3.7014240605565877`*^9, 
   3.701425730876718*^9, 3.701426714606419*^9, 3.701428734152913*^9, 
   3.7014453413590736`*^9, 3.701445678164441*^9, 3.7014468646790476`*^9, 
   3.729931836044249*^9, 3.730022958547597*^9, 3.732296503100719*^9, 
   3.765562856270402*^9},ImageCache->GraphicsData["CompressedBitmap", "\<\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\
\>"],ExpressionUUID->"752c27be-992c-483f-ba3a-5143feaadee0"]
}, Open  ]]
}, Open  ]]
}, Open  ]],

Cell[CellGroupData[{

Cell["Ejercicio 3:", "Section",
 CellChangeTimes->{{3.6984284555385404`*^9, 3.698428459300215*^9}}],

Cell["Escribir las ecuaciones vectorial y param\[EAcute]trica de:", "Text",
 CellChangeTimes->{{3.6984284692489195`*^9, 3.6984285041217875`*^9}, {
  3.6984287146116543`*^9, 3.6984287156854873`*^9}}],

Cell[CellGroupData[{

Cell["Inciso a): ", "Subsection",
 CellChangeTimes->{{3.6984287198844147`*^9, 3.6984287221820393`*^9}}],

Cell["\<\
La circunferencia de radio 3 y centro p(0,0,4) cuyo plano es perpendicular al \
eje \[OpenCurlyDoubleQuote]z\[CloseCurlyDoubleQuote] de dos formas distintas:\
\>", "Text",
 CellChangeTimes->{{3.6984287262299166`*^9, 3.698428769246575*^9}}],

Cell[CellGroupData[{

Cell[BoxData[
 RowBox[{"c4", "=", 
  RowBox[{"ParametricPlot3D", "[", 
   RowBox[{
    RowBox[{"{", 
     RowBox[{
      RowBox[{"3", "*", 
       RowBox[{"Cos", "[", "\[Theta]", "]"}]}], ",", 
      RowBox[{"3", "*", 
       RowBox[{"Sin", "[", "\[Theta]", "]"}]}], ",", "4"}], "}"}], ",", 
    RowBox[{"{", 
     RowBox[{"\[Theta]", ",", "0", ",", 
      RowBox[{"2", "\[Pi]"}]}], "}"}], ",", 
    RowBox[{"PlotStyle", "\[Rule]", 
     RowBox[{"{", 
      RowBox[{
       RowBox[{"Thickness", "[", "0.02", "]"}], ",", 
       RowBox[{"RGBColor", "[", 
        RowBox[{"0", ",", "0", ",", "0"}], "]"}]}], "}"}]}], ",", 
    RowBox[{"AxesLabel", "\[Rule]", 
     RowBox[{"{", 
      RowBox[{"\"\<x\>\"", ",", "\"\<y\>\"", ",", "\"\<z\>\""}], "}"}]}]}], 
   "]"}]}]], "Input",
 CellChangeTimes->{{3.698428772213616*^9, 
  3.698428873524099*^9}},ExpressionUUID->"b98c562a-31ba-4027-93d9-\
7d8a5a2e2b3a"],

Cell[BoxData[
 Graphics3DBox[{{}, {}, 
   TagBox[
    {RGBColor[0, 0, 0], Thickness[0.02], Line3DBox[CompressedData["
1:eJxF1XkwnHcYB/C1u/ZtsAgJG0JoVuqIpELd430rJELiiqUETeMOgpgmbYd0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      "]]},
    Annotation[#, "Charting`Private`Tag$2550#1"]& ]},
  Axes->True,
  AxesLabel->{
    FormBox["\"x\"", TraditionalForm], 
    FormBox["\"y\"", TraditionalForm], 
    FormBox["\"z\"", TraditionalForm]},
  DisplayFunction->Identity,
  FaceGridsStyle->Automatic,
  Method->{},
  PlotRange->{{-2.9999969467702967`, 2.999999999999975}, {-2.998835915154122, 
   2.999038344300353}, {0., 8.}},
  PlotRangePadding->{
    Scaled[0.02], 
    Scaled[0.02], 
    Scaled[0.02]},
  Ticks->{Automatic, Automatic, Automatic}]], "Output",
 CellChangeTimes->{{3.6984288239938765`*^9, 3.698428874504779*^9}, 
   3.6990877002730913`*^9, 3.699200427923331*^9, 3.6992013162322235`*^9, 
   3.6992022597322693`*^9, 3.6992023305868654`*^9, 3.699202370150724*^9, 
   3.699210369133763*^9, 3.699812022268589*^9, 3.701424060656667*^9, 
   3.7014257328681345`*^9, 3.701426714688484*^9, 3.701428734332032*^9, 
   3.701445341411108*^9, 3.701445678265515*^9, 3.7014468647340784`*^9, 
   3.729931836082501*^9, 3.730022958580236*^9, 3.732296503136127*^9, 
   3.7655628563041553`*^9},ExpressionUUID->"8410e648-3deb-4c00-ab02-\
ae819de3781d"]
}, Open  ]],

Cell[CellGroupData[{

Cell[BoxData[
 RowBox[{"pl4", "=", 
  RowBox[{"ParametricPlot3D", "[", 
   RowBox[{
    RowBox[{"{", 
     RowBox[{"u", ",", "v", ",", "4"}], "}"}], ",", 
    RowBox[{"{", 
     RowBox[{"u", ",", 
      RowBox[{"-", "10"}], ",", "10"}], "}"}], ",", 
    RowBox[{"{", 
     RowBox[{"v", ",", 
      RowBox[{"-", "10"}], ",", "10"}], "}"}], ",", 
    RowBox[{"PlotStyle", "\[Rule]", 
     RowBox[{"RGBColor", "[", 
      RowBox[{"0", ",", "1", ",", "1", ",", "0.5"}], "]"}]}], ",", 
    RowBox[{"AxesLabel", "\[Rule]", 
     RowBox[{"{", 
      RowBox[{"\"\<x\>\"", ",", "\"\<y\>\"", ",", "\"\<z\>\""}], "}"}]}]}], 
   "]"}]}]], "Input",
 CellChangeTimes->{{3.6984288434607196`*^9, 3.6984288609461365`*^9}, {
  3.698428903620928*^9, 
  3.698428909275951*^9}},ExpressionUUID->"d40fcfbc-3052-4c2b-bdc0-\
347d783f3cf7"],

Cell[BoxData[
 Graphics3DBox[GraphicsComplex3DBox[CompressedData["
1:eJyNnN/LZVUdh0enqTHndUa3qZln1Oa9DSRtvAkauhrRftBVV0GmBcHQRV2k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   "], {{
     {RGBColor[0, 1, 1], Opacity[0.5], EdgeForm[None], 
      StyleBox[GraphicsGroup3DBox[
        TagBox[{Polygon3DBox[CompressedData["
1:eJw1mXfgV+P7xs8zikpFRWbJyEo0jMgo82sLlVCkhYYVEVkVysoeyaaiyKqU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           "]], Polygon3DBox[CompressedData["
1:eJwtmnfgV9Mfxu8953wryYi2SguJykoqJQoNoyEjoRKlokIkIkQhFEVGUcjI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           "]], Polygon3DBox[CompressedData["
1:eJwt13fcFOURAODj7gBpNsCGKNJUUKQjXXqkKggkgJjQNFRDNVIsFJUuPYpg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           "]]},
         Annotation[#, "Charting`Private`Tag$2569#1"]& ]],
       Lighting->Automatic]}, {}, {}, {}, {}}, {{}, {}, {}, 
     {GrayLevel[0.2], 
      Line3DBox[{251, 474, 1107, 252, 488, 280, 1214, 503, 295, 1218, 518, 
       310, 1224, 533, 325, 1232, 548, 340, 1242, 563, 355, 1255, 578, 1160, 
       370, 593, 1173, 385, 1271, 608, 400, 1275, 623, 415, 1281, 638, 430, 
       1290, 653, 445, 1299, 668, 460}], 
      Line3DBox[{253, 475, 1108, 254, 489, 1120, 281, 504, 296, 1219, 519, 
       311, 1225, 534, 326, 1233, 549, 341, 1243, 564, 356, 1256, 579, 1161, 
       371, 594, 1174, 386, 609, 401, 1276, 624, 416, 1282, 639, 431, 1291, 
       654, 446, 1300, 669, 461}], 
      Line3DBox[{255, 476, 1109, 256, 490, 1121, 282, 505, 1131, 297, 520, 
       312, 1226, 535, 327, 1234, 550, 342, 1244, 565, 357, 1257, 580, 1162, 
       372, 595, 1175, 387, 610, 1185, 402, 625, 417, 1283, 640, 432, 1292, 
       655, 447, 1301, 670, 462}], 
      Line3DBox[{257, 477, 1110, 258, 491, 1122, 283, 506, 1132, 298, 521, 
       1140, 313, 536, 328, 1235, 551, 343, 1245, 566, 358, 1258, 581, 1163, 
       373, 596, 1176, 388, 611, 1186, 403, 626, 1194, 418, 1284, 641, 433, 
       1293, 656, 448, 1302, 671, 463}], 
      Line3DBox[{259, 478, 1111, 260, 492, 1123, 284, 507, 1133, 299, 522, 
       1141, 314, 537, 1148, 329, 552, 344, 1246, 567, 359, 1259, 582, 1164, 
       374, 597, 1177, 389, 612, 1187, 404, 627, 1195, 419, 642, 1201, 434, 
       657, 449, 1303, 672, 464}], 
      Line3DBox[{261, 479, 1112, 262, 493, 1124, 285, 508, 1134, 300, 523, 
       1142, 315, 538, 1149, 330, 553, 1154, 345, 568, 360, 1260, 583, 1165, 
       375, 598, 1178, 390, 613, 1188, 405, 628, 1196, 420, 643, 1202, 435, 
       658, 1206, 450, 673, 465}], 
      Line3DBox[{263, 480, 1113, 265, 494, 1125, 286, 509, 1135, 301, 524, 
       1143, 316, 539, 1150, 331, 554, 1155, 346, 569, 1158, 361, 584, 1166, 
       376, 599, 1179, 391, 614, 1189, 406, 629, 1197, 421, 644, 1203, 436, 
       659, 1207, 451, 674, 1209, 466}], 
      Line3DBox[{267, 482, 1114, 268, 1212, 496, 288, 1216, 511, 303, 1221, 
       526, 318, 1228, 541, 333, 1237, 556, 348, 1248, 571, 363, 1262, 586, 
       1167, 378, 601, 393, 1273, 616, 408, 1278, 631, 423, 1286, 646, 438, 
       1295, 661, 453, 1305, 676, 468}], 
      Line3DBox[{269, 483, 1115, 270, 497, 1126, 289, 512, 304, 1222, 527, 
       319, 1229, 542, 334, 1238, 557, 349, 1249, 572, 364, 1263, 587, 1168, 
       379, 602, 1180, 394, 617, 409, 1279, 632, 424, 1287, 647, 439, 1296, 
       662, 454, 1306, 677, 469}], 
      Line3DBox[{271, 484, 1116, 272, 498, 1127, 290, 513, 1136, 305, 528, 
       1144, 320, 1230, 543, 335, 1239, 558, 350, 1250, 573, 365, 1264, 588, 
       1169, 380, 603, 1181, 395, 618, 1190, 410, 633, 425, 1288, 648, 440, 
       1297, 663, 455, 1307, 678, 470}], 
      Line3DBox[{273, 485, 1117, 274, 499, 1128, 291, 514, 1137, 306, 529, 
       1145, 321, 544, 1151, 336, 1240, 559, 351, 1251, 574, 366, 1265, 589, 
       1170, 381, 604, 1182, 396, 619, 1191, 411, 634, 1198, 426, 649, 441, 
       1298, 664, 456, 1308, 679, 471}], 
      Line3DBox[{275, 486, 1118, 276, 500, 1129, 292, 515, 1138, 307, 530, 
       1146, 322, 545, 1152, 337, 560, 1156, 352, 1252, 575, 367, 1266, 590, 
       1171, 382, 605, 1183, 397, 620, 1192, 412, 635, 1199, 427, 650, 1204, 
       442, 665, 457, 1309, 680, 472}], 
      Line3DBox[{277, 682, 683, 1119, 278, 501, 1130, 293, 516, 1139, 308, 
       531, 1147, 323, 546, 1153, 338, 561, 1157, 353, 1253, 576, 368, 1267, 
       591, 1172, 383, 606, 1184, 398, 621, 1193, 413, 636, 1200, 428, 651, 
       1205, 443, 666, 1208, 458, 685, 686, 687}], 
      Line3DBox[{459, 667, 1310, 684, 444, 652, 1289, 429, 637, 1280, 414, 
       622, 1274, 399, 607, 1270, 384, 592, 1268, 369, 1159, 577, 1254, 354, 
       562, 1241, 339, 547, 1231, 324, 532, 1223, 309, 517, 1217, 294, 502, 
       1213, 279, 487, 1210, 250, 473, 681, 688}], 
      Line3DBox[{467, 675, 1304, 452, 660, 1294, 437, 645, 1285, 422, 630, 
       1277, 407, 615, 1272, 392, 600, 1269, 377, 585, 1261, 362, 570, 1247, 
       347, 555, 1236, 332, 540, 1227, 317, 525, 1220, 302, 510, 1215, 287, 
       495, 1211, 266, 481, 264}]}, 
     {GrayLevel[0.2], 
      Line3DBox[{690, 1001, 473, 689, 1107, 912, 691, 1108, 913, 692, 1109, 
       914, 693, 1110, 915, 694, 1111, 916, 695, 1112, 917, 696, 1113, 481, 
       697, 1114, 918, 698, 1115, 919, 699, 1116, 920, 700, 1117, 921, 701, 
       1118, 922, 702, 1106, 1119, 923, 1002}], 
      Line3DBox[{704, 1007, 1210, 703, 488, 705, 1120, 924, 706, 1121, 925, 
       707, 1122, 926, 708, 1123, 927, 709, 1124, 928, 710, 1125, 1008, 1211, 
       711, 1009, 1212, 712, 1126, 929, 713, 1127, 930, 714, 1128, 931, 715, 
       1129, 932, 716, 1130, 933, 717}], 
      Line3DBox[{719, 1010, 1213, 718, 1011, 1214, 720, 504, 721, 1131, 934, 
       722, 1132, 935, 723, 1133, 936, 724, 1134, 937, 725, 1135, 1012, 1215, 
       726, 1013, 1216, 727, 512, 728, 1136, 938, 729, 1137, 939, 730, 1138, 
       940, 731, 1139, 941, 732}], 
      Line3DBox[{734, 1014, 1217, 733, 1015, 1218, 735, 1016, 1219, 736, 520, 
       737, 1140, 942, 738, 1141, 943, 739, 1142, 944, 740, 1143, 1017, 1220, 
       741, 1018, 1221, 742, 1019, 1222, 743, 1144, 945, 744, 1145, 946, 745, 
       1146, 947, 746, 1147, 948, 747}], 
      Line3DBox[{749, 1020, 1223, 748, 1021, 1224, 750, 1022, 1225, 751, 1023,
        1226, 752, 536, 753, 1148, 949, 754, 1149, 950, 755, 1150, 1024, 1227,
        756, 1025, 1228, 757, 1026, 1229, 758, 1027, 1230, 759, 1151, 951, 
       760, 1152, 952, 761, 1153, 953, 762}], 
      Line3DBox[{764, 1028, 1231, 763, 1029, 1232, 765, 1030, 1233, 766, 1031,
        1234, 767, 1032, 1235, 768, 552, 769, 1154, 954, 770, 1155, 1033, 
       1236, 771, 1034, 1237, 772, 1035, 1238, 773, 1036, 1239, 774, 1037, 
       1240, 775, 1156, 955, 776, 1157, 956, 777}], 
      Line3DBox[{779, 1038, 1241, 778, 1039, 1242, 780, 1040, 1243, 781, 1041,
        1244, 782, 1042, 1245, 783, 1043, 1246, 784, 568, 785, 1158, 1044, 
       1247, 786, 1045, 1248, 787, 1046, 1249, 788, 1047, 1250, 789, 1048, 
       1251, 790, 1049, 1252, 791, 1050, 1253, 792}], 
      Line3DBox[{796, 1159, 957, 794, 1160, 958, 798, 1161, 959, 800, 1162, 
       960, 802, 1163, 961, 804, 1164, 962, 806, 1165, 963, 808, 1166, 585, 
       810, 1167, 964, 812, 1168, 965, 814, 1169, 966, 816, 1170, 967, 818, 
       1171, 968, 820, 1172, 969, 822}], 
      Line3DBox[{821, 1267, 1063, 819, 1266, 1062, 817, 1265, 1061, 815, 1264,
        1060, 813, 1263, 1059, 811, 1262, 1058, 809, 1261, 584, 807, 1260, 
       1057, 805, 1259, 1056, 803, 1258, 1055, 801, 1257, 1054, 799, 1256, 
       1053, 797, 1255, 1052, 793, 1254, 1051, 795}], 
      Line3DBox[{824, 1064, 1268, 823, 1173, 970, 825, 1174, 971, 826, 1175, 
       972, 827, 1176, 973, 828, 1177, 974, 829, 1178, 975, 830, 1179, 1065, 
       1269, 831, 601, 832, 1180, 976, 833, 1181, 977, 834, 1182, 978, 835, 
       1183, 979, 836, 1184, 980, 837}], 
      Line3DBox[{839, 1066, 1270, 838, 1067, 1271, 840, 609, 841, 1185, 981, 
       842, 1186, 982, 843, 1187, 983, 844, 1188, 984, 845, 1189, 1068, 1272, 
       846, 1069, 1273, 847, 617, 848, 1190, 985, 849, 1191, 986, 850, 1192, 
       987, 851, 1193, 988, 852}], 
      Line3DBox[{854, 1070, 1274, 853, 1071, 1275, 855, 1072, 1276, 856, 625, 
       857, 1194, 989, 858, 1195, 990, 859, 1196, 991, 860, 1197, 1073, 1277, 
       861, 1074, 1278, 862, 1075, 1279, 863, 633, 864, 1198, 992, 865, 1199, 
       993, 866, 1200, 994, 867}], 
      Line3DBox[{869, 1076, 1280, 868, 1077, 1281, 870, 1078, 1282, 871, 1079,
        1283, 872, 1080, 1284, 873, 1201, 995, 874, 1202, 996, 875, 1203, 
       1081, 1285, 876, 1082, 1286, 877, 1083, 1287, 878, 1084, 1288, 879, 
       649, 880, 1204, 997, 881, 1205, 998, 882}], 
      Line3DBox[{884, 1085, 1289, 883, 1086, 1290, 885, 1087, 1291, 886, 1088,
        1292, 887, 1089, 1293, 888, 657, 889, 1206, 999, 890, 1207, 1090, 
       1294, 891, 1091, 1295, 892, 1092, 1296, 893, 1093, 1297, 894, 1094, 
       1298, 895, 665, 896, 1208, 1000, 897}], 
      Line3DBox[{911, 1006, 685, 910, 1309, 1105, 909, 1308, 1104, 908, 1307, 
       1103, 907, 1306, 1102, 906, 1305, 1101, 905, 1304, 1100, 1209, 904, 
       673, 903, 1303, 1099, 902, 1302, 1098, 901, 1301, 1097, 900, 1300, 
       1096, 899, 1299, 1095, 898, 1310, 1004, 1003, 1005}]}}},
   VertexNormals->CompressedData["
1:eJztyFEJwCAABcCHwxrCkqyDEQS/rW6EJbCA3H3eO1afJUmryZOT/Xnvvffe
e++9995777333nvvvffee++9995777333nvvvffee++9995777333nvvvffe
e++9995777333nvvvffee++9995777333vs7/geJLxCu
    "]],
  Axes->True,
  AxesLabel->{
    FormBox["\"x\"", TraditionalForm], 
    FormBox["\"y\"", TraditionalForm], 
    FormBox["\"z\"", TraditionalForm]},
  DisplayFunction->Identity,
  FaceGridsStyle->Automatic,
  ImageSize->{382.08275696489085`, 414.1726356121111},
  Method->{},
  PlotRange->{{-9.999998571428572, 9.999998571428572}, {-9.999998571428572, 
   9.999998571428572}, {0., 8.}},
  PlotRangePadding->{
    Scaled[0.02], 
    Scaled[0.02], 
    Scaled[0.02]},
  Ticks->{Automatic, Automatic, Automatic},
  ViewPoint->{1.672581087603064, -1.5176995926917314`, 2.519734202596755},
  ViewVertical->{-0.14328337973679187`, 0.1487478359204689, 
   1.2230493510310372`}]], "Output",
 CellChangeTimes->{3.698428863285802*^9, 3.6984289095551643`*^9, 
  3.6990877003301325`*^9, 3.6992004279813795`*^9, 3.6992013162812557`*^9, 
  3.699202259776317*^9, 3.6992023306969447`*^9, 3.6992023702527547`*^9, 
  3.6992103691727905`*^9, 3.699812022345644*^9, 3.701424060705703*^9, 
  3.7014257330262485`*^9, 3.7014267147855487`*^9, 3.7014287344674892`*^9, 
  3.7014453415892315`*^9, 3.701445678377591*^9, 3.701446864834158*^9, 
  3.729931836129485*^9, 3.7300229586258507`*^9, 3.732296503178688*^9, 
  3.765562856342725*^9},ExpressionUUID->"0def2bf0-d3dc-4655-9345-\
d31b82c9c69b"]
}, Open  ]],

Cell[CellGroupData[{

Cell[BoxData[
 RowBox[{"Show", "[", 
  RowBox[{"c4", ",", "pl4"}], "]"}]], "Input",
 CellChangeTimes->{{3.6984288787618227`*^9, 
  3.698428884506958*^9}},ExpressionUUID->"a89ccbe8-4136-4c07-bedd-\
43ab18685028"],

Cell[BoxData[
 Graphics3DBox[{{{}, {}, 
    TagBox[
     {RGBColor[0, 0, 0], Thickness[0.02], Line3DBox[CompressedData["
1:eJxF1XkwnHcYB/C1u/ZtsAgJG0JoVuqIpELd430rJELiiqUETeMOgpgmbYd0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       "]]},
     Annotation[#, "Charting`Private`Tag$2550#1"]& ]}, 
   GraphicsComplex3DBox[CompressedData["
1:eJyNnN/LZVUdh0enqTHndUa3qZln1Oa9DSRtvAkauhrRftBVV0GmBcHQRV2k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    "], {{
      {RGBColor[0, 1, 1], Opacity[0.5], EdgeForm[None], 
       StyleBox[GraphicsGroup3DBox[
         TagBox[{Polygon3DBox[CompressedData["
1:eJw1mXfgV+P7xs8zikpFRWbJyEo0jMgo82sLlVCkhYYVEVkVysoeyaaiyKqU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            "]], Polygon3DBox[CompressedData["
1:eJwtmnfgV9Mfxu8953wryYi2SguJykoqJQoNoyEjoRKlokIkIkQhFEVGUcjI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            "]], Polygon3DBox[CompressedData["
1:eJwt13fcFOURAODj7gBpNsCGKNJUUKQjXXqkKggkgJjQNFRDNVIsFJUuPYpg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            "]]},
          Annotation[#, "Charting`Private`Tag$2569#1"]& ]],
        Lighting->Automatic]}, {}, {}, {}, {}}, {{}, {}, {}, 
      {GrayLevel[0.2], 
       Line3DBox[{251, 474, 1107, 252, 488, 280, 1214, 503, 295, 1218, 518, 
        310, 1224, 533, 325, 1232, 548, 340, 1242, 563, 355, 1255, 578, 1160, 
        370, 593, 1173, 385, 1271, 608, 400, 1275, 623, 415, 1281, 638, 430, 
        1290, 653, 445, 1299, 668, 460}], 
       Line3DBox[{253, 475, 1108, 254, 489, 1120, 281, 504, 296, 1219, 519, 
        311, 1225, 534, 326, 1233, 549, 341, 1243, 564, 356, 1256, 579, 1161, 
        371, 594, 1174, 386, 609, 401, 1276, 624, 416, 1282, 639, 431, 1291, 
        654, 446, 1300, 669, 461}], 
       Line3DBox[{255, 476, 1109, 256, 490, 1121, 282, 505, 1131, 297, 520, 
        312, 1226, 535, 327, 1234, 550, 342, 1244, 565, 357, 1257, 580, 1162, 
        372, 595, 1175, 387, 610, 1185, 402, 625, 417, 1283, 640, 432, 1292, 
        655, 447, 1301, 670, 462}], 
       Line3DBox[{257, 477, 1110, 258, 491, 1122, 283, 506, 1132, 298, 521, 
        1140, 313, 536, 328, 1235, 551, 343, 1245, 566, 358, 1258, 581, 1163, 
        373, 596, 1176, 388, 611, 1186, 403, 626, 1194, 418, 1284, 641, 433, 
        1293, 656, 448, 1302, 671, 463}], 
       Line3DBox[{259, 478, 1111, 260, 492, 1123, 284, 507, 1133, 299, 522, 
        1141, 314, 537, 1148, 329, 552, 344, 1246, 567, 359, 1259, 582, 1164, 
        374, 597, 1177, 389, 612, 1187, 404, 627, 1195, 419, 642, 1201, 434, 
        657, 449, 1303, 672, 464}], 
       Line3DBox[{261, 479, 1112, 262, 493, 1124, 285, 508, 1134, 300, 523, 
        1142, 315, 538, 1149, 330, 553, 1154, 345, 568, 360, 1260, 583, 1165, 
        375, 598, 1178, 390, 613, 1188, 405, 628, 1196, 420, 643, 1202, 435, 
        658, 1206, 450, 673, 465}], 
       Line3DBox[{263, 480, 1113, 265, 494, 1125, 286, 509, 1135, 301, 524, 
        1143, 316, 539, 1150, 331, 554, 1155, 346, 569, 1158, 361, 584, 1166, 
        376, 599, 1179, 391, 614, 1189, 406, 629, 1197, 421, 644, 1203, 436, 
        659, 1207, 451, 674, 1209, 466}], 
       Line3DBox[{267, 482, 1114, 268, 1212, 496, 288, 1216, 511, 303, 1221, 
        526, 318, 1228, 541, 333, 1237, 556, 348, 1248, 571, 363, 1262, 586, 
        1167, 378, 601, 393, 1273, 616, 408, 1278, 631, 423, 1286, 646, 438, 
        1295, 661, 453, 1305, 676, 468}], 
       Line3DBox[{269, 483, 1115, 270, 497, 1126, 289, 512, 304, 1222, 527, 
        319, 1229, 542, 334, 1238, 557, 349, 1249, 572, 364, 1263, 587, 1168, 
        379, 602, 1180, 394, 617, 409, 1279, 632, 424, 1287, 647, 439, 1296, 
        662, 454, 1306, 677, 469}], 
       Line3DBox[{271, 484, 1116, 272, 498, 1127, 290, 513, 1136, 305, 528, 
        1144, 320, 1230, 543, 335, 1239, 558, 350, 1250, 573, 365, 1264, 588, 
        1169, 380, 603, 1181, 395, 618, 1190, 410, 633, 425, 1288, 648, 440, 
        1297, 663, 455, 1307, 678, 470}], 
       Line3DBox[{273, 485, 1117, 274, 499, 1128, 291, 514, 1137, 306, 529, 
        1145, 321, 544, 1151, 336, 1240, 559, 351, 1251, 574, 366, 1265, 589, 
        1170, 381, 604, 1182, 396, 619, 1191, 411, 634, 1198, 426, 649, 441, 
        1298, 664, 456, 1308, 679, 471}], 
       Line3DBox[{275, 486, 1118, 276, 500, 1129, 292, 515, 1138, 307, 530, 
        1146, 322, 545, 1152, 337, 560, 1156, 352, 1252, 575, 367, 1266, 590, 
        1171, 382, 605, 1183, 397, 620, 1192, 412, 635, 1199, 427, 650, 1204, 
        442, 665, 457, 1309, 680, 472}], 
       Line3DBox[{277, 682, 683, 1119, 278, 501, 1130, 293, 516, 1139, 308, 
        531, 1147, 323, 546, 1153, 338, 561, 1157, 353, 1253, 576, 368, 1267, 
        591, 1172, 383, 606, 1184, 398, 621, 1193, 413, 636, 1200, 428, 651, 
        1205, 443, 666, 1208, 458, 685, 686, 687}], 
       Line3DBox[{459, 667, 1310, 684, 444, 652, 1289, 429, 637, 1280, 414, 
        622, 1274, 399, 607, 1270, 384, 592, 1268, 369, 1159, 577, 1254, 354, 
        562, 1241, 339, 547, 1231, 324, 532, 1223, 309, 517, 1217, 294, 502, 
        1213, 279, 487, 1210, 250, 473, 681, 688}], 
       Line3DBox[{467, 675, 1304, 452, 660, 1294, 437, 645, 1285, 422, 630, 
        1277, 407, 615, 1272, 392, 600, 1269, 377, 585, 1261, 362, 570, 1247, 
        347, 555, 1236, 332, 540, 1227, 317, 525, 1220, 302, 510, 1215, 287, 
        495, 1211, 266, 481, 264}]}, 
      {GrayLevel[0.2], 
       Line3DBox[{690, 1001, 473, 689, 1107, 912, 691, 1108, 913, 692, 1109, 
        914, 693, 1110, 915, 694, 1111, 916, 695, 1112, 917, 696, 1113, 481, 
        697, 1114, 918, 698, 1115, 919, 699, 1116, 920, 700, 1117, 921, 701, 
        1118, 922, 702, 1106, 1119, 923, 1002}], 
       Line3DBox[{704, 1007, 1210, 703, 488, 705, 1120, 924, 706, 1121, 925, 
        707, 1122, 926, 708, 1123, 927, 709, 1124, 928, 710, 1125, 1008, 1211,
         711, 1009, 1212, 712, 1126, 929, 713, 1127, 930, 714, 1128, 931, 715,
         1129, 932, 716, 1130, 933, 717}], 
       Line3DBox[{719, 1010, 1213, 718, 1011, 1214, 720, 504, 721, 1131, 934, 
        722, 1132, 935, 723, 1133, 936, 724, 1134, 937, 725, 1135, 1012, 1215,
         726, 1013, 1216, 727, 512, 728, 1136, 938, 729, 1137, 939, 730, 1138,
         940, 731, 1139, 941, 732}], 
       Line3DBox[{734, 1014, 1217, 733, 1015, 1218, 735, 1016, 1219, 736, 520,
         737, 1140, 942, 738, 1141, 943, 739, 1142, 944, 740, 1143, 1017, 
        1220, 741, 1018, 1221, 742, 1019, 1222, 743, 1144, 945, 744, 1145, 
        946, 745, 1146, 947, 746, 1147, 948, 747}], 
       Line3DBox[{749, 1020, 1223, 748, 1021, 1224, 750, 1022, 1225, 751, 
        1023, 1226, 752, 536, 753, 1148, 949, 754, 1149, 950, 755, 1150, 1024,
         1227, 756, 1025, 1228, 757, 1026, 1229, 758, 1027, 1230, 759, 1151, 
        951, 760, 1152, 952, 761, 1153, 953, 762}], 
       Line3DBox[{764, 1028, 1231, 763, 1029, 1232, 765, 1030, 1233, 766, 
        1031, 1234, 767, 1032, 1235, 768, 552, 769, 1154, 954, 770, 1155, 
        1033, 1236, 771, 1034, 1237, 772, 1035, 1238, 773, 1036, 1239, 774, 
        1037, 1240, 775, 1156, 955, 776, 1157, 956, 777}], 
       Line3DBox[{779, 1038, 1241, 778, 1039, 1242, 780, 1040, 1243, 781, 
        1041, 1244, 782, 1042, 1245, 783, 1043, 1246, 784, 568, 785, 1158, 
        1044, 1247, 786, 1045, 1248, 787, 1046, 1249, 788, 1047, 1250, 789, 
        1048, 1251, 790, 1049, 1252, 791, 1050, 1253, 792}], 
       Line3DBox[{796, 1159, 957, 794, 1160, 958, 798, 1161, 959, 800, 1162, 
        960, 802, 1163, 961, 804, 1164, 962, 806, 1165, 963, 808, 1166, 585, 
        810, 1167, 964, 812, 1168, 965, 814, 1169, 966, 816, 1170, 967, 818, 
        1171, 968, 820, 1172, 969, 822}], 
       Line3DBox[{821, 1267, 1063, 819, 1266, 1062, 817, 1265, 1061, 815, 
        1264, 1060, 813, 1263, 1059, 811, 1262, 1058, 809, 1261, 584, 807, 
        1260, 1057, 805, 1259, 1056, 803, 1258, 1055, 801, 1257, 1054, 799, 
        1256, 1053, 797, 1255, 1052, 793, 1254, 1051, 795}], 
       Line3DBox[{824, 1064, 1268, 823, 1173, 970, 825, 1174, 971, 826, 1175, 
        972, 827, 1176, 973, 828, 1177, 974, 829, 1178, 975, 830, 1179, 1065, 
        1269, 831, 601, 832, 1180, 976, 833, 1181, 977, 834, 1182, 978, 835, 
        1183, 979, 836, 1184, 980, 837}], 
       Line3DBox[{839, 1066, 1270, 838, 1067, 1271, 840, 609, 841, 1185, 981, 
        842, 1186, 982, 843, 1187, 983, 844, 1188, 984, 845, 1189, 1068, 1272,
         846, 1069, 1273, 847, 617, 848, 1190, 985, 849, 1191, 986, 850, 1192,
         987, 851, 1193, 988, 852}], 
       Line3DBox[{854, 1070, 1274, 853, 1071, 1275, 855, 1072, 1276, 856, 625,
         857, 1194, 989, 858, 1195, 990, 859, 1196, 991, 860, 1197, 1073, 
        1277, 861, 1074, 1278, 862, 1075, 1279, 863, 633, 864, 1198, 992, 865,
         1199, 993, 866, 1200, 994, 867}], 
       Line3DBox[{869, 1076, 1280, 868, 1077, 1281, 870, 1078, 1282, 871, 
        1079, 1283, 872, 1080, 1284, 873, 1201, 995, 874, 1202, 996, 875, 
        1203, 1081, 1285, 876, 1082, 1286, 877, 1083, 1287, 878, 1084, 1288, 
        879, 649, 880, 1204, 997, 881, 1205, 998, 882}], 
       Line3DBox[{884, 1085, 1289, 883, 1086, 1290, 885, 1087, 1291, 886, 
        1088, 1292, 887, 1089, 1293, 888, 657, 889, 1206, 999, 890, 1207, 
        1090, 1294, 891, 1091, 1295, 892, 1092, 1296, 893, 1093, 1297, 894, 
        1094, 1298, 895, 665, 896, 1208, 1000, 897}], 
       Line3DBox[{911, 1006, 685, 910, 1309, 1105, 909, 1308, 1104, 908, 1307,
         1103, 907, 1306, 1102, 906, 1305, 1101, 905, 1304, 1100, 1209, 904, 
        673, 903, 1303, 1099, 902, 1302, 1098, 901, 1301, 1097, 900, 1300, 
        1096, 899, 1299, 1095, 898, 1310, 1004, 1003, 1005}]}}},
    VertexNormals->CompressedData["
1:eJztyFEJwCAABcCHwxrCkqyDEQS/rW6EJbCA3H3eO1afJUmryZOT/Xnvvffe
e++9995777333nvvvffee++9995777333nvvvffee++9995777333nvvvffe
e++9995777333nvvvffee++9995777333vs7/geJLxCu
     "]]},
  Axes->True,
  AxesLabel->{
    FormBox["\"x\"", TraditionalForm], 
    FormBox["\"y\"", TraditionalForm], 
    FormBox["\"z\"", TraditionalForm]},
  DisplayFunction->Identity,
  FaceGridsStyle->Automatic,
  Method->{},
  PlotRange->{{-2.9999969467702967`, 2.999999999999975}, {-2.998835915154122, 
   2.999038344300353}, {0., 8.}},
  PlotRangePadding->{
    Scaled[0.02], 
    Scaled[0.02], 
    Scaled[0.02]},
  Ticks->{Automatic, Automatic, Automatic}]], "Output",
 CellChangeTimes->{{3.698428885639696*^9, 3.698428911630623*^9}, 
   3.699087700361154*^9, 3.6992004280163965`*^9, 3.699201316304269*^9, 
   3.699202259804319*^9, 3.6992023308090243`*^9, 3.6992023704488363`*^9, 
   3.6992103692578506`*^9, 3.6998120224051857`*^9, 3.7014240607677283`*^9, 
   3.701425733066274*^9, 3.701426714866605*^9, 3.7014287345915837`*^9, 
   3.701445341636272*^9, 3.7014456784156203`*^9, 3.70144686488918*^9, 
   3.729931836163887*^9, 3.730022958662088*^9, 3.7322965032067842`*^9, 
   3.7655628563830976`*^9},ExpressionUUID->"19e4b5a1-6826-427d-88f5-\
697d4144c58f"]
}, Open  ]]
}, Open  ]],

Cell[CellGroupData[{

Cell["Inciso b): ", "Subsection",
 CellChangeTimes->{{3.698429196612439*^9, 3.6984292076322613`*^9}}],

Cell[TextData[{
 "La elipse ",
 Cell[BoxData[
  FormBox[
   RowBox[{
    RowBox[{
     FractionBox[
      SuperscriptBox["x", "2"], "4"], "+", 
     FractionBox[
      SuperscriptBox["z", "2"], "9"]}], "=", "1"}], TraditionalForm]],
  FormatType->"TraditionalForm"]
}], "Text",
 CellChangeTimes->{{3.6984292199430175`*^9, 3.698429245722888*^9}}],

Cell[CellGroupData[{

Cell[BoxData[
 RowBox[{"c5", "=", 
  RowBox[{"ParametricPlot3D", "[", 
   RowBox[{
    RowBox[{"{", 
     RowBox[{
      RowBox[{"2", "*", 
       RowBox[{"Cos", "[", "\[Theta]", "]"}]}], ",", "3", ",", 
      RowBox[{"3", "*", 
       RowBox[{"Sin", "[", "\[Theta]", "]"}]}]}], "}"}], ",", 
    RowBox[{"{", 
     RowBox[{"\[Theta]", ",", "0", ",", 
      RowBox[{"2", "\[Pi]"}]}], "}"}], ",", 
    RowBox[{"PlotStyle", "\[Rule]", 
     RowBox[{"{", 
      RowBox[{
       RowBox[{"Thickness", "[", "0.02", "]"}], ",", 
       RowBox[{"RGBColor", "[", 
        RowBox[{"0", ",", "0", ",", "0"}], "]"}]}], "}"}]}], ",", 
    RowBox[{"AxesLabel", "\[Rule]", 
     RowBox[{"{", 
      RowBox[{"\"\<x\>\"", ",", "\"\<y\>\"", ",", "\"\<z\>\""}], "}"}]}]}], 
   "]"}]}]], "Input",
 CellChangeTimes->{{3.698429255273693*^9, 
  3.6984292842110977`*^9}},ExpressionUUID->"014b4af2-b9ea-4303-ba4c-\
d02eb2d7d6e5"],

Cell[BoxData[
 Graphics3DBox[{{}, {}, 
   TagBox[
    {RGBColor[0, 0, 0], Thickness[0.02], Line3DBox[CompressedData["
1:eJxd1Xs0m3cYB/AQ8lZdR1dqpTfatbRjlK56vG+pDiVMh0qxlYWsdZ3V2p6s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      "]]},
    Annotation[#, "Charting`Private`Tag$2592#1"]& ]},
  Axes->True,
  AxesLabel->{
    FormBox["\"x\"", TraditionalForm], 
    FormBox["\"y\"", TraditionalForm], 
    FormBox["\"z\"", TraditionalForm]},
  DisplayFunction->Identity,
  FaceGridsStyle->Automatic,
  Method->{},
  PlotRange->{{-1.999997964513531, 1.9999999999999836`}, {0., 
   6.}, {-2.998835915154122, 2.999038344300353}},
  PlotRangePadding->{
    Scaled[0.02], 
    Scaled[0.02], 
    Scaled[0.02]},
  Ticks->{Automatic, Automatic, Automatic}]], "Output",
 CellChangeTimes->{3.698429285063704*^9, 3.699087700403183*^9, 
  3.6992004280714207`*^9, 3.6992013163342905`*^9, 3.6992022599654365`*^9, 
  3.699202330895782*^9, 3.699202370519873*^9, 3.6992103693419185`*^9, 
  3.699812022591323*^9, 3.7014240608277707`*^9, 3.7014257331933765`*^9, 
  3.701426714990694*^9, 3.7014287346816435`*^9, 3.7014453417833652`*^9, 
  3.701445678539707*^9, 3.7014468649382133`*^9, 3.7299318362300367`*^9, 
  3.730022958713072*^9, 3.732296503244397*^9, 
  3.765562856421032*^9},ExpressionUUID->"8c630cc3-af17-4d4a-9121-\
2a74ff70bae9"]
}, Open  ]],

Cell[BoxData[
 RowBox[{
  RowBox[{"pl5", "=", 
   RowBox[{"ParametricPlot3D", "[", 
    RowBox[{
     RowBox[{"{", 
      RowBox[{"u", ",", "3", ",", "v"}], "}"}], ",", 
     RowBox[{"{", 
      RowBox[{"u", ",", 
       RowBox[{"-", "10"}], ",", "10"}], "}"}], ",", 
     RowBox[{"{", 
      RowBox[{"v", ",", 
       RowBox[{"-", "10"}], ",", "10"}], "}"}], ",", 
     RowBox[{"PlotStyle", "\[Rule]", 
      RowBox[{"RGBColor", "[", 
       RowBox[{"0", ",", "1", ",", "1", ",", "0.5"}], "]"}]}], ",", 
     RowBox[{"AxesLabel", "\[Rule]", 
      RowBox[{"{", 
       RowBox[{"\"\<x\>\"", ",", "\"\<y\>\"", ",", "\"\<z\>\""}], "}"}]}]}], 
    "]"}]}], ";"}]], "Input",
 CellChangeTimes->{{3.698429298610336*^9, 
  3.6984294445669074`*^9}},ExpressionUUID->"f235853b-38d4-4d8a-b941-\
47197632204a"],

Cell[CellGroupData[{

Cell[BoxData[
 RowBox[{"Show", "[", 
  RowBox[{"c5", ",", "pl5"}], "]"}]], "Input",
 CellChangeTimes->{{3.698429311711432*^9, 
  3.6984293167269993`*^9}},ExpressionUUID->"62c087a4-f674-4a71-ad96-\
dfd9139b2989"],

Cell[BoxData[
 Graphics3DBox[{{{}, {}, 
    TagBox[
     {RGBColor[0, 0, 0], Thickness[0.02], Line3DBox[CompressedData["
1:eJxd1Xs0m3cYB/AQ8lZdR1dqpTfatbRjlK56vG+pDiVMh0qxlYWsdZ3V2p6s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       "]]},
     Annotation[#, "Charting`Private`Tag$2592#1"]& ]}, 
   GraphicsComplex3DBox[CompressedData["
1:eJyNnMGvXsdZh+24JnbjGyeZNEmTHsdO7hYpoq6zqYTVlaOmgLpihUTqBgnJ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    "], {{
      {RGBColor[0, 1, 1], Opacity[0.5], EdgeForm[None], 
       StyleBox[GraphicsGroup3DBox[
         TagBox[{Polygon3DBox[CompressedData["
1:eJw1mXfgV+P7xs8zikpFRWbJyEo0jMgo82sLlVCkhYYVEVkVysoeyaaiyKqU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            "]], Polygon3DBox[CompressedData["
1:eJwtmnfgV9Mfxu8953wryYi2SguJykoqJQoNoyEjoRKlokIkIkQhFEVGUcjI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            "]], Polygon3DBox[CompressedData["
1:eJwt13fcFOURAODj7gBpNsCGKNJUUKQjXXqkKggkgJjQNFRDNVIsFJUuPYpg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            "]]},
          Annotation[#, "Charting`Private`Tag$2611#1"]& ]],
        Lighting->Automatic]}, {}, {}, {}, {}}, {{}, {}, {}, 
      {GrayLevel[0.2], 
       Line3DBox[{251, 474, 1107, 252, 488, 280, 1214, 503, 295, 1218, 518, 
        310, 1224, 533, 325, 1232, 548, 340, 1242, 563, 355, 1255, 578, 1160, 
        370, 593, 1173, 385, 1271, 608, 400, 1275, 623, 415, 1281, 638, 430, 
        1290, 653, 445, 1299, 668, 460}], 
       Line3DBox[{253, 475, 1108, 254, 489, 1120, 281, 504, 296, 1219, 519, 
        311, 1225, 534, 326, 1233, 549, 341, 1243, 564, 356, 1256, 579, 1161, 
        371, 594, 1174, 386, 609, 401, 1276, 624, 416, 1282, 639, 431, 1291, 
        654, 446, 1300, 669, 461}], 
       Line3DBox[{255, 476, 1109, 256, 490, 1121, 282, 505, 1131, 297, 520, 
        312, 1226, 535, 327, 1234, 550, 342, 1244, 565, 357, 1257, 580, 1162, 
        372, 595, 1175, 387, 610, 1185, 402, 625, 417, 1283, 640, 432, 1292, 
        655, 447, 1301, 670, 462}], 
       Line3DBox[{257, 477, 1110, 258, 491, 1122, 283, 506, 1132, 298, 521, 
        1140, 313, 536, 328, 1235, 551, 343, 1245, 566, 358, 1258, 581, 1163, 
        373, 596, 1176, 388, 611, 1186, 403, 626, 1194, 418, 1284, 641, 433, 
        1293, 656, 448, 1302, 671, 463}], 
       Line3DBox[{259, 478, 1111, 260, 492, 1123, 284, 507, 1133, 299, 522, 
        1141, 314, 537, 1148, 329, 552, 344, 1246, 567, 359, 1259, 582, 1164, 
        374, 597, 1177, 389, 612, 1187, 404, 627, 1195, 419, 642, 1201, 434, 
        657, 449, 1303, 672, 464}], 
       Line3DBox[{261, 479, 1112, 262, 493, 1124, 285, 508, 1134, 300, 523, 
        1142, 315, 538, 1149, 330, 553, 1154, 345, 568, 360, 1260, 583, 1165, 
        375, 598, 1178, 390, 613, 1188, 405, 628, 1196, 420, 643, 1202, 435, 
        658, 1206, 450, 673, 465}], 
       Line3DBox[{263, 480, 1113, 265, 494, 1125, 286, 509, 1135, 301, 524, 
        1143, 316, 539, 1150, 331, 554, 1155, 346, 569, 1158, 361, 584, 1166, 
        376, 599, 1179, 391, 614, 1189, 406, 629, 1197, 421, 644, 1203, 436, 
        659, 1207, 451, 674, 1209, 466}], 
       Line3DBox[{267, 482, 1114, 268, 1212, 496, 288, 1216, 511, 303, 1221, 
        526, 318, 1228, 541, 333, 1237, 556, 348, 1248, 571, 363, 1262, 586, 
        1167, 378, 601, 393, 1273, 616, 408, 1278, 631, 423, 1286, 646, 438, 
        1295, 661, 453, 1305, 676, 468}], 
       Line3DBox[{269, 483, 1115, 270, 497, 1126, 289, 512, 304, 1222, 527, 
        319, 1229, 542, 334, 1238, 557, 349, 1249, 572, 364, 1263, 587, 1168, 
        379, 602, 1180, 394, 617, 409, 1279, 632, 424, 1287, 647, 439, 1296, 
        662, 454, 1306, 677, 469}], 
       Line3DBox[{271, 484, 1116, 272, 498, 1127, 290, 513, 1136, 305, 528, 
        1144, 320, 1230, 543, 335, 1239, 558, 350, 1250, 573, 365, 1264, 588, 
        1169, 380, 603, 1181, 395, 618, 1190, 410, 633, 425, 1288, 648, 440, 
        1297, 663, 455, 1307, 678, 470}], 
       Line3DBox[{273, 485, 1117, 274, 499, 1128, 291, 514, 1137, 306, 529, 
        1145, 321, 544, 1151, 336, 1240, 559, 351, 1251, 574, 366, 1265, 589, 
        1170, 381, 604, 1182, 396, 619, 1191, 411, 634, 1198, 426, 649, 441, 
        1298, 664, 456, 1308, 679, 471}], 
       Line3DBox[{275, 486, 1118, 276, 500, 1129, 292, 515, 1138, 307, 530, 
        1146, 322, 545, 1152, 337, 560, 1156, 352, 1252, 575, 367, 1266, 590, 
        1171, 382, 605, 1183, 397, 620, 1192, 412, 635, 1199, 427, 650, 1204, 
        442, 665, 457, 1309, 680, 472}], 
       Line3DBox[{277, 682, 683, 1119, 278, 501, 1130, 293, 516, 1139, 308, 
        531, 1147, 323, 546, 1153, 338, 561, 1157, 353, 1253, 576, 368, 1267, 
        591, 1172, 383, 606, 1184, 398, 621, 1193, 413, 636, 1200, 428, 651, 
        1205, 443, 666, 1208, 458, 685, 686, 687}], 
       Line3DBox[{459, 667, 1310, 684, 444, 652, 1289, 429, 637, 1280, 414, 
        622, 1274, 399, 607, 1270, 384, 592, 1268, 369, 1159, 577, 1254, 354, 
        562, 1241, 339, 547, 1231, 324, 532, 1223, 309, 517, 1217, 294, 502, 
        1213, 279, 487, 1210, 250, 473, 681, 688}], 
       Line3DBox[{467, 675, 1304, 452, 660, 1294, 437, 645, 1285, 422, 630, 
        1277, 407, 615, 1272, 392, 600, 1269, 377, 585, 1261, 362, 570, 1247, 
        347, 555, 1236, 332, 540, 1227, 317, 525, 1220, 302, 510, 1215, 287, 
        495, 1211, 266, 481, 264}]}, 
      {GrayLevel[0.2], 
       Line3DBox[{690, 1001, 473, 689, 1107, 912, 691, 1108, 913, 692, 1109, 
        914, 693, 1110, 915, 694, 1111, 916, 695, 1112, 917, 696, 1113, 481, 
        697, 1114, 918, 698, 1115, 919, 699, 1116, 920, 700, 1117, 921, 701, 
        1118, 922, 702, 1106, 1119, 923, 1002}], 
       Line3DBox[{704, 1007, 1210, 703, 488, 705, 1120, 924, 706, 1121, 925, 
        707, 1122, 926, 708, 1123, 927, 709, 1124, 928, 710, 1125, 1008, 1211,
         711, 1009, 1212, 712, 1126, 929, 713, 1127, 930, 714, 1128, 931, 715,
         1129, 932, 716, 1130, 933, 717}], 
       Line3DBox[{719, 1010, 1213, 718, 1011, 1214, 720, 504, 721, 1131, 934, 
        722, 1132, 935, 723, 1133, 936, 724, 1134, 937, 725, 1135, 1012, 1215,
         726, 1013, 1216, 727, 512, 728, 1136, 938, 729, 1137, 939, 730, 1138,
         940, 731, 1139, 941, 732}], 
       Line3DBox[{734, 1014, 1217, 733, 1015, 1218, 735, 1016, 1219, 736, 520,
         737, 1140, 942, 738, 1141, 943, 739, 1142, 944, 740, 1143, 1017, 
        1220, 741, 1018, 1221, 742, 1019, 1222, 743, 1144, 945, 744, 1145, 
        946, 745, 1146, 947, 746, 1147, 948, 747}], 
       Line3DBox[{749, 1020, 1223, 748, 1021, 1224, 750, 1022, 1225, 751, 
        1023, 1226, 752, 536, 753, 1148, 949, 754, 1149, 950, 755, 1150, 1024,
         1227, 756, 1025, 1228, 757, 1026, 1229, 758, 1027, 1230, 759, 1151, 
        951, 760, 1152, 952, 761, 1153, 953, 762}], 
       Line3DBox[{764, 1028, 1231, 763, 1029, 1232, 765, 1030, 1233, 766, 
        1031, 1234, 767, 1032, 1235, 768, 552, 769, 1154, 954, 770, 1155, 
        1033, 1236, 771, 1034, 1237, 772, 1035, 1238, 773, 1036, 1239, 774, 
        1037, 1240, 775, 1156, 955, 776, 1157, 956, 777}], 
       Line3DBox[{779, 1038, 1241, 778, 1039, 1242, 780, 1040, 1243, 781, 
        1041, 1244, 782, 1042, 1245, 783, 1043, 1246, 784, 568, 785, 1158, 
        1044, 1247, 786, 1045, 1248, 787, 1046, 1249, 788, 1047, 1250, 789, 
        1048, 1251, 790, 1049, 1252, 791, 1050, 1253, 792}], 
       Line3DBox[{796, 1159, 957, 794, 1160, 958, 798, 1161, 959, 800, 1162, 
        960, 802, 1163, 961, 804, 1164, 962, 806, 1165, 963, 808, 1166, 585, 
        810, 1167, 964, 812, 1168, 965, 814, 1169, 966, 816, 1170, 967, 818, 
        1171, 968, 820, 1172, 969, 822}], 
       Line3DBox[{821, 1267, 1063, 819, 1266, 1062, 817, 1265, 1061, 815, 
        1264, 1060, 813, 1263, 1059, 811, 1262, 1058, 809, 1261, 584, 807, 
        1260, 1057, 805, 1259, 1056, 803, 1258, 1055, 801, 1257, 1054, 799, 
        1256, 1053, 797, 1255, 1052, 793, 1254, 1051, 795}], 
       Line3DBox[{824, 1064, 1268, 823, 1173, 970, 825, 1174, 971, 826, 1175, 
        972, 827, 1176, 973, 828, 1177, 974, 829, 1178, 975, 830, 1179, 1065, 
        1269, 831, 601, 832, 1180, 976, 833, 1181, 977, 834, 1182, 978, 835, 
        1183, 979, 836, 1184, 980, 837}], 
       Line3DBox[{839, 1066, 1270, 838, 1067, 1271, 840, 609, 841, 1185, 981, 
        842, 1186, 982, 843, 1187, 983, 844, 1188, 984, 845, 1189, 1068, 1272,
         846, 1069, 1273, 847, 617, 848, 1190, 985, 849, 1191, 986, 850, 1192,
         987, 851, 1193, 988, 852}], 
       Line3DBox[{854, 1070, 1274, 853, 1071, 1275, 855, 1072, 1276, 856, 625,
         857, 1194, 989, 858, 1195, 990, 859, 1196, 991, 860, 1197, 1073, 
        1277, 861, 1074, 1278, 862, 1075, 1279, 863, 633, 864, 1198, 992, 865,
         1199, 993, 866, 1200, 994, 867}], 
       Line3DBox[{869, 1076, 1280, 868, 1077, 1281, 870, 1078, 1282, 871, 
        1079, 1283, 872, 1080, 1284, 873, 1201, 995, 874, 1202, 996, 875, 
        1203, 1081, 1285, 876, 1082, 1286, 877, 1083, 1287, 878, 1084, 1288, 
        879, 649, 880, 1204, 997, 881, 1205, 998, 882}], 
       Line3DBox[{884, 1085, 1289, 883, 1086, 1290, 885, 1087, 1291, 886, 
        1088, 1292, 887, 1089, 1293, 888, 657, 889, 1206, 999, 890, 1207, 
        1090, 1294, 891, 1091, 1295, 892, 1092, 1296, 893, 1093, 1297, 894, 
        1094, 1298, 895, 665, 896, 1208, 1000, 897}], 
       Line3DBox[{911, 1006, 685, 910, 1309, 1105, 909, 1308, 1104, 908, 1307,
         1103, 907, 1306, 1102, 906, 1305, 1101, 905, 1304, 1100, 1209, 904, 
        673, 903, 1303, 1099, 902, 1302, 1098, 901, 1301, 1097, 900, 1300, 
        1096, 899, 1299, 1095, 898, 1310, 1004, 1003, 1005}]}}},
    VertexNormals->CompressedData["
1:eJztyMEJwCAABLCj4hoFV3IEwbcjulJH6N9OUEieaWP1eSW5a1JyevanvPfe
e++9995777333nvvvffee++9995777333nvvvffee++9995777333nvvvffe
e++9995777333nvvvffee++9995777333nvv/a//BZ/gn8w=
     "]]},
  Axes->True,
  AxesLabel->{
    FormBox["\"x\"", TraditionalForm], 
    FormBox["\"y\"", TraditionalForm], 
    FormBox["\"z\"", TraditionalForm]},
  DisplayFunction->Identity,
  FaceGridsStyle->Automatic,
  Method->{},
  PlotRange->{{-1.999997964513531, 1.9999999999999836`}, {0., 
   6.}, {-2.998835915154122, 2.999038344300353}},
  PlotRangePadding->{
    Scaled[0.02], 
    Scaled[0.02], 
    Scaled[0.02]},
  Ticks->{Automatic, Automatic, Automatic}]], "Output",
 CellChangeTimes->{{3.6984293171072693`*^9, 3.6984293306789513`*^9}, 
   3.6984294361649337`*^9, 3.699087700495249*^9, 3.6992004281284575`*^9, 
   3.6992013164143476`*^9, 3.6992022601565685`*^9, 3.699202330946823*^9, 
   3.6992023705909123`*^9, 3.6992103693879437`*^9, 3.699812022871518*^9, 
   3.7014240608998213`*^9, 3.701425733331463*^9, 3.701426715103773*^9, 
   3.7014287348387537`*^9, 3.7014453418734293`*^9, 3.7014456786718006`*^9, 
   3.7014468649982567`*^9, 3.729931836302183*^9, 3.730022958765479*^9, 
   3.732296503308586*^9, 
   3.765562856467888*^9},ExpressionUUID->"cae7ed9c-974c-4b81-b5b1-\
8b2cc6b47d51"]
}, Open  ]]
}, Open  ]],

Cell[CellGroupData[{

Cell["Inciso c): ", "Subsection",
 CellChangeTimes->{{3.698429591659507*^9, 3.6984295968191233`*^9}}],

Cell["\<\
La recta de orientaci\[OAcute]n (-2;3;4) que pasa por (1;-2;3). Calcular adem\
\[AAcute]s su versor:\
\>", "Text",
 CellChangeTimes->{{3.698429662422707*^9, 3.698429701735731*^9}}],

Cell[CellGroupData[{

Cell[BoxData[
 RowBox[{"p1", "=", 
  RowBox[{"Graphics3D", "[", 
   RowBox[{"{", 
    RowBox[{
     RowBox[{"PointSize", "[", "0.03", "]"}], ",", "Red", ",", 
     RowBox[{"Point", "[", 
      RowBox[{"{", 
       RowBox[{"1", ",", 
        RowBox[{"-", "2"}], ",", "3"}], "}"}], "]"}]}], "}"}], 
   "]"}]}]], "Input",
 CellChangeTimes->{{3.6984298928736057`*^9, 3.698429942686028*^9}, {
  3.698429986654322*^9, 3.6984300537039843`*^9}, {3.699087782198615*^9, 
  3.699087864352061*^9}, {3.699088171411529*^9, 
  3.699088171848836*^9}},ExpressionUUID->"c26d3fa8-39e0-49a5-afff-\
567441e54a32"],

Cell[BoxData[
 Graphics3DBox[
  {RGBColor[1, 0, 0], PointSize[0.03], Point3DBox[{1, -2, 3}]},
  ImageSize->{315.0136095320544, 424.3583085711957},
  ViewPoint->{2.191678893666604, -2.3279738493500504`, 1.1077370553514228`},
  ViewVertical->{1.0898725875992974`, -0.11282346180799563`, 
   0.928634673333937}]], "Output",
 CellChangeTimes->{{3.698429923576439*^9, 3.6984299431413517`*^9}, {
   3.6984300002049417`*^9, 3.6984300542924013`*^9}, 3.699087700547286*^9, 
   3.6990877930893555`*^9, {3.699087828115319*^9, 3.699087864704311*^9}, 
   3.6990881720689955`*^9, 3.6992004282065325`*^9, {3.6992012907012005`*^9, 
   3.6992013164323645`*^9}, 3.6992022601725807`*^9, 3.6992023309638405`*^9, 
   3.699202370610927*^9, 3.6992103694009533`*^9, 3.699812022902039*^9, 
   3.7014240609268413`*^9, 3.7014257333564816`*^9, 3.701426715121787*^9, 
   3.701428734955839*^9, 3.7014453418924437`*^9, 3.7014456787348456`*^9, 
   3.70144686503028*^9, 3.72993183633125*^9, 3.73002295879429*^9, 
   3.7322965033430557`*^9, 
   3.765562856505631*^9},ExpressionUUID->"5d1430c9-cf37-4bbb-97bf-\
a75aabed069c"]
}, Open  ]],

Cell[CellGroupData[{

Cell[BoxData[
 RowBox[{"v1", "=", 
  RowBox[{"Graphics3D", "[", 
   RowBox[{"{", 
    RowBox[{"Blue", ",", 
     RowBox[{"Arrow", "[", 
      RowBox[{"{", 
       RowBox[{
        RowBox[{"{", 
         RowBox[{"1", ",", 
          RowBox[{"-", "2"}], ",", "3"}], "}"}], ",", 
        RowBox[{"{", 
         RowBox[{
          RowBox[{"1", "-", "2"}], ",", 
          RowBox[{
           RowBox[{"-", "2"}], "+", "3"}], ",", 
          RowBox[{"3", "+", "4"}]}], "}"}]}], "}"}], "]"}]}], "}"}], 
   "]"}]}]], "Input",
 CellChangeTimes->{{3.6990878908722615`*^9, 3.6990880254572506`*^9}, {
  3.699201249618726*^9, 
  3.6992012870656147`*^9}},ExpressionUUID->"7636e70f-6a4e-4f46-93b8-\
b512237969cd"],

Cell[BoxData[
 Graphics3DBox[
  {RGBColor[0, 0, 1], Arrow3DBox[{{1, -2, 3}, {-1, 1, 7}}]},
  ImageSize->{338.71587022450177`, 396.1107501365332},
  ViewPoint->{0.6771308829499163, -2.6048787680263943`, 2.050877951327373},
  ViewVertical->{-1.3068492111095118`, -0.6282330218376624, 
   0.5924783746129607}]], "Output",
 CellChangeTimes->{{3.699087956781103*^9, 3.6990880259635987`*^9}, 
   3.699200428164502*^9, {3.699201287620011*^9, 3.6992013164443684`*^9}, 
   3.6992022601875916`*^9, 3.69920233097684*^9, 3.699202370631944*^9, 
   3.69921036941096*^9, 3.6998120229200525`*^9, 3.701424060950859*^9, 
   3.7014257333875017`*^9, 3.701426715150807*^9, 3.7014287350639205`*^9, 
   3.701445341908456*^9, 3.7014456787648673`*^9, 3.7014468651078105`*^9, 
   3.7299318363525877`*^9, 3.730022958809342*^9, 3.732296503377233*^9, 
   3.765562856539875*^9},ExpressionUUID->"72a308a3-9e14-4c54-9502-\
a9088c63175c"]
}, Open  ]],

Cell[CellGroupData[{

Cell[BoxData[
 RowBox[{"c6", "=", 
  RowBox[{"ParametricPlot3D", "[", 
   RowBox[{
    RowBox[{"{", 
     RowBox[{
      RowBox[{"1", "-", 
       RowBox[{"2", "\[Lambda]"}]}], ",", 
      RowBox[{
       RowBox[{"-", "2"}], "+", 
       RowBox[{"3", "\[Lambda]"}]}], ",", 
      RowBox[{"3", "+", 
       RowBox[{"4", "\[Lambda]"}]}]}], "}"}], ",", 
    RowBox[{"{", 
     RowBox[{"\[Lambda]", ",", 
      RowBox[{"-", "10"}], ",", "10"}], "}"}], ",", 
    RowBox[{"PlotStyle", "\[Rule]", 
     RowBox[{"{", 
      RowBox[{"RGBColor", "[", 
       RowBox[{"0", ",", "0", ",", "0"}], "]"}], "}"}]}], ",", 
    RowBox[{"AxesLabel", "\[Rule]", 
     RowBox[{"{", 
      RowBox[{"\"\<x\>\"", ",", "\"\<y\>\"", ",", "\"\<z\>\""}], "}"}]}]}], 
   "]"}]}]], "Input",
 CellChangeTimes->{{3.698429255273693*^9, 3.6984292842110977`*^9}, {
  3.6984297360030537`*^9, 3.69842977296834*^9}, {3.6990881086173763`*^9, 
  3.699088134104509*^9}},ExpressionUUID->"d7c393e2-ebee-4287-9b3f-\
76f26693f842"],

Cell[BoxData[
 Graphics3DBox[{{}, {}, 
   TagBox[
    {RGBColor[0, 0, 0], AbsoluteThickness[2], Line3DBox[CompressedData["
1:eJwt1WtYzHkfBvBKXCIVionRkWlMaqZ/c2jmH/Nt6r/FqqWe0W4WHVc6yU7I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      "]]},
    Annotation[#, "Charting`Private`Tag$2631#1"]& ]},
  Axes->True,
  AxesLabel->{
    FormBox["\"x\"", TraditionalForm], 
    FormBox["\"y\"", TraditionalForm], 
    FormBox["\"z\"", TraditionalForm]},
  DisplayFunction->Identity,
  FaceGridsStyle->Automatic,
  ImageSize->{379.9942714531663, 427.1610851653345},
  Method->{},
  PlotRange->{{-18.99999918367347, 20.99999918367347}, {-31.999998775510207`, 
   27.999998775510207`}, {-36.99999836734694, 42.99999836734694}},
  PlotRangePadding->{
    Scaled[0.02], 
    Scaled[0.02], 
    Scaled[0.02]},
  Ticks->{Automatic, Automatic, Automatic},
  ViewPoint->{0.3936413493504596, -2.6241051612805437`, 2.0997901301373827`},
  ViewVertical->{0.24129009634633222`, 0.06573481229955598, 
   0.9914707121143378}]], "Output",
 CellChangeTimes->{
  3.699088134704918*^9, 3.6992004281905212`*^9, {3.699201295298497*^9, 
   3.6992013164773955`*^9}, 3.699202260218615*^9, 3.6992023310018587`*^9, 
   3.699202370660962*^9, 3.6992103694339767`*^9, 3.699812023120232*^9, 
   3.7014240610929613`*^9, 3.7014257334645615`*^9, 3.7014267152618856`*^9, 
   3.70142873518602*^9, 3.7014453419945498`*^9, 3.7014456788399305`*^9, 
   3.7014468651978693`*^9, 3.729931836382337*^9, 3.7300229588360977`*^9, 
   3.732296503415677*^9, 
   3.7655628565847807`*^9},ExpressionUUID->"3bf7ea23-75f3-4afd-b8ef-\
e5d5f9a5f0fc"]
}, Open  ]],

Cell[CellGroupData[{

Cell[BoxData[
 RowBox[{"Show", "[", 
  RowBox[{"c6", ",", "v1", ",", "p1", ",", 
   RowBox[{"ImageSize", "\[Rule]", " ", "Large"}]}], "]"}]], "Input",
 CellChangeTimes->{{3.699087867366203*^9, 3.699087879364731*^9}, {
  3.69908803571653*^9, 
  3.6990880908417454`*^9}},ExpressionUUID->"976f8009-4faf-4b31-8a0b-\
917a6e189a2b"],

Cell[BoxData[
 Graphics3DBox[{{{}, {}, 
    TagBox[
     {RGBColor[0, 0, 0], AbsoluteThickness[2], Line3DBox[CompressedData["
1:eJwt1WtYzHkfBvBKXCIVionRkWlMaqZ/c2jmH/Nt6r/FqqWe0W4WHVc6yU7I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       "]]},
     Annotation[#, "Charting`Private`Tag$2631#1"]& ]}, 
   {RGBColor[0, 0, 1], Arrow3DBox[{{1, -2, 3}, {-1, 1, 7}}]}, 
   {RGBColor[1, 0, 0], PointSize[0.03], Point3DBox[{1, -2, 3}]}},
  Axes->True,
  AxesLabel->{
    FormBox["\"x\"", TraditionalForm], 
    FormBox["\"y\"", TraditionalForm], 
    FormBox["\"z\"", TraditionalForm]},
  DisplayFunction->Identity,
  FaceGridsStyle->Automatic,
  ImageSize->Large,
  Method->{},
  PlotRange->{{-18.99999918367347, 20.99999918367347}, {-31.999998775510207`, 
   27.999998775510207`}, {-36.99999836734694, 42.99999836734694}},
  PlotRangePadding->{
    Scaled[0.02], 
    Scaled[0.02], 
    Scaled[0.02]},
  Ticks->{Automatic, Automatic, Automatic},
  ViewPoint->{3.2477449052734606`, -0.9417939122212463, 0.12319601119061101`},
  ViewVertical->{0.8534557165660119, -0.7454124886376268, 
   0.7108839284427312}]], "Output",
 CellChangeTimes->{{3.6990878765046988`*^9, 3.699087880014211*^9}, 
   3.699088037890078*^9, {3.6990880720203485`*^9, 3.699088091897495*^9}, 
   3.699088138609711*^9, 3.699088174364642*^9, 3.699200428224526*^9, {
   3.6992012972658644`*^9, 3.6992013164984217`*^9}, 3.699202260237629*^9, 
   3.699202331020871*^9, 3.6992023706779747`*^9, 3.6992103694499874`*^9, 
   3.69981202325533*^9, 3.701424061119979*^9, 3.701425733487574*^9, 
   3.7014267153419433`*^9, 3.7014287353040934`*^9, 3.7014453420285406`*^9, 
   3.7014456788629365`*^9, 3.7014468653399763`*^9, 3.729931836406447*^9, 
   3.730022958861989*^9, 3.732296503458762*^9, 
   3.765562856605194*^9},ExpressionUUID->"97c808cf-bc34-42a1-92c7-\
58e7efae6a50"]
}, Open  ]],

Cell[BoxData[
 RowBox[{"ClearAll", "[", 
  RowBox[{
  "c1", ",", "c2", ",", "c3", ",", "c4", ",", "c5", ",", "c6", ",", "p1", ",",
    "v1", ",", "pl1", ",", "pl2", ",", "pl3", ",", "pl4", ",", "pl5", ",", 
   "sup1", ",", "sup2", ",", "sup3", ",", "s1", ",", "s2", ",", "Fy", ",", 
   "Fz"}], "]"}]], "Input",
 CellChangeTimes->{{3.6990881855175505`*^9, 3.6990882779530115`*^9}, {
  3.6990884296303377`*^9, 
  3.6990884502700043`*^9}},ExpressionUUID->"f6168852-f861-4a8e-a087-\
f4edf27f4e55"]
}, Open  ]]
}, Open  ]],

Cell[CellGroupData[{

Cell["Ejercicio 4:", "Section",
 CellChangeTimes->{{3.699088668003441*^9, 3.699088670639245*^9}}],

Cell[CellGroupData[{

Cell["Enunciado:", "Subsubsection",
 CellChangeTimes->{{3.6990889607683372`*^9, 3.6990889907696753`*^9}}],

Cell[TextData[{
 "Trate de dibujar a mano, la curva de intersecci\[OAcute]n del cilindro \
parab\[OAcute]lico y = ",
 Cell[BoxData[
  FormBox[
   SuperscriptBox["x", "2"], TraditionalForm]],
  FormatType->"TraditionalForm"],
 " y la mitad superior del elipsoide ",
 Cell[BoxData[
  FormBox[
   RowBox[{
    RowBox[{
     SuperscriptBox["x", "2"], "+", " ", 
     RowBox[{"4", " ", 
      SuperscriptBox["y", "2"]}], "+", 
     RowBox[{"4", 
      SuperscriptBox["z", "2"]}]}], "\[Equal]", "16"}], TraditionalForm]],
  FormatType->"TraditionalForm"],
 " . Encuentre las ecuaciones param\[EAcute]tricas de esta curva, utilizando \
como par\[AAcute]metro x = t y utilice, si es posible, estas ecuaciones y un \
software para graficar la curva."
}], "Text",
 CellChangeTimes->{{3.6990889931393433`*^9, 3.699089040325077*^9}, {
  3.6990892236643243`*^9, 3.6990892933211193`*^9}, {3.6990920058762703`*^9, 
  3.699092071289736*^9}}]
}, Open  ]],

Cell[CellGroupData[{

Cell["Gr\[AAcute]ficamos:", "Subsection",
 CellChangeTimes->{{3.699201919790389*^9, 3.699201938724778*^9}}],

Cell[CellGroupData[{

Cell["El cil\[IAcute]ndro parab\[OAcute]lico:", "Subsubsection",
 CellChangeTimes->{{3.6992019406621532`*^9, 3.6992019534576035`*^9}}],

Cell[CellGroupData[{

Cell[BoxData[
 RowBox[{"s1", "=", 
  RowBox[{"ParametricPlot3D", "[", 
   RowBox[{
    RowBox[{"{", 
     RowBox[{"t", ",", 
      SuperscriptBox["t", "2"], ",", "z"}], "}"}], ",", 
    RowBox[{"{", 
     RowBox[{"t", ",", 
      RowBox[{"-", "2"}], ",", "2"}], "}"}], ",", 
    RowBox[{"{", 
     RowBox[{"z", ",", "0", ",", "3"}], "}"}], ",", 
    RowBox[{"Mesh", "\[Rule]", "None"}], ",", 
    RowBox[{"PlotStyle", "\[Rule]", 
     RowBox[{"{", 
      RowBox[{"RGBColor", "[", 
       RowBox[{"1", ",", "0", ",", "1", ",", "0.5"}], "]"}], "}"}]}], ",", 
    RowBox[{"PlotLabel", "\[Rule]", "\"\<Cilindo Parab\[OAcute]lico\>\""}], 
    ",", 
    RowBox[{"AxesLabel", "\[Rule]", 
     RowBox[{"{", 
      RowBox[{"\"\<x\>\"", ",", "\"\<y\>\"", ",", "\"\<z\>\""}], "}"}]}]}], 
   "]"}]}]], "Input",
 CellChangeTimes->{{3.6990936734235954`*^9, 3.6990937086836557`*^9}, {
   3.6992005827618046`*^9, 3.6992006421560135`*^9}, {3.6992006792193537`*^9, 
   3.699200679984898*^9}, {3.6992009310105686`*^9, 3.6992009320473056`*^9}, 
   3.6992023555172796`*^9},ExpressionUUID->"7aa40e4f-f6c1-48f2-a6ed-\
4b430e3b7da5"],

Cell[BoxData[
 Graphics3DBox[GraphicsComplex3DBox[CompressedData["
1:eJyFmnuIXOUZhyeby0qttiBqFVoUDiJURIIaRNt3QSyOIoKGgg1FmjaLSo4h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   "], {
    {RGBColor[1, 0, 1], Opacity[0.5], EdgeForm[None], 
     StyleBox[GraphicsGroup3DBox[
       TagBox[Polygon3DBox[CompressedData["
1:eJxVmQkYV8Maxs/YSupWIkVZS8jerbgRKiGRkBRpkSVUSFEpyhKRyJZEJYWy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         "]],
        Annotation[#, "Charting`Private`Tag$2653#1"]& ]],
      Lighting->Automatic]}, {}, {}, {}, {}},
   VertexNormals->CompressedData["
1:eJxTTMoPSmViYGD4zsjAwAykP5gXuWRwv9/fq3irL4P7/H4GKHBP2P80cMe7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    "]],
  Axes->True,
  AxesLabel->{
    FormBox["\"x\"", TraditionalForm], 
    FormBox["\"y\"", TraditionalForm], 
    FormBox["\"z\"", TraditionalForm]},
  DisplayFunction->Identity,
  FaceGridsStyle->Automatic,
  ImageSize->{452.34626750981573`, 473.57789063725176`},
  Method->{},
  PlotLabel->FormBox["\"Cilindo Parab\[OAcute]lico\"", TraditionalForm],
  PlotRange->{{-1.9999997142857142`, 1.9999997142857142`}, {0., 
   3.9999988571429386`}, {0., 2.9999997857142855`}},
  PlotRangePadding->{
    Scaled[0.02], 
    Scaled[0.02], 
    Scaled[0.02]},
  Ticks->{Automatic, Automatic, Automatic},
  ViewPoint->{2.43937933801845, 0.17928669679151654`, 2.3382225569013437`},
  ViewVertical->{-0.4649780284000203, 0.39850848117677345`, 
   1.054081067618722}]], "Output",
 CellChangeTimes->{{3.6990937011262827`*^9, 3.699093708976863*^9}, 
   3.6992004283516164`*^9, {3.6992005845961065`*^9, 3.69920064260734*^9}, 
   3.699200680224086*^9, 3.6992009325656776`*^9, 3.69920131655945*^9, 
   3.6992022603026934`*^9, {3.6992023310819144`*^9, 3.699202370725008*^9}, 
   3.699210369487032*^9, 3.6998120233368835`*^9, 3.701424061177039*^9, 
   3.7014257335656443`*^9, 3.701426715456023*^9, 3.7014287354041605`*^9, 
   3.7014453420916033`*^9, 3.7014456789359922`*^9, 3.7014468654470587`*^9, 
   3.729931836456386*^9, 3.730022958909487*^9, 3.732296503525536*^9, 
   3.765562856642819*^9},ExpressionUUID->"89223eaf-4522-4724-a58e-\
ff41e6435822"]
}, Open  ]]
}, Open  ]],

Cell[CellGroupData[{

Cell["La mitad superior del elipsoide:", "Subsubsection",
 CellChangeTimes->{{3.699202210558321*^9, 3.699202218119697*^9}}],

Cell[CellGroupData[{

Cell[BoxData[
 RowBox[{"s2", "=", 
  RowBox[{"ContourPlot3D", "[", 
   RowBox[{
    RowBox[{
     RowBox[{
      SuperscriptBox["x", "2"], "+", 
      RowBox[{"4", 
       SuperscriptBox["y", "2"]}], "+", 
      RowBox[{"4", 
       SuperscriptBox["z", "2"]}]}], "\[Equal]", "16"}], ",", 
    RowBox[{"{", 
     RowBox[{"x", ",", 
      RowBox[{"-", "5"}], ",", "5"}], "}"}], ",", 
    RowBox[{"{", 
     RowBox[{"y", ",", 
      RowBox[{"-", "3"}], ",", "3"}], "}"}], ",", 
    RowBox[{"{", 
     RowBox[{"z", ",", "0", ",", "3"}], "}"}], ",", 
    RowBox[{"AxesLabel", "\[Rule]", "Automatic"}], ",", 
    RowBox[{"PlotLabel", "\[Rule]", "\"\<Elipsoide\>\""}], ",", 
    RowBox[{"AspectRatio", "\[Rule]", "1"}], ",", 
    RowBox[{"Axes", "\[Rule]", "True"}], ",", 
    RowBox[{"Boxed", "\[Rule]", "True"}], " ", ",", 
    RowBox[{"Mesh", "\[Rule]", "None"}], ",", 
    RowBox[{"ContourStyle", "\[Rule]", 
     RowBox[{"Directive", "[", 
      RowBox[{"Orange", ",", 
       RowBox[{"Opacity", "[", "0.6", "]"}], ",", 
       RowBox[{"Specularity", "[", 
        RowBox[{"White", ",", "25"}], "]"}]}], "]"}]}]}], "]"}]}]], "Input",
 CellChangeTimes->{{3.6990937901400137`*^9, 3.6990937957294855`*^9}, {
   3.6990938406784234`*^9, 3.699093955287883*^9}, {3.699094008392641*^9, 
   3.699094011732999*^9}, {3.6990940499761815`*^9, 3.699094081316449*^9}, {
   3.6990941437784305`*^9, 3.699094144358844*^9}, {3.69920050114435*^9, 
   3.6992005378944893`*^9}, {3.699200647165575*^9, 3.6992006481813135`*^9}, 
   3.6992010113686905`*^9, 3.6992010506886225`*^9, {3.6992020172539415`*^9, 
   3.699202026179285*^9}, {3.699202063873093*^9, 3.6992021221224723`*^9}, 
   3.6992023198762536`*^9},ExpressionUUID->"85b34745-e8f7-435e-95ef-\
b23950f823a2"],

Cell[BoxData[
 Graphics3DBox[GraphicsComplex3DBox[CompressedData["
1:eJxlmntYTXkXx083XSi5jUTUaBgGg4zJFDtJ7pdC4x0hYUhIJLlnEHpF5BIT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   "], {{
     {RGBColor[1, 0.5, 0], Opacity[0.6], EdgeForm[None], Specularity[
       GrayLevel[1], 25], 
      StyleBox[GraphicsGroup3DBox[
        TagBox[{Polygon3DBox[CompressedData["
1:eJwt1GlsTUEUwPG5r9tDFyGKVFBeqSV0Uy2tpZWmsQSPUEsaKeKDeEXLB0Qk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           "]], Polygon3DBox[CompressedData["
1:eJxNl3mUllMcx+/zkmlv2lAalYpUOMeRJYyixTCKSNOCmRQVKhyklPaFJlqF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           "]], Polygon3DBox[CompressedData["
1:eJwt1HtMj1EYwPHzRiqXWaZiNhslc9uYSLoR+SMV5d6wiWZKcokZZrZmNpfJ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           "]], Polygon3DBox[CompressedData["
1:eJwt0rsrxlEYB/Cf6+BeykKuxWtxeykbpSQTJiLpZSbxTxiQxfAyYpCYXEYM
yIIX5RKx2EgGVp9f72/41FOn85zzfM+pScwMTWcGQVBGLpUZQVBNFXXUUsGa
tROOOeOCc+6s3XDNLfekovqFJx555pURhhlnkFGaaaM1quO00BT2js465YpL
UnTTQZxW2uhiyp5JJojRSIJp5klSE804xwV/fPDGO19s67XBOjtssRmd1UkP
ffTTwhyrLJJFAbNhpsLN41fPH0rUpRRmprMKM8lXF1PEmD0rxKingYUgnUmY
1QC99NHOcjR7eIdyKlhij132OeKQAx5IRm8XZvvNZ3Tn8P3Dv5BNDtoH/y/Z
Paw=
           "]]},
         Annotation[#, "Charting`Private`Tag$2679#1"]& ]],
       Lighting->Automatic]}, {}, {}, {}, {}}, 
    {GrayLevel[0], 
     Line3DBox[{33, 34, 46, 47, 180, 191, 268, 272, 274, 219, 220, 250, 248, 
      235, 234, 241, 423, 444, 437, 439, 453, 488, 490, 516, 514, 513, 511, 
      381, 379, 377, 376, 390, 392, 388, 389, 399, 398, 402, 403, 129, 130, 
      132, 134, 103, 104, 138, 139, 147, 33}]}},
   VertexNormals->CompressedData["
1:eJwVl3c41e8bxyWVERJNqyE7hazCQ5SMkpD2IKXskZXsEi2iKCn0tTKyMjJu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    "]],
  AspectRatio->1,
  Axes->True,
  AxesLabel->{
    FormBox[
     TagBox["x", HoldForm], TraditionalForm], 
    FormBox[
     TagBox["y", HoldForm], TraditionalForm], 
    FormBox[
     TagBox["z", HoldForm], TraditionalForm]},
  BoxRatios->{1, 1, 1},
  DisplayFunction->Identity,
  FaceGridsStyle->Automatic,
  ImageSize->{335.5220431250334, 349.00202267356326`},
  Method->{"DefaultBoundaryStyle" -> Directive[
      GrayLevel[0.3]]},
  PlotLabel->FormBox["\"Elipsoide\"", TraditionalForm],
  PlotRange->{{-5, 5}, {-3, 3}, {0, 3}},
  PlotRangePadding->{
    Scaled[0.02], 
    Scaled[0.02], 
    Scaled[0.02]},
  Ticks->{Automatic, Automatic, Automatic},
  ViewPoint->{-2.856284845239552, -0.8974059795817609, 1.5768003648736795`},
  ViewVertical->{-0.16502618069846522`, 0.028836538020946295`, 
   0.9858675437192586}]], "Output",
 CellChangeTimes->{{3.6990939099436584`*^9, 3.699093955976373*^9}, 
   3.699094012601633*^9, {3.699094060212452*^9, 3.6990940817527604`*^9}, 
   3.6990941456197414`*^9, 3.6992004287379084`*^9, 3.699200648473502*^9, 
   3.6992010122953367`*^9, 3.699201052665027*^9, 3.699201316631502*^9, {
   3.6992020198637967`*^9, 3.699202026754695*^9}, {3.6992020661677055`*^9, 
   3.699202082068025*^9}, {3.699202112181405*^9, 3.6992021224376945`*^9}, 
   3.699202260364718*^9, {3.6992023209480324`*^9, 3.6992023311169386`*^9}, 
   3.699202370762035*^9, 3.699210369520037*^9, 3.699812023544038*^9, 
   3.7014240614241943`*^9, 3.7014257336196685`*^9, 3.70142671550506*^9, 
   3.7014287354702034`*^9, 3.7014453421596327`*^9, 3.7014456789830217`*^9, 
   3.701446865540114*^9, 3.729931836538081*^9, 3.730022958955475*^9, 
   3.732296503566483*^9, 
   3.7655628566840677`*^9},ExpressionUUID->"d5675f38-8505-4a22-ae2c-\
7d36fc2d7ca3"]
}, Open  ]]
}, Open  ]],

Cell[CellGroupData[{

Cell["Curva param\[EAcute]trica de intersecci\[OAcute]n:", "Subsubsection",
 CellChangeTimes->{{3.699202227631457*^9, 3.699202237315405*^9}}],

Cell[CellGroupData[{

Cell[BoxData[
 RowBox[{"c", "=", 
  RowBox[{"ParametricPlot3D", "[", 
   RowBox[{
    RowBox[{"{", 
     RowBox[{"t", ",", 
      SuperscriptBox["t", "2"], ",", 
      SqrtBox[
       RowBox[{"4", "-", 
        SuperscriptBox["t", "4"], "-", 
        FractionBox[
         SuperscriptBox["t", "2"], "4"]}]]}], "}"}], ",", 
    RowBox[{"{", 
     RowBox[{"t", ",", 
      RowBox[{"-", "4"}], ",", "4"}], "}"}], ",", 
    RowBox[{"PlotStyle", "\[Rule]", 
     RowBox[{"{", 
      RowBox[{
       RowBox[{"Thickness", "[", "0.02", "]"}], ",", 
       RowBox[{"RGBColor", "[", 
        RowBox[{"0", ",", "0", ",", "0"}], "]"}]}], "}"}]}]}], 
   "]"}]}]], "Input",
 CellChangeTimes->{{3.6990935804049783`*^9, 3.6990936375175676`*^9}, 
   3.699093714751975*^9, 3.6990938445862007`*^9, {3.699200466679858*^9, 
   3.69920049608075*^9}, {3.699200651104373*^9, 3.699200651664774*^9}, {
   3.699200867951782*^9, 
   3.699200903454013*^9}},ExpressionUUID->"675fc015-9172-4e25-afd4-\
e2e2cb5d8d25"],

Cell[BoxData[
 Graphics3DBox[{{}, {}, 
   TagBox[
    {RGBColor[0, 0, 0], Thickness[0.02], Line3DBox[CompressedData["
1:eJwV1mk4lV0bBmBRkUJ6k7fIJxWFQqEIV2WWoUJkSoOERqQyU0lIhUQqISlK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      "]]},
    Annotation[#, "Charting`Private`Tag$2698#1"]& ]},
  Axes->True,
  DisplayFunction->Identity,
  FaceGridsStyle->Automatic,
  Method->{},
  PlotRange->{{-1.37067179496161, 1.370685984191984}, {0., 
   1.878780067260348}, {0., 1.9999999763056342`}},
  PlotRangePadding->{
    Scaled[0.02], 
    Scaled[0.02], 
    Scaled[0.02]},
  Ticks->{Automatic, Automatic, Automatic}]], "Output",
 CellChangeTimes->{
  3.6990936382681026`*^9, 3.6990937149451036`*^9, 3.69920042877792*^9, {
   3.699200482170864*^9, 3.6992004966051226`*^9}, 3.699200652415305*^9, {
   3.6992008688724365`*^9, 3.699200904217557*^9}, 3.6992013166735325`*^9, 
   3.699202260398741*^9, 3.699202331148981*^9, 3.6992023707940564`*^9, 
   3.6992103695600843`*^9, 3.699812023632616*^9, 3.7014240614842553`*^9, 
   3.7014257336566935`*^9, 3.701426715543085*^9, 3.701428735523241*^9, 
   3.701445342202674*^9, 3.701445679024053*^9, 3.701446865725258*^9, 
   3.7299318365750113`*^9, 3.730022958988748*^9, 3.7322965036026793`*^9, 
   3.765562856720786*^9},ExpressionUUID->"17624def-a6c7-4d55-9ce9-\
727ec9a46203"]
}, Open  ]]
}, Open  ]],

Cell[CellGroupData[{

Cell["Gr\[AAcute]fica del conjunto:", "Subsubsection",
 CellChangeTimes->{{3.6992022421958237`*^9, 3.699202247310442*^9}}],

Cell[CellGroupData[{

Cell[BoxData[
 RowBox[{"Show", "[", 
  RowBox[{"s1", ",", "s2", ",", "c", ",", 
   RowBox[{"PlotRange", "\[Rule]", " ", 
    RowBox[{"{", 
     RowBox[{
      RowBox[{"{", 
       RowBox[{
        RowBox[{"-", "5"}], ",", "5"}], "}"}], ",", 
      RowBox[{"{", 
       RowBox[{
        RowBox[{"-", "3"}], ",", "3"}], "}"}], ",", 
      RowBox[{"{", 
       RowBox[{"0", ",", "3"}], "}"}]}], "}"}]}], ",", 
   RowBox[{"ImageSize", "->", "Large"}], ",", 
   RowBox[{
   "PlotLabel", "\[Rule]", " ", "\"\<INTERSECCI\[CapitalOAcute]N\>\""}]}], 
  "]"}]], "Input",
 CellChangeTimes->{{3.6992006551792727`*^9, 3.6992006629218388`*^9}, {
  3.699200810743127*^9, 3.6992008495847397`*^9}, {3.699200949377624*^9, 
  3.6992009646454725`*^9}, {3.6992103448789687`*^9, 
  3.699210355458047*^9}},ExpressionUUID->"452ea12e-5b35-41ec-b4e6-\
f4e3997545c5"],

Cell[BoxData[
 Graphics3DBox[{GraphicsComplex3DBox[CompressedData["
1:eJyFmnuIXOUZhyeby0qttiBqFVoUDiJURIIaRNt3QSyOIoKGgg1FmjaLSo4h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    "], {
     {RGBColor[1, 0, 1], Opacity[0.5], EdgeForm[None], 
      StyleBox[GraphicsGroup3DBox[
        TagBox[Polygon3DBox[CompressedData["
1:eJxVmQkYV8Maxs/YSupWIkVZS8jerbgRKiGRkBRpkSVUSFEpyhKRyJZEJYWy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          "]],
         Annotation[#, "Charting`Private`Tag$2653#1"]& ]],
       Lighting->Automatic]}, {}, {}, {}, {}},
    VertexNormals->CompressedData["
1:eJxTTMoPSmViYGD4zsjAwAykP5gXuWRwv9/fq3irL4P7/H4GKHBP2P80cMe7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     "]], GraphicsComplex3DBox[CompressedData["
1:eJxlmntYTXkXx083XSi5jUTUaBgGg4zJFDtJ7pdC4x0hYUhIJLlnEHpF5BIT
g8ll5JIkg3Q2hTSuZZRKo1KIqE7ndJw657zzR9+132edf+p5Ps/3WXv91v6d
316Xn1NgiO98Y5lM1u7fPyb//h82ZvkfBUVmHn0t2nq+1dXKf17RM7j3o2ph
8ICvFtqdMfew3RjmOr3pjbxuS/e4gHe1gnqkbttBM1PSt+u/4Pxr71qh4MN/
345uYUl6RWtTmyt5n4inbguOP72liuzDzgOHH3r8HVhL9mU3Z60KSJbsQL8z
x8Jxf5+WxN8VmyfH3X9D9nd2uGrvq/xEHP7DT3A8N3iKi8v8RqUB37c1O7yn
ST0991iFf6jO2cZje9GOF3Jlvnyx99v6pqxSYd3hpUfa37HxkNnuOrt2zlgB
/M+4TmM0LSR9UMTtz/F7yohDnznkZYSvc6WQ3k0MKnS0Jj386d/2i1snE1sS
hz9NRyY9qT5nTXagP6P9IyVjeivi0Lv2nmv8c4El2UGcETex8PTsmM2lxGNr
XvS5rjelOA+YfLkm6X29IMtyfNk20pzsgMMOeJzPBsHVVCEkd2hQbNhpRf7w
/QP742YntV9YppT2Q2QPB7nXe7Kf1X/cyLdbrEmfPT9RM/TTXcHx3dDE/FYS
L5m9Z8WDyHyK8+Lw9QUWYRWkB0+0+bQtLa+M9Ign7NSabmr38PbOYdBHhrjO
dBxUSbzVvZ7VN7xakZ6/d9ut70a3+rmQeILilfvcLEvah3gu4gbevc2bk1u/
LiXu9qjE1qqdgvQ1h0eLXm8tSA/70K/+3O9FeaHE7Z7WBHZ8Ie1D2Em305l8
7dOaOOLTdCBmkdvL1vS+wOu3Gu/uu1risDN9UuT93vMlO4iPvfH9NceMbUkP
XhAT8YPHbiOKW0jnERMbqhuEQcNKJz6w1AngfUq+7jL00GfiBafKJ3bs8JH0
WxQPjrR9qCb9+crcJM8ajRBRcycmyKKeeLYy57GuspG4s6vt5uJBHwz08P/x
M6+qJdlaei749TVm8ntHG4kPmjX2yKbupWQn+2DfNuP6KEj/4VKg5a46rbBs
5LRD1javicdsuHllvrWeOOLzR9jo/LwjevIHvKOV95CKeTriateQihl3nhna
9xyc/E/318QjNbtM7iSoBOwTxA12wOtr274IiFATT/bZNFGXUkd62IE/sL+l
OrdLGzcZvXfEYdHlEOfvBCN67+CIG/i3n9a5jR7VJKS6ZcsSZ5uSHTw3cF/A
+ttuZmQHHOcD9O3SMpUD3dXEoU8LuvRbeo3ERUV6+1HexWRfVjNlaL9YP4rD
tEmrJ5aFaiie4HH5hduiPn8mvd9PERcmuCnJDvRR3T5YuSfVE8fvEf58MfzG
g0/1CrKD/bnSb/ruGcnSewS/XHItW/+9lvRnM058lzu2luIM/f47b5KvR9dI
+/li6qNvBlnQc+ncbraDuClXhThdXKInDn2bpRpPB53ELT7s79ZnXyXtq3iL
nkvXuJh45D55tyBR30DnjPuPqrCha42I43uE9x56qq6NrkhDevCLTz0L83//
bPD9hR1N/Nhrpf8tIv3W384f6JDQSOcY9GeGzbuV5KYmDv8Pxy/s3Ne/ib6b
iFt1+oqFXV83Eoe+stf+SXVrNfQdhH7IxGMJ5SYSh37Dg4sj/M5pyX/o6yf5
bho7XmsQh4FrT4xxbt9E5y38j1hdM+/mX2ri0K8a8rR3b68mOlehv/l9N+/M
RjVx/H4v7ul+zKuLluJM52GXlv9xamokf8Azo0uc/Yu1FDdwxAHxgT9zI797
dbKl2iCeeF+zw9M7L9hTT3bAv5n+IO/j73WSP/6941I3qymeT8Lmtn/soCM9
7OP8AYce/oDHpRyJdymsFmK/6jLla6tC4nz/g59JurmopK+SOPYP17cuft91
V5ie4oP1bp29y/+X9nqD/aYp6384PFVH8Yd+2c95+YumStz/pnOjUFwnrDp0
KyZApjOIP/jtHgV9r67MI/vgDn/ez5vnXkn2wafOuVR3qKyc9Iemjyk99ExP
+wp6rAsc+pCW7qWTjGUi9hX0Uw/by/Yl6g322wRz9zcL3HVkBzzuzqLsJYt1
pJfpQgYf3aIkP6Fv7xhVfW28ijj0yUfaKRrvVhFH3JCX4j3CDr4j4Ihn9syS
q/KeZsQpD2k+n5f3GBDl/F5hwPsuND7Z9YaC7Lco/3bL1s0mlHdhH+I7CI79
g/0JXvsq49q0HCVxu5BRjuaNdaTH73rStjUzdo2TztXi0GW/h0+2IvsUt3/C
+q2LkDh/Xy9MChwOJ0n7H+8lJiWn+8J2KgM/R9f/6hlYrqR1zYs52tF2sblH
fNCgaU62BfQdQZzB8b3De7G7O0a13fKtwNcFzvP8J5sWxJ4JKCY7qNeg53UK
nov6Ajzbab1DRmwp6VFPQc/rKXBeV+K50M+LKr40M8GSOK+nYIf7CT3qX9TX
KUlNxyLN6gRe/4Kjjga373X5b7llPekTNCdOdNhnTnr+3cw5GHVc804p8Lo4
/ZGHX8GeKrIDPraf9+LhRjUGdnxvOW9dElRL60L9gufy+gX8/l7N2BW2Uj2S
EXo/5EQnBelRNyE+vH7RJXRyXVdaSxx1CuKM/Y+6BpzXI+D4XaBugp+wb2/m
7XZ8nKmHX9izu+4t1ALPK8D3/hY/If6bIik/6T3/eg/fBrKDOhTrgh30DeAP
rxPBeX/Asd2+rCWRhQb6eQf3zytNLhN4ndtH3/2Ki0+FwOtcD3XJkHFtKikO
b9Mm/2jTU0bPRd6IdYEjr0adhXXxugl6XjeBo26CHnZQl0GvrqxZfU5WSvaR
T0LP60Rw/dGUjy4xn+m7hveLvB3PBUe9A33lXGH100P1Aq+PBiuDzx+4Vifw
PB/PRX4Obh+U23rKnhqD+LwV02abt/1gwC3udZpz859nVE9hXa+q/2w1+suP
9NzxMdER8jAV+c/rF/gzumPZHN9EqV6wdQl+6X+8UuB1YuyOlkttB7wmjvfe
r2yio5entP9je/eKGvnv+Yr3yPXP7jUWfvJ5T+e86tqPC66+l34vPL/VdCnK
nJYrcXyXoef5bdd1y1OnV0kc6+oXGLNvkU8txRMc8UEdB16oDbSuHK40iBvW
hToI8QEPEEZt9zfSC86THZf9kFonaNzPfVC30Ak8TwOvcwnzc76SS7zH4wFx
tTlageeHXZtcPAYW6QWej+3d+Hx9j7UShx6c55+Vv5fmdDTRG/iTe7aHt2yE
zsB+WsmSpb3i9ALP31SWGYNNZuiILzp3PuOXEBM6J3H+49wA5/nDWddPyQ1P
lQLPz4+2HbjxNyOFgR52so6P3jk+Q8rDB8y8ZJtgJvOAPx6ZVi9rwqsozjyv
hv+cQ39sXoH7ypRyio/N83CbQiutgT5c4f6qzFcr8Ppor1x59ZpxE/HilE2B
qc4qsg8/H8QGJ8X7K4nzOk5TfGPH7bFNpAdP6xpzJt2+yeC9b4jq/NnmhrQu
qi+a7aNvDG687PCJjymS/1jXrNO31w1MaRB4HvhR5bBXa6QiDj1+jwO/9/44
c6ukB9fZ+Z2qOFgnxJvP3nFfqSXO60TwIYMuDXW6LfG7WdsnumkaSI9+AvS8
nwCOdcnM3zyq6FVA9nm9Br528aihfzsp6fwEx/5EP5m+R+h/NveBwfnvZdHD
jReif9GQ/+AH9O3rxkerDfb/wJV9hyw7+5n8R96O/Q/7yPPB4Q/yItX9zhXp
tQqB1ykpLatNrt5SGOw3qxHxyvMnGul8oHq5amRkXI7GYF9hXbzvkVEb3bjW
SuJ0Djd/L/j+WR4w615aVaPA+yrY/+BFru/6JewwEnm/qCDHSxvVVifnfQBt
zdJ1Cr2JyOc14HxeY7XrWETpehOR12vQg3uEvCys9pU4n0O577v9/RadVs77
DOC8bkpef1xl/vKFnPcfIms7Bq9vKJfzPgk47y8lXD4Y+Lyvicj7bPAztLLN
+D1zDTn0F/Z3D2mRXiRET172Yd0elZz3TyK9T4c7aRVy3p/Bunh9Cj2vH7fH
j2iz5DuZyOtfvF/e54d9XhfDf+hXHXXyDP0ocT4Pgh0+F8B6ed8b/ucl2wlG
f/1ff7s5/rx/As77eOC8nwN/eH8MnPc5D0dahWjVdXLe/xHHPM8KTq6S874H
/Of9OnDe94OfvE8FPe8HQs/7otDzfiC4y41bm6/+qjbYV3iP9YOGa80VjWQf
/JVDf5WFl5b0fC4DPe9vQ4/36zRgR4tFW9Sk5317cN6fxz7hcw28Lz73wXP5
nAh6PteAns9rbqeltHnyTi3ncyvY4XMl2OHzoCfVNhpjJ8kfmvs0r5fPm8D5
vIn0bH50rdJVqf+PqcjnMvg98vkL+ORl9vm+p4oNfl+8H4X18nnfAuFpaNfB
ZiKf+8A+ePmZng/vNKnp/OFzKMv9gSVxE4xEPoeqG3kt9ViZhcjnp27F+/3D
TpiL/J4A4sD7isUHm4oTZZakz7cWZ5ydXkqcz23B+XwW/O27Om1S2xp6rvvf
eapbuZJ92Nn/61inLzSSP/jukz+sb3nujP1p+ymtRD6njl25un1tj5Yiv0eR
kdN/1uDO1iKfp7dY+Dg4/aylyO9j4Ln8Xgfs8PsMhzd6Ro+/YS3yewvXh0UP
9TOyIb3Dyl8v3rxVRhx69L1H1JcdGfTcTOT3VeAP/Jywq2bhvfefhOyiG0O8
NkrrQnxgn98TAOf3BPSjxawxpyU7yMeg5/cEwOONRrW0uyvdB2jov2LzjhWt
RT43FzOXqjePkzj8cb1oXJWgby3yebrMUzfrYL7EoU9LKe8S/kaKJ/xPjH04
/6duEuf+8Pk+fnd8PgXO525/WUw61/lLM5H326Hncyu76IovC5ZbibyPXdql
9GDuWInzfY58D/rIkf/sWSaX9gnWZTXVp5vfaqWczx1wroKHd79UXnQyj84l
PqcD5/PHLuELnocOV8n5/AJ6Pr8D5/NQ+MPnKeB8noJzlc9lwPl854nCYq3p
5ZYiv0fUP/dBpZ2Nmcjv+eDc4PeIcC7xe0R4L6aHnnvEXZbuEeFc5ffHTEP2
PF26xlzk94hgB1yMrV883FYhrP3pq8xt/SxEPteGns/ZU8UFbwujrER+7yiw
XYvXDU/q5LyfMznk4YWAgCo57zMgnrzfAs77D+C8/wDO+wzgvP8Dzvs22A+8
jwHO+xXgvB/lWx48Z1WQSs7rYujBUReA8zr3xEyP5ZuqtHLeB4Ce18tYF68T
wXm9id8L7yfQ75TV1x7GC4IOrTQSed/gtcXccYs7qeS8b5NbOX7fZB+lnPdt
YJ/3bcB53wbnG+9zgvP+KuzwOh1x4305qtdYfw8c/p/qP6HVmIpcwXH24uV3
mvLlvE+COPM+DzjvF8F+W78rv8jsVQac98lhxyrzedCzS/UG+ZtnkeXJGcaf
DeLJ+xKof3lfCHbAvRNCTW7OKKLn8v48OO97I3/m/W2si881wPn8Avahp3y7
Wc/7/DvHXIjKuaWW83kK9H02VnhYe0rzAtQpvP9PdXqzHeTPsMPnHdDz+QL8
53MTcD7XQD7M5794L3x+hPycz5ugD9Bl+aaKxQbr4vMjcPeT3Wak9JfmROgz
8DnR8aM+A+QZliKfV+J7Ab5+d54s3kPKw/m8Et9BPq9E/sznxbDD55jgfN6K
eoTPJfHd5HNe5Fd8boK6gM9f8FzeP6Q4sP4h8i7eh0Q+z+ebDslp32pHSs8F
R77B5+zIH/jcHPUFn7PDT3Dk8+CtXiXpMkVp7g8/+dwfenDkFYgzv29A/TQ2
5wVH/xz2kVfzOS/l/808U3VhatIfZZSf8/k19Gd210atflVoYOfctKyRb15J
81/UC3w+jnyez8FhJ+ym74Ehm6R5MdVfadadfYZL82LUO7wfjnqK98+Rz/P+
dsiPXS+XBJmIfK6EePL7D+D8/gPOAT5HAMf9B26f32cA5/dSYIfPrcBpXc19
S5xvfC4G+3xOin3I72MgH+b3bZCf83s1qH/5fZL/AemVzC4=
    "], {{
      {RGBColor[1, 0.5, 0], Opacity[0.6], EdgeForm[None], Specularity[
        GrayLevel[1], 25], 
       StyleBox[GraphicsGroup3DBox[
         TagBox[{Polygon3DBox[CompressedData["
1:eJwt1GlsTUEUwPG5r9tDFyGKVFBeqSV0Uy2tpZWmsQSPUEsaKeKDeEXLB0Qk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            "]], Polygon3DBox[CompressedData["
1:eJxNl3mUllMcx+/zkmlv2lAalYpUOMeRJYyixTCKSNOCmRQVKhyklPaFJlqF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            "]], Polygon3DBox[CompressedData["
1:eJwt1HtMj1EYwPHzRiqXWaZiNhslc9uYSLoR+SMV5d6wiWZKcokZZrZmNpfJ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            "]], Polygon3DBox[CompressedData["
1:eJwt0rsrxlEYB/Cf6+BeykKuxWtxeykbpSQTJiLpZSbxTxiQxfAyYpCYXEYM
yIIX5RKx2EgGVp9f72/41FOn85zzfM+pScwMTWcGQVBGLpUZQVBNFXXUUsGa
tROOOeOCc+6s3XDNLfekovqFJx555pURhhlnkFGaaaM1quO00BT2js465YpL
UnTTQZxW2uhiyp5JJojRSIJp5klSE804xwV/fPDGO19s67XBOjtssRmd1UkP
ffTTwhyrLJJFAbNhpsLN41fPH0rUpRRmprMKM8lXF1PEmD0rxKingYUgnUmY
1QC99NHOcjR7eIdyKlhij132OeKQAx5IRm8XZvvNZ3Tn8P3Dv5BNDtoH/y/Z
Paw=
            "]]},
          Annotation[#, "Charting`Private`Tag$2679#1"]& ]],
        Lighting->Automatic]}, {}, {}, {}, {}}, 
     {GrayLevel[0], 
      Line3DBox[{33, 34, 46, 47, 180, 191, 268, 272, 274, 219, 220, 250, 248, 
       235, 234, 241, 423, 444, 437, 439, 453, 488, 490, 516, 514, 513, 511, 
       381, 379, 377, 376, 390, 392, 388, 389, 399, 398, 402, 403, 129, 130, 
       132, 134, 103, 104, 138, 139, 147, 33}]}},
    VertexNormals->CompressedData["
1:eJwVl3c41e8bxyWVERJNqyE7hazCQ5SMkpD2IKXskZXsEi2iKCn0tTKyMjJu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     "]], {{}, {}, 
    TagBox[
     {RGBColor[0, 0, 0], Thickness[0.02], Line3DBox[CompressedData["
1:eJwV1mk4lV0bBmBRkUJ6k7fIJxWFQqEIV2WWoUJkSoOERqQyU0lIhUQqISlK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       "]]},
     Annotation[#, "Charting`Private`Tag$2698#1"]& ]}},
  Axes->True,
  AxesLabel->{
    FormBox["\"x\"", TraditionalForm], 
    FormBox["\"y\"", TraditionalForm], 
    FormBox["\"z\"", TraditionalForm]},
  DisplayFunction->Identity,
  FaceGridsStyle->Automatic,
  ImageSize->Large,
  Method->{},
  PlotLabel->FormBox["\"INTERSECCI\[CapitalOAcute]N\"", TraditionalForm],
  PlotRange->{{-5, 5}, {-3, 3}, {0, 3}},
  PlotRangePadding->{
    Scaled[0.02], 
    Scaled[0.02], 
    Scaled[0.02]},
  Ticks->{Automatic, Automatic, Automatic}]], "Output",
 CellChangeTimes->{{3.699200663681332*^9, 3.6992006845151176`*^9}, {
   3.6992008502401953`*^9, 3.6992009662776327`*^9}, 3.699201056339638*^9, 
   3.6992013167165623`*^9, 3.6992021271940746`*^9, 3.6992022604317646`*^9, {
   3.699202325652359*^9, 3.699202370817073*^9}, {3.699210356693923*^9, 
   3.6992103695810814`*^9}, 3.6998120236796494`*^9, 3.70142406151626*^9, 
   3.7014257336897182`*^9, 3.7014267155651016`*^9, 3.701428735556264*^9, 
   3.7014453422767196`*^9, 3.7014456790490875`*^9, 3.701446865819319*^9, 
   3.729931836607729*^9, 3.730022959085951*^9, 3.732296503629328*^9, 
   3.7655628567717743`*^9},ImageCache->GraphicsData["CompressedBitmap", "\<\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\
\>"],ExpressionUUID->"1895328a-c8d0-48a7-b534-9134196e866e"]
}, Open  ]],

Cell[BoxData[
 RowBox[{"ClearAll", "[", 
  RowBox[{"s1", ",", "s2", ",", "c"}], "]"}]], "Input",
 CellChangeTimes->{{3.6992018988644667`*^9, 
  3.6992019098722725`*^9}},ExpressionUUID->"326d94cf-b875-44b3-8162-\
6e932fa767c2"]
}, Open  ]]
}, Open  ]]
}, Open  ]],

Cell[CellGroupData[{

Cell["Ejercicio 5:", "Section",
 CellChangeTimes->{{3.699202420420328*^9, 3.699202425386923*^9}}],

Cell[CellGroupData[{

Cell["Enunciado:", "Subsection",
 CellChangeTimes->{{3.6992024331974077`*^9, 3.6992024352188487`*^9}}],

Cell["\<\
Escribir la ecuaci\[OAcute]n vectorial de la recta que pasa por el punto (2 ; \
4 ; 5) y es perpendicular al plano 3x + 7y - 5z == 21.\
\>", "Text",
 CellChangeTimes->{{3.6992024373154*^9, 3.6992024986079597`*^9}}],

Cell[CellGroupData[{

Cell[BoxData[
 RowBox[{"p1", "=", 
  RowBox[{"ContourPlot3D", "[", 
   RowBox[{
    RowBox[{
     RowBox[{
      RowBox[{"3", "x"}], "+", 
      RowBox[{"7", "y"}], "-", 
      RowBox[{"5", "z"}]}], "\[Equal]", "21"}], ",", 
    RowBox[{"{", 
     RowBox[{"x", ",", "0", ",", "10"}], "}"}], ",", 
    RowBox[{"{", 
     RowBox[{"y", ",", "0", ",", "10"}], "}"}], ",", 
    RowBox[{"{", 
     RowBox[{"z", ",", "0", ",", "10"}], "}"}], ",", 
    RowBox[{"AxesLabel", "\[Rule]", "Automatic"}], ",", 
    RowBox[{"PlotLabel", "\[Rule]", "\"\<Plano\>\""}], ",", 
    RowBox[{"AspectRatio", "\[Rule]", "1"}], ",", 
    RowBox[{"Axes", "\[Rule]", "True"}], ",", 
    RowBox[{"Boxed", "\[Rule]", "True"}], " ", ",", 
    RowBox[{"ContourStyle", "\[Rule]", 
     RowBox[{"Directive", "[", 
      RowBox[{"Magenta", ",", 
       RowBox[{"Opacity", "[", "0.7", "]"}], ",", 
       RowBox[{"Specularity", "[", 
        RowBox[{"White", ",", "25"}], "]"}]}], "]"}]}]}], "]"}]}]], "Input",
 CellChangeTimes->{{3.699202506060201*^9, 3.699202600986289*^9}, {
  3.6992031070231743`*^9, 3.6992031087103734`*^9}, {3.6992031635543513`*^9, 
  3.699203180826643*^9}, {3.6992032637304163`*^9, 3.699203263910561*^9}, {
  3.6992042659853506`*^9, 
  3.6992042664547033`*^9}},ExpressionUUID->"c7f6ec1d-1166-481b-9cd4-\
8f7f25be2c97"],

Cell[BoxData[
 Graphics3DBox[GraphicsComplex3DBox[CompressedData["
1:eJxlXXdcj+33b6K9tXeiSWnI6kORXUYhJCoJGfHIXkUqM4SskGxtlbJnZKak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   "], {{
     {RGBColor[1, 0, 1], Opacity[0.7], EdgeForm[None], Specularity[
       GrayLevel[1], 25], 
      StyleBox[GraphicsGroup3DBox[
        TagBox[{Polygon3DBox[CompressedData["
1:eJwl1nmUj2UYxvHfMIy9juz7bhTGMmbsDcY2jcFYI8mWtBAlSkUqy0GyqxQt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           "]], Polygon3DBox[CompressedData["
1:eJw13Hfgf2P5BvD3Ou/zJnvvnZVV9l7ZM6KEhBAyCtlCKXtECJUZGREJpbKy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           "]], Polygon3DBox[CompressedData["
1:eJwt1nmUTnUcx/HLGERhzpStiUhSKEIaa9qodJRSMonmYEyWabFLUcmSrUOb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           "]], Polygon3DBox[CompressedData["
1:eJwl0k1IVFEYh/Ezac6ESh+0EgaUrF1kC4tyMfTlJqgwN0aQJRgt0sLFZGkQ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           "]]},
         Annotation[#, "Charting`Private`Tag$2721#1"]& ]],
       Lighting->Automatic]}, {}, {}, {}, {}}, {
     {GrayLevel[0], Line3DBox[CompressedData["
1:eJwl0k9I1EEAxfHxT2l47bYtGmpWmBBqXYRSCjx18NYfJQ0SpDIJkgoCUSqX
sPAUQREZSGIWuFiym9GhCKQOHQrKpExaiv6JERQFfYYOj+97b2Z+OzM7azu6
W47khRAylF4RQvQrqT0/hDrcj0/0tfxWGpRPYCed4g/iJezHIezDZGEIF/Fw
QQj3fPAATuGEPoudcgZ7cRrH9OPYKu+jMX4P3sRrxm7gbnkEr9Nl3dU4Ro+K
Qrgij/K3qMXmJ/CxfkR/m79Ds3JaPsr30AP5nHyMjxfQaN0hnNGf0Xfxx2lB
XpTXOVsVDZhXge/0C/pyvoly8md5O99In+QleUu8R0pZV4+L+px+E7+Rzuo3
4HqqpjnnfOt3z+N83I+573FIvkAf4n1hobl5tMp/Myqn3Pdw3B+epJ/WpeTT
/Ev8gZP0W5+W7/JZfIhz+BFz9Mf4c/kN/wzn8Rv91b+Qv/NL9IWadMX2/5Vf
jm9CrpTL7LEUSzFBbfqknOQ3U3c8v1zHV2NtJHXpq+QavoB2yavlbb79yxkb
8Knz7sRZ3IHF5uzF13Iblsit+Epeg/cxEd8k2X5ozv//zv8BezdkDw==
       "]]}, {}, {}, 
     {GrayLevel[0.2], 
      Line3DBox[{609, 606, 1727, 605, 1726, 588, 1295, 587, 1721, 594, 1305, 
       629, 1738, 628, 1307, 625, 1735, 624, 1734, 1304, 622, 621, 1792, 1347,
        740, 741, 1794, 743, 1793, 1348, 742, 751, 1798, 1351, 750, 767, 1811,
        1362, 738, 739, 1791, 736, 1789, 1345, 735, 721, 1783, 1341, 717, 
       718}], Line3DBox[{635, 634, 1747, 648, 1314, 647, 1746, 646, 1326, 680,
        1762, 681, 1765, 685, 1328, 684, 1766, 1330, 675, 600, 1723, 1299, 
       598, 599, 1724, 602, 1801, 1354, 754, 756, 1802, 1355, 755, 765, 1808, 
       762, 1806, 1359, 710, 696, 1772, 1333, 695, 690, 1769, 1331, 689, 699, 
       1774, 698, 1773, 1334, 697, 700}], 
      Line3DBox[{649, 644, 1744, 642, 1313, 643, 1745, 645, 1761, 678, 1323, 
       677, 1767, 686, 1329, 683, 1764, 682, 1763, 1327, 601, 596, 1722, 1298,
        595, 597, 1800, 1353, 753, 764, 1809, 761, 1805, 1358, 760, 763, 1807,
        1360, 705, 688, 1768, 687, 1770, 1332, 691, 702, 1775, 1335, 701, 731,
        1786, 1343, 730, 732}], 
      Line3DBox[{650, 1748, 651, 652, 1430, 1895, 933, 934, 1435, 1904, 946, 
       947, 1437, 1906, 943, 1902, 944, 904, 1418, 1879, 905, 812, 1380, 1836,
        813, 1845, 829, 828, 1388, 1848, 833, 822, 1383, 1840, 823, 825, 1384,
        1842, 826, 1843, 806, 803, 1377, 1833, 799, 1376, 800, 1832, 801, 
       1863, 872, 1406, 876, 877}], 
      Line3DBox[{654, 653, 1317, 661, 1751, 660, 1316, 639, 1742, 637, 1311, 
       638, 1743, 641, 1760, 1325, 679, 671, 1756, 1321, 670, 666, 1753, 665, 
       1755, 1320, 669, 617, 1731, 1302, 616, 615, 1733, 1303, 620, 772, 1816,
        773, 1815, 1366, 770, 704, 1776, 1336, 703, 716, 1782, 713, 1779, 
       1338, 712, 711, 1781, 1340, 715, 727}], 
      Line3DBox[{658, 657, 1315, 1749, 655, 656, 1429, 1894, 932, 1903, 948, 
       950, 1438, 1907, 945, 906, 1419, 1880, 901, 902, 1417, 1878, 903, 1881,
        896, 830, 1386, 1846, 831, 832, 1387, 1847, 824, 1841, 821, 791, 1372,
        1827, 792, 787, 1371, 1825, 788, 804, 1404, 1864, 873, 1865, 874, 
       1407, 878, 1866, 875, 1405, 866, 867}], 
      Line3DBox[{664, 663, 1318, 662, 1752, 659, 1750, 640, 1312, 633, 1741, 
       632, 1310, 636, 1759, 1324, 673, 672, 1757, 668, 1754, 1319, 667, 676, 
       1758, 1322, 674, 619, 1732, 618, 1803, 1356, 757, 759, 1804, 1357, 758,
        771, 1814, 1365, 709, 708, 1778, 707, 1777, 1337, 706, 714, 1780, 
       1339, 694, 693, 1771, 692}], 
      Line3DBox[{722, 723, 1344, 1787, 733, 1788, 734, 737, 1346, 1790, 728, 
       729, 1363, 1812, 747, 1797, 748, 749, 1352, 1799, 752, 745, 1350, 1796,
        746, 744, 1349, 1795, 612, 1729, 611, 610, 1306, 1739, 593, 1297, 591,
        1719, 592, 1720, 590, 1296, 589, 1725, 603, 1300, 604, 1728, 607, 
       608}], Line3DBox[{726, 1785, 725, 724, 1342, 1784, 719, 720, 1361, 
       1810, 766, 768, 1364, 1813, 769, 1819, 777, 778, 1368, 1820, 774, 775, 
       1367, 1817, 776, 1818, 623, 613, 1301, 1730, 614, 1308, 630, 1740, 631,
        1309, 626, 1736, 627, 1737, 586, 1294, 585, 1718, 583, 584}], 
      Line3DBox[{857, 1395, 856, 862, 1859, 863, 1858, 1399, 844, 843, 1851, 
       1390, 842, 846, 1868, 879, 1867, 1408, 810, 811, 1838, 1381, 819, 820, 
       1839, 1382, 814, 815, 1923, 977, 1922, 1450, 976, 961, 1911, 1442, 960,
        993, 1930, 992, 1933, 1457, 997, 998, 1934, 1458, 980, 979, 1924, 
       1451, 978, 989, 1928, 988}], 
      Line3DBox[{858, 1396, 845, 836, 1849, 1389, 834, 835, 1855, 1392, 855, 
       854, 1854, 853, 1869, 1409, 880, 890, 1873, 1413, 818, 817, 1837, 816, 
       1919, 1448, 973, 962, 1912, 1443, 956, 957, 1918, 1447, 971, 965, 1914,
        964, 1913, 1444, 963, 991, 1929, 1454, 990, 985, 1926, 919, 1886, 
       1422, 918, 909, 1882, 1420, 907, 908}], 
      Line3DBox[{860, 1398, 841, 839, 1850, 837, 1856, 1393, 851, 849, 1852, 
       1391, 848, 882, 1874, 1414, 891, 885, 1871, 883, 1872, 1411, 888, 974, 
       1920, 1449, 972, 953, 1908, 951, 1910, 1440, 958, 969, 1916, 1446, 968,
        996, 1931, 1455, 995, 983, 1925, 981, 1927, 1452, 986, 916, 1884, 
       1421, 914, 912, 1883, 910}], 
      Line3DBox[{871, 870, 1862, 865, 1400, 864, 1860, 1401, 808, 807, 1835, 
       1379, 809, 784, 1823, 783, 1822, 1370, 782, 781, 1829, 1374, 795, 790, 
       1826, 789, 1844, 1385, 827, 926, 1891, 1427, 921, 920, 1888, 1424, 895,
        894, 1876, 893, 1900, 1433, 942, 949, 1905, 1436, 930, 931, 1898, 940,
        1897, 1432, 936, 935}], 
      Line3DBox[{887, 869, 1403, 868, 1861, 1402, 802, 797, 1830, 796, 1831, 
       1375, 798, 805, 1834, 1378, 786, 785, 1824, 780, 1821, 1369, 779, 794, 
       1828, 1373, 793, 925, 1890, 1426, 923, 924, 1892, 922, 1889, 1425, 898,
        897, 1877, 1416, 899, 900, 1899, 941, 1901, 1434, 928, 927, 1893, 
       1428, 929, 939, 1896, 1431, 937, 938}], 
      Line3DBox[{911, 913, 1423, 1887, 915, 1885, 917, 987, 1453, 2030, 982, 
       984, 1456, 1932, 994, 966, 1445, 1915, 967, 1917, 970, 959, 1441, 2029,
        952, 954, 1439, 1909, 955, 1921, 975, 889, 1412, 2028, 884, 886, 1415,
        1875, 892, 881, 1410, 1870, 847, 1853, 850, 852, 1394, 2027, 838, 840,
        1397, 1857, 859, 861}]}, 
     {GrayLevel[0.2], 
      Line3DBox[{1017, 2031, 1020, 1022, 1308, 2063, 1034, 1031, 1307, 1006, 
       1297, 2057, 1007, 1008, 1329, 1067, 1328, 2074, 1064, 1039, 1310, 2065,
        1038, 1037, 1311, 1040, 1376, 2104, 1151, 1195, 1407, 1189, 1400, 
       2111, 1191, 1192, 1403, 1194}], 
      Line3DBox[{1032, 1033, 1309, 2064, 1036, 1029, 1305, 2062, 1004, 1003, 
       1296, 1005, 1323, 2071, 1060, 1061, 1326, 1041, 1312, 2066, 1042, 1051,
        1316, 2068, 1050, 1049, 1406, 1197, 1405, 1198}], 
      Line3DBox[{1035, 2032, 1009, 999, 1294, 1000, 1295, 2056, 1001, 1002, 
       1300, 2059, 1015, 1016, 1313, 1044, 1314, 2067, 1046, 1045, 1318, 1052,
        1317, 1053}], 
      Line3DBox[{1158, 1157, 1382, 1163, 2049, 1242, 1443, 1241, 2047, 1237, 
       1440, 1441, 1224, 1220, 2119, 1425, 1219, 1424, 1209, 1286, 2117, 1419,
        1212, 1291, 2127, 1437, 1080, 1336, 1079, 1081, 2080, 1337, 1070, 
       1331, 1069, 1078, 2079, 1335, 1077, 1094, 2083, 1344, 1088, 1341, 1087,
        1277}], 
      Line3DBox[{1160, 1156, 2037, 1155, 1381, 1162, 2038, 1161, 1448, 1248, 
       1449, 1236, 2128, 1439, 1222, 1426, 1221, 1223, 2120, 1427, 1213, 1211,
        2116, 1417, 1210, 1418, 1129, 1128, 2097, 1366, 1126, 1365, 1082, 
       1073, 2077, 1333, 1068, 1273, 2076, 1332, 1071, 1346, 1096, 1095, 2084,
        1345, 1093, 1342, 1092, 1091, 2033, 1090}], 
      Line3DBox[{1178, 1177, 1395, 1179, 2041, 1170, 1389, 1169, 2039, 1176, 
       1393, 1394, 1149, 1280, 2103, 1375, 1150, 1379, 1153, 1143, 2101, 1371,
        1142, 1165, 2107, 1384, 1058, 1321, 1057, 1055, 2069, 1319, 1013, 
       1299, 1012, 1011, 2058, 1298, 1010, 1267, 2086, 1349, 1098, 1347, 1097,
        1132, 2098, 1367, 1131, 1130}], 
      Line3DBox[{1181, 1180, 2042, 1188, 1399, 1175, 1392, 1174, 2040, 1173, 
       1391, 1282, 2114, 1410, 1154, 1378, 1140, 1139, 2100, 1370, 1138, 1372,
        1145, 1164, 2106, 1383, 1054, 1271, 2070, 1320, 1056, 1322, 1014, 
       1266, 2089, 1354, 1110, 1353, 1104, 1103, 2087, 1350, 1101, 1100, 2085,
        1348, 1099, 1368, 1133, 1134, 2036, 1135}], 
      Line3DBox[{1184, 1183, 1396, 1182, 1398, 1186, 2110, 1397, 1185, 1402, 
       1190, 1283, 2112, 1401, 1193, 1196, 2113, 1404, 1152, 1377, 1043, 1269,
        2072, 1325, 1063, 1324, 1062, 1272, 2075, 1330, 1066, 1065, 2073, 
       1327, 1030, 1306, 1028, 1027, 2061, 1304, 1021, 1301, 1019, 1018, 2034,
        1102}], 
      Line3DBox[{1187, 1172, 1390, 1171, 2043, 1202, 1409, 1201, 1414, 1284, 
       2115, 1415, 1141, 1137, 2099, 1369, 1136, 1374, 1148, 1281, 2109, 1387,
        1168, 1388, 1059, 1024, 2060, 1302, 1023, 1268, 2090, 1356, 1112, 
       1355, 1111, 1115, 2092, 1358, 1109, 1352, 1108, 1107, 2088, 1351, 1106,
        1125, 2096, 1364, 1119, 1118}], 
      Line3DBox[{1204, 1203, 2044, 1200, 1408, 1199, 1413, 1206, 2045, 1205, 
       1411, 1412, 1147, 1146, 2102, 1373, 1144, 1279, 2108, 1385, 1166, 1386,
        1167, 1159, 2105, 1380, 1026, 1303, 1025, 1114, 2091, 1357, 1113, 
       1117, 2093, 1359, 1116, 1360, 1105, 1278, 2095, 1363, 1124, 1362, 1123,
        1121, 2094, 1361, 1120, 1122, 2035, 1127}], 
      Line3DBox[{1214, 1420, 1215, 2051, 1253, 1451, 1254, 1255}], 
      Line3DBox[{1250, 1240, 1442, 1239, 2046, 1238, 1444, 1243, 1455, 1293, 
       2130, 1456, 1231, 1290, 2125, 1434, 1233, 1436, 1235, 1228, 2122, 1429,
        1227, 1430, 1083, 1275, 2082, 1340, 1072, 1274}], 
      Line3DBox[{1252, 1251, 2050, 1249, 1450, 1247, 1447, 1246, 2048, 1245, 
       1446, 1244, 2129, 1445, 1208, 1416, 1207, 1285, 2124, 1433, 1232, 1438,
        1234, 1292, 2126, 1435, 1086, 1085, 2081, 1338, 1084, 1339, 1076, 
       1075, 2078, 1334, 1074, 1343, 1089, 1276}], 
      Line3DBox[{1260, 1259, 2055, 1261, 1457, 1258, 1454, 1257, 2052, 1256, 
       1452, 1453, 1225, 1288, 2121, 1428, 1226, 1230, 2123, 1432, 1048, 1315,
        1047, 1270}], 
      Line3DBox[{1265, 1264, 2054, 1263, 1458, 1262, 2053, 1217, 1422, 1216, 
       1421, 1287, 2118, 1423, 1218, 1431, 1229, 1289}]}, 
     {GrayLevel[0.2], 
      Line3DBox[{1460, 1459, 1727, 1478, 1728, 1477, 2059, 1476, 1745, 1506, 
       1746, 1507, 1750, 1504, 2066, 1502, 1742, 1503, 1832, 1594, 2104, 1593,
        1865, 1622, 1860, 2112, 1596, 1591, 1830, 1978, 2027, 1856, 1615, 
       2039, 1614, 1855, 1988, 1858, 1991, 2042, 1619, 1618}], 
      Line3DBox[{1469, 1461, 1718, 1462, 1726, 1464, 2056, 1463, 1725, 1475, 
       1761, 1521, 2071, 1520, 1762, 1500, 1741, 1686, 2065, 1501, 1743, 1942,
        1833, 1979, 1864, 2113, 1595, 1980, 1835, 1592, 1831, 2103, 1707, 
       1597, 1853, 1852, 1987, 2040, 1613, 1854, 1612, 1851, 1986, 1990}], 
      Line3DBox[{1480, 1479, 1744, 1505, 1747, 1687, 2067, 1508, 1752, 1514, 
       1751, 1513, 2068, 1512, 1863, 1624, 1866, 1623, 1862, 1621, 2111, 1992,
        1861, 1617, 1857, 2110, 1611, 1850, 1610, 1849, 1985, 2041, 1620, 
       1859, 1616, 1989}], 
      Line3DBox[{1483, 1484, 1740, 1496, 2063, 1492, 1735, 1940, 1739, 1941, 
       1763, 2073, 1474, 1473, 1723, 1935, 1754, 2069, 1688, 1515, 1753, 1945,
        1840, 2106, 1709, 1607, 1841, 1590, 1829, 1582, 1821, 2099, 1704, 
       1977, 2028, 1872, 1629, 2045, 1604, 1837, 1603, 1838, 1598, 2037, 1599,
        1601}], 
      Line3DBox[{1485, 1481, 2031, 1937, 1730, 1938, 1734, 2061, 1491, 1482, 
       1729, 1471, 1722, 2058, 1684, 1472, 1724, 1936, 1758, 1516, 1755, 2070,
        1689, 1947, 1848, 1609, 1847, 2109, 1712, 1588, 1826, 1976, 1828, 
       2102, 1706, 1664, 1921, 1920, 1665, 1919, 1605, 2038, 1606, 1839, 1600,
        1982}], 
      Line3DBox[{1498, 1497, 2032, 1494, 1737, 1470, 1721, 1683, 2062, 1466, 
       1720, 1467, 1767, 1525, 1765, 1524, 2074, 1522, 1759, 1948, 1760, 2072,
        1690, 1523, 1843, 1587, 1825, 2101, 1705, 1586, 1823, 1974, 1834, 
       1981, 1870, 2114, 1713, 1874, 1628, 1869, 1994, 2043, 1627, 1868, 1626,
        1995}], 
      Line3DBox[{1499, 1493, 1736, 1685, 2064, 1495, 1738, 1465, 1719, 1682, 
       2057, 1468, 1764, 1949, 1766, 2075, 1519, 1518, 1757, 1517, 1756, 1946,
        1842, 2107, 1710, 1589, 1827, 1585, 1822, 2100, 1584, 1583, 1824, 
       1975, 1875, 2115, 1631, 1871, 1630, 1873, 1625, 1867, 1993, 2044, 1602,
        1983}], 
      Line3DBox[{1544, 2033, 1545, 1546, 1785, 1542, 1783, 1958, 1787, 2083, 
       1543, 1959, 1786, 1532, 1773, 2078, 1692, 1529, 1771, 1952, 1781, 2082,
        1695, 1509, 1748, 1943, 1749, 1944, 1897, 2123, 1651, 2007, 1896, 
       1642, 1887, 2118, 1640, 1883, 1639, 1882, 2000, 2051, 1672, 1928, 1670,
        1671}], 
      Line3DBox[{1556, 2034, 1557, 1576, 1818, 1553, 1792, 1961, 1795, 2086, 
       1697, 1963, 1800, 1967, 1801, 2089, 1700, 1489, 1732, 1488, 1731, 2060,
        1487, 1486, 1845, 1984, 1846, 1608, 1844, 2108, 1711, 1645, 1890, 
       2004, 1909, 2128, 1657, 1908, 1656, 1912, 2013, 2049, 1667, 1923, 1666,
        2018}], 
      Line3DBox[{1565, 1969, 1813, 2096, 1569, 1568, 1811, 1970, 1812, 2095, 
       1549, 1526, 1768, 1950, 1772, 2077, 1531, 1530, 1778, 1535, 1776, 1954,
        1906, 2127, 1655, 2009, 1907, 1653, 1900, 2124, 1716, 1652, 1899, 
       2008, 1932, 2130, 1677, 1925, 1676, 1929, 2022, 1933, 2024, 2055, 1681,
        2026}], 
      Line3DBox[{1567, 1566, 1810, 2094, 1541, 1540, 1791, 1552, 1790, 1528, 
       1770, 2076, 1691, 1527, 1769, 1951, 1777, 2080, 1694, 1539, 1782, 1957,
        1904, 2126, 1650, 1649, 1903, 2010, 1905, 1654, 1901, 2125, 1646, 
       2006, 2030, 1927, 2021, 2052, 1679, 1926, 1678, 1934, 2025, 2054, 1675,
        1674}], 
      Line3DBox[{1573, 2035, 1548, 1547, 1784, 1960, 1789, 2084, 1551, 1550, 
       1788, 1534, 1775, 2079, 1693, 1533, 1774, 1953, 1780, 1538, 1779, 2081,
        1537, 1956, 1895, 1648, 1894, 2122, 1511, 1510, 1898, 1647, 1893, 
       2121, 1715, 1641, 1885, 1884, 2001, 1886, 2002, 2053, 1673, 1924, 2019,
        2020}], 
      Line3DBox[{1575, 1973, 1817, 2098, 1574, 1555, 1794, 1962, 1796, 2087, 
       1698, 1560, 1809, 1561, 1802, 1968, 1803, 2090, 1701, 1490, 1733, 1939,
        1836, 2105, 1708, 1638, 1881, 1999, 1891, 2120, 1644, 1643, 1892, 
       2005, 2029, 1910, 2011, 2047, 1661, 1918, 2015, 1922, 2016, 2050, 1669,
        1668}], 
      Line3DBox[{1580, 1579, 1820, 1554, 1793, 2085, 1696, 1965, 1799, 1966, 
       1805, 2092, 1703, 1564, 1808, 1562, 1804, 2091, 1702, 1572, 1816, 1972,
        1879, 1636, 1878, 2116, 1635, 1998, 1888, 2003, 1889, 2119, 1634, 
       1633, 1917, 1916, 2014, 2048, 1663, 1914, 1660, 1911, 2012, 2017}], 
      Line3DBox[{1581, 2036, 1578, 1577, 1819, 1559, 1798, 2088, 1699, 1558, 
       1797, 1964, 1807, 1563, 1806, 2093, 1536, 1955, 1814, 1971, 1815, 2097,
        1571, 1570, 1902, 1637, 1880, 2117, 1714, 1632, 1876, 1996, 1877, 
       1997, 1915, 2129, 1717, 1931, 1662, 1913, 1658, 2046, 1659, 1930, 1680,
        2023}]}}},
   VertexNormals->CompressedData["
1:eJztXTtuVTEQfQIJUdGwAtgBK6CkT0tIgUTNUtKxCQqWkA1AaGABdCiQgh1A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    "]],
  AspectRatio->1,
  Axes->True,
  AxesLabel->{
    FormBox[
     TagBox["x", HoldForm], TraditionalForm], 
    FormBox[
     TagBox["y", HoldForm], TraditionalForm], 
    FormBox[
     TagBox["z", HoldForm], TraditionalForm]},
  BoxRatios->{1, 1, 1},
  DisplayFunction->Identity,
  FaceGridsStyle->Automatic,
  Method->{"DefaultBoundaryStyle" -> Directive[
      GrayLevel[0.3]]},
  PlotLabel->FormBox["\"Plano\"", TraditionalForm],
  PlotRange->{{0, 10}, {0, 10}, {0, 10}},
  PlotRangePadding->{
    Scaled[0.02], 
    Scaled[0.02], 
    Scaled[0.02]},
  Ticks->{Automatic, Automatic, Automatic}]], "Output",
 CellChangeTimes->{{3.6992025511432314`*^9, 3.6992026016497593`*^9}, 
   3.699203109001581*^9, 3.6992031813089695`*^9, 3.6992032644199066`*^9, 
   3.6992043141085696`*^9, 3.6992103696361227`*^9, 3.6998120237803655`*^9, 
   3.701424061581306*^9, 3.7014257337837844`*^9, 3.7014267156241436`*^9, 
   3.701428735640324*^9, 3.7014453423807907`*^9, 3.70144567912112*^9, 
   3.701446865937395*^9, 3.729931836698584*^9, 3.730022959163184*^9, 
   3.7322965036873093`*^9, 
   3.765562857058096*^9},ExpressionUUID->"b160b528-5f44-4011-9f67-\
07955eebccc5"]
}, Open  ]],

Cell[CellGroupData[{

Cell[BoxData[
 RowBox[{"r1", "=", 
  RowBox[{"ParametricPlot3D", "[", 
   RowBox[{
    RowBox[{"{", 
     RowBox[{
      RowBox[{"2", "+", 
       RowBox[{"3", "\[Lambda]"}]}], ",", 
      RowBox[{"4", "+", 
       RowBox[{"7", "\[Lambda]"}]}], ",", 
      RowBox[{"5", "-", 
       RowBox[{"5", "\[Lambda]"}]}]}], "}"}], ",", 
    RowBox[{"{", 
     RowBox[{"\[Lambda]", ",", 
      RowBox[{"-", "5"}], ",", "10"}], "}"}], ",", 
    RowBox[{"PlotStyle", "\[Rule]", 
     RowBox[{"{", 
      RowBox[{
       RowBox[{"RGBColor", "[", 
        RowBox[{"0", ",", "0", ",", "0"}], "]"}], ",", 
       RowBox[{"Thickness", "[", "0.02", "]"}]}], "}"}]}], ",", 
    RowBox[{"PlotLabel", "\[Rule]", "\"\<Recta\>\""}], ",", 
    RowBox[{"AxesLabel", "\[Rule]", 
     RowBox[{"{", 
      RowBox[{"\"\<x\>\"", ",", "\"\<y\>\"", ",", "\"\<z\>\""}], "}"}]}]}], 
   "]"}]}]], "Input",
 CellChangeTimes->{{3.6992030599627285`*^9, 3.6992031133216505`*^9}, {
  3.6992031986681943`*^9, 3.699203250318901*^9}, {3.6992042714862604`*^9, 
  3.6992043095272956`*^9}},ExpressionUUID->"c08afc56-078e-417b-adaf-\
5094c8bfbcd2"],

Cell[BoxData[
 Graphics3DBox[{{}, {}, 
   TagBox[
    {RGBColor[0, 0, 0], Thickness[0.02], Line3DBox[CompressedData["
1:eJwNkWs4lAkbgCdl+hINQmjGaUTjkMNMjMnM+0TzJlIzb0krVORQdMB8ShRK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      "]]},
    Annotation[#, "Charting`Private`Tag$2740#1"]& ]},
  Axes->True,
  AxesLabel->{
    FormBox["\"x\"", TraditionalForm], 
    FormBox["\"y\"", TraditionalForm], 
    FormBox["\"z\"", TraditionalForm]},
  DisplayFunction->Identity,
  FaceGridsStyle->Automatic,
  Method->{},
  PlotLabel->FormBox["\"Recta\"", TraditionalForm],
  PlotRange->{{-12.999999081632652`, 
   31.999999081632655`}, {-30.99999785714286, 
   73.99999785714286}, {-44.99999846938776, 29.999998469387755`}},
  PlotRangePadding->{
    Scaled[0.02], 
    Scaled[0.02], 
    Scaled[0.02]},
  Ticks->{Automatic, Automatic, Automatic}]], "Output",
 CellChangeTimes->{{3.6992031020116115`*^9, 3.69920311359186*^9}, {
   3.6992032116514034`*^9, 3.6992032510484037`*^9}, 3.6992042780109262`*^9, 
   3.6992043099455996`*^9, 3.6992103696601553`*^9, 3.699812023831401*^9, 
   3.701424061618333*^9, 3.701425733853834*^9, 3.701426715653165*^9, 
   3.70142873568736*^9, 3.7014453424228387`*^9, 3.7014456791571817`*^9, 
   3.7014468659934363`*^9, 3.729931836734194*^9, 3.730022959193881*^9, 
   3.7322965037260323`*^9, 
   3.765562857086565*^9},ExpressionUUID->"6a6aad4f-4ba8-4f6e-87b4-\
ca8782d7e95e"]
}, Open  ]],

Cell[CellGroupData[{

Cell[BoxData[
 RowBox[{"Show", "[", 
  RowBox[{"p1", ",", "r1", ",", 
   RowBox[{"Plot", "\[Rule]", " ", "\"\<Gr\[AAcute]fica del Conjunto\>\""}]}],
   "]"}]], "Input",
 CellChangeTimes->{{3.6992031159505177`*^9, 3.699203142317274*^9}, {
  3.6992043249732723`*^9, 
  3.699204334816268*^9}},ExpressionUUID->"c8b6cb9b-dec2-4878-b8a7-\
eabbdda909cc"],

Cell[BoxData[
 Graphics3DBox[{GraphicsComplex3DBox[CompressedData["
1:eJxlXXdcj+33b6K9tXeiSWnI6kORXUYhJCoJGfHIXkUqM4SskGxtlbJnZKak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    "], {{
      {RGBColor[1, 0, 1], Opacity[0.7], EdgeForm[None], Specularity[
        GrayLevel[1], 25], 
       StyleBox[GraphicsGroup3DBox[
         TagBox[{Polygon3DBox[CompressedData["
1:eJwl1nmUj2UYxvHfMIy9juz7bhTGMmbsDcY2jcFYI8mWtBAlSkUqy0GyqxQt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            "]], Polygon3DBox[CompressedData["
1:eJw13Hfgf2P5BvD3Ou/zJnvvnZVV9l7ZM6KEhBAyCtlCKXtECJUZGREJpbKy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            "]], Polygon3DBox[CompressedData["
1:eJwt1nmUTnUcx/HLGERhzpStiUhSKEIaa9qodJRSMonmYEyWabFLUcmSrUOb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            "]], Polygon3DBox[CompressedData["
1:eJwl0k1IVFEYh/Ezac6ESh+0EgaUrF1kC4tyMfTlJqgwN0aQJRgt0sLFZGkQ
mFTjIhcFNVRGlkIfUhElRFGQMy1qMUHSRigowiArCysj+l1aPHN4n/M/733n
3Fu1p72hbU4IoRolOOnnUyyEt3hfHML1uSH0xEO4zH8UnMRWflu0x8f4PJfD
LFeHQb6Mn9bvMzZwG1HKpRIhHNKzuSiEIus1Pi8ft/dKjwL+cOswxD+VaeIa
Me3Mdzzhrsr/4GawQzaGAj/lzC+ZlOf+ts6in+uX3yRbjy+yXzHJJ8wz37nN
fJkz5bivPid/gdsXXY7sEmTl1/N73U0rergTeMzf48c86x3KnR9Bht/CZ2XP
46zsAT7Fd0T/S3Yw8jiFrP1b8mv41ehTd6KWq0M1txhp7hge6rPA/Em90ubc
adQmjKuX4gyXUffhNJLOdOuzkE9iIrpjuaPx/y9/jHuAlfxaXOEX6V8p08nv
EmvGhLqCr7He4H/KLsM3dVX0EZnxL7+ba0El14Fhfgjz5F7w4/q38L3ccZTw
o/xLPsvf1eMRVnHLMWO/jR+QvYSE+jn/Wj4ffVPRjKgxQi1y3G35g7JdKFb3
okF+JLpT7iJyejzDfq4eXd5FNzJcq/wK+WG+VLYCh/kjGOXT0ZzcHZTJFvg3
/AD/wSxT2M414ib/D2qOcZE=
            "]]},
          Annotation[#, "Charting`Private`Tag$2721#1"]& ]],
        Lighting->Automatic]}, {}, {}, {}, {}}, {
      {GrayLevel[0], Line3DBox[CompressedData["
1:eJwl0k9I1EEAxfHxT2l47bYtGmpWmBBqXYRSCjx18NYfJQ0SpDIJkgoCUSqX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        "]]}, {}, {}, 
      {GrayLevel[0.2], 
       Line3DBox[{609, 606, 1727, 605, 1726, 588, 1295, 587, 1721, 594, 1305, 
        629, 1738, 628, 1307, 625, 1735, 624, 1734, 1304, 622, 621, 1792, 
        1347, 740, 741, 1794, 743, 1793, 1348, 742, 751, 1798, 1351, 750, 767,
         1811, 1362, 738, 739, 1791, 736, 1789, 1345, 735, 721, 1783, 1341, 
        717, 718}], 
       Line3DBox[{635, 634, 1747, 648, 1314, 647, 1746, 646, 1326, 680, 1762, 
        681, 1765, 685, 1328, 684, 1766, 1330, 675, 600, 1723, 1299, 598, 599,
         1724, 602, 1801, 1354, 754, 756, 1802, 1355, 755, 765, 1808, 762, 
        1806, 1359, 710, 696, 1772, 1333, 695, 690, 1769, 1331, 689, 699, 
        1774, 698, 1773, 1334, 697, 700}], 
       Line3DBox[{649, 644, 1744, 642, 1313, 643, 1745, 645, 1761, 678, 1323, 
        677, 1767, 686, 1329, 683, 1764, 682, 1763, 1327, 601, 596, 1722, 
        1298, 595, 597, 1800, 1353, 753, 764, 1809, 761, 1805, 1358, 760, 763,
         1807, 1360, 705, 688, 1768, 687, 1770, 1332, 691, 702, 1775, 1335, 
        701, 731, 1786, 1343, 730, 732}], 
       Line3DBox[{650, 1748, 651, 652, 1430, 1895, 933, 934, 1435, 1904, 946, 
        947, 1437, 1906, 943, 1902, 944, 904, 1418, 1879, 905, 812, 1380, 
        1836, 813, 1845, 829, 828, 1388, 1848, 833, 822, 1383, 1840, 823, 825,
         1384, 1842, 826, 1843, 806, 803, 1377, 1833, 799, 1376, 800, 1832, 
        801, 1863, 872, 1406, 876, 877}], 
       Line3DBox[{654, 653, 1317, 661, 1751, 660, 1316, 639, 1742, 637, 1311, 
        638, 1743, 641, 1760, 1325, 679, 671, 1756, 1321, 670, 666, 1753, 665,
         1755, 1320, 669, 617, 1731, 1302, 616, 615, 1733, 1303, 620, 772, 
        1816, 773, 1815, 1366, 770, 704, 1776, 1336, 703, 716, 1782, 713, 
        1779, 1338, 712, 711, 1781, 1340, 715, 727}], 
       Line3DBox[{658, 657, 1315, 1749, 655, 656, 1429, 1894, 932, 1903, 948, 
        950, 1438, 1907, 945, 906, 1419, 1880, 901, 902, 1417, 1878, 903, 
        1881, 896, 830, 1386, 1846, 831, 832, 1387, 1847, 824, 1841, 821, 791,
         1372, 1827, 792, 787, 1371, 1825, 788, 804, 1404, 1864, 873, 1865, 
        874, 1407, 878, 1866, 875, 1405, 866, 867}], 
       Line3DBox[{664, 663, 1318, 662, 1752, 659, 1750, 640, 1312, 633, 1741, 
        632, 1310, 636, 1759, 1324, 673, 672, 1757, 668, 1754, 1319, 667, 676,
         1758, 1322, 674, 619, 1732, 618, 1803, 1356, 757, 759, 1804, 1357, 
        758, 771, 1814, 1365, 709, 708, 1778, 707, 1777, 1337, 706, 714, 1780,
         1339, 694, 693, 1771, 692}], 
       Line3DBox[{722, 723, 1344, 1787, 733, 1788, 734, 737, 1346, 1790, 728, 
        729, 1363, 1812, 747, 1797, 748, 749, 1352, 1799, 752, 745, 1350, 
        1796, 746, 744, 1349, 1795, 612, 1729, 611, 610, 1306, 1739, 593, 
        1297, 591, 1719, 592, 1720, 590, 1296, 589, 1725, 603, 1300, 604, 
        1728, 607, 608}], 
       Line3DBox[{726, 1785, 725, 724, 1342, 1784, 719, 720, 1361, 1810, 766, 
        768, 1364, 1813, 769, 1819, 777, 778, 1368, 1820, 774, 775, 1367, 
        1817, 776, 1818, 623, 613, 1301, 1730, 614, 1308, 630, 1740, 631, 
        1309, 626, 1736, 627, 1737, 586, 1294, 585, 1718, 583, 584}], 
       Line3DBox[{857, 1395, 856, 862, 1859, 863, 1858, 1399, 844, 843, 1851, 
        1390, 842, 846, 1868, 879, 1867, 1408, 810, 811, 1838, 1381, 819, 820,
         1839, 1382, 814, 815, 1923, 977, 1922, 1450, 976, 961, 1911, 1442, 
        960, 993, 1930, 992, 1933, 1457, 997, 998, 1934, 1458, 980, 979, 1924,
         1451, 978, 989, 1928, 988}], 
       Line3DBox[{858, 1396, 845, 836, 1849, 1389, 834, 835, 1855, 1392, 855, 
        854, 1854, 853, 1869, 1409, 880, 890, 1873, 1413, 818, 817, 1837, 816,
         1919, 1448, 973, 962, 1912, 1443, 956, 957, 1918, 1447, 971, 965, 
        1914, 964, 1913, 1444, 963, 991, 1929, 1454, 990, 985, 1926, 919, 
        1886, 1422, 918, 909, 1882, 1420, 907, 908}], 
       Line3DBox[{860, 1398, 841, 839, 1850, 837, 1856, 1393, 851, 849, 1852, 
        1391, 848, 882, 1874, 1414, 891, 885, 1871, 883, 1872, 1411, 888, 974,
         1920, 1449, 972, 953, 1908, 951, 1910, 1440, 958, 969, 1916, 1446, 
        968, 996, 1931, 1455, 995, 983, 1925, 981, 1927, 1452, 986, 916, 1884,
         1421, 914, 912, 1883, 910}], 
       Line3DBox[{871, 870, 1862, 865, 1400, 864, 1860, 1401, 808, 807, 1835, 
        1379, 809, 784, 1823, 783, 1822, 1370, 782, 781, 1829, 1374, 795, 790,
         1826, 789, 1844, 1385, 827, 926, 1891, 1427, 921, 920, 1888, 1424, 
        895, 894, 1876, 893, 1900, 1433, 942, 949, 1905, 1436, 930, 931, 1898,
         940, 1897, 1432, 936, 935}], 
       Line3DBox[{887, 869, 1403, 868, 1861, 1402, 802, 797, 1830, 796, 1831, 
        1375, 798, 805, 1834, 1378, 786, 785, 1824, 780, 1821, 1369, 779, 794,
         1828, 1373, 793, 925, 1890, 1426, 923, 924, 1892, 922, 1889, 1425, 
        898, 897, 1877, 1416, 899, 900, 1899, 941, 1901, 1434, 928, 927, 1893,
         1428, 929, 939, 1896, 1431, 937, 938}], 
       Line3DBox[{911, 913, 1423, 1887, 915, 1885, 917, 987, 1453, 2030, 982, 
        984, 1456, 1932, 994, 966, 1445, 1915, 967, 1917, 970, 959, 1441, 
        2029, 952, 954, 1439, 1909, 955, 1921, 975, 889, 1412, 2028, 884, 886,
         1415, 1875, 892, 881, 1410, 1870, 847, 1853, 850, 852, 1394, 2027, 
        838, 840, 1397, 1857, 859, 861}]}, 
      {GrayLevel[0.2], 
       Line3DBox[{1017, 2031, 1020, 1022, 1308, 2063, 1034, 1031, 1307, 1006, 
        1297, 2057, 1007, 1008, 1329, 1067, 1328, 2074, 1064, 1039, 1310, 
        2065, 1038, 1037, 1311, 1040, 1376, 2104, 1151, 1195, 1407, 1189, 
        1400, 2111, 1191, 1192, 1403, 1194}], 
       Line3DBox[{1032, 1033, 1309, 2064, 1036, 1029, 1305, 2062, 1004, 1003, 
        1296, 1005, 1323, 2071, 1060, 1061, 1326, 1041, 1312, 2066, 1042, 
        1051, 1316, 2068, 1050, 1049, 1406, 1197, 1405, 1198}], 
       Line3DBox[{1035, 2032, 1009, 999, 1294, 1000, 1295, 2056, 1001, 1002, 
        1300, 2059, 1015, 1016, 1313, 1044, 1314, 2067, 1046, 1045, 1318, 
        1052, 1317, 1053}], 
       Line3DBox[{1158, 1157, 1382, 1163, 2049, 1242, 1443, 1241, 2047, 1237, 
        1440, 1441, 1224, 1220, 2119, 1425, 1219, 1424, 1209, 1286, 2117, 
        1419, 1212, 1291, 2127, 1437, 1080, 1336, 1079, 1081, 2080, 1337, 
        1070, 1331, 1069, 1078, 2079, 1335, 1077, 1094, 2083, 1344, 1088, 
        1341, 1087, 1277}], 
       Line3DBox[{1160, 1156, 2037, 1155, 1381, 1162, 2038, 1161, 1448, 1248, 
        1449, 1236, 2128, 1439, 1222, 1426, 1221, 1223, 2120, 1427, 1213, 
        1211, 2116, 1417, 1210, 1418, 1129, 1128, 2097, 1366, 1126, 1365, 
        1082, 1073, 2077, 1333, 1068, 1273, 2076, 1332, 1071, 1346, 1096, 
        1095, 2084, 1345, 1093, 1342, 1092, 1091, 2033, 1090}], 
       Line3DBox[{1178, 1177, 1395, 1179, 2041, 1170, 1389, 1169, 2039, 1176, 
        1393, 1394, 1149, 1280, 2103, 1375, 1150, 1379, 1153, 1143, 2101, 
        1371, 1142, 1165, 2107, 1384, 1058, 1321, 1057, 1055, 2069, 1319, 
        1013, 1299, 1012, 1011, 2058, 1298, 1010, 1267, 2086, 1349, 1098, 
        1347, 1097, 1132, 2098, 1367, 1131, 1130}], 
       Line3DBox[{1181, 1180, 2042, 1188, 1399, 1175, 1392, 1174, 2040, 1173, 
        1391, 1282, 2114, 1410, 1154, 1378, 1140, 1139, 2100, 1370, 1138, 
        1372, 1145, 1164, 2106, 1383, 1054, 1271, 2070, 1320, 1056, 1322, 
        1014, 1266, 2089, 1354, 1110, 1353, 1104, 1103, 2087, 1350, 1101, 
        1100, 2085, 1348, 1099, 1368, 1133, 1134, 2036, 1135}], 
       Line3DBox[{1184, 1183, 1396, 1182, 1398, 1186, 2110, 1397, 1185, 1402, 
        1190, 1283, 2112, 1401, 1193, 1196, 2113, 1404, 1152, 1377, 1043, 
        1269, 2072, 1325, 1063, 1324, 1062, 1272, 2075, 1330, 1066, 1065, 
        2073, 1327, 1030, 1306, 1028, 1027, 2061, 1304, 1021, 1301, 1019, 
        1018, 2034, 1102}], 
       Line3DBox[{1187, 1172, 1390, 1171, 2043, 1202, 1409, 1201, 1414, 1284, 
        2115, 1415, 1141, 1137, 2099, 1369, 1136, 1374, 1148, 1281, 2109, 
        1387, 1168, 1388, 1059, 1024, 2060, 1302, 1023, 1268, 2090, 1356, 
        1112, 1355, 1111, 1115, 2092, 1358, 1109, 1352, 1108, 1107, 2088, 
        1351, 1106, 1125, 2096, 1364, 1119, 1118}], 
       Line3DBox[{1204, 1203, 2044, 1200, 1408, 1199, 1413, 1206, 2045, 1205, 
        1411, 1412, 1147, 1146, 2102, 1373, 1144, 1279, 2108, 1385, 1166, 
        1386, 1167, 1159, 2105, 1380, 1026, 1303, 1025, 1114, 2091, 1357, 
        1113, 1117, 2093, 1359, 1116, 1360, 1105, 1278, 2095, 1363, 1124, 
        1362, 1123, 1121, 2094, 1361, 1120, 1122, 2035, 1127}], 
       Line3DBox[{1214, 1420, 1215, 2051, 1253, 1451, 1254, 1255}], 
       Line3DBox[{1250, 1240, 1442, 1239, 2046, 1238, 1444, 1243, 1455, 1293, 
        2130, 1456, 1231, 1290, 2125, 1434, 1233, 1436, 1235, 1228, 2122, 
        1429, 1227, 1430, 1083, 1275, 2082, 1340, 1072, 1274}], 
       Line3DBox[{1252, 1251, 2050, 1249, 1450, 1247, 1447, 1246, 2048, 1245, 
        1446, 1244, 2129, 1445, 1208, 1416, 1207, 1285, 2124, 1433, 1232, 
        1438, 1234, 1292, 2126, 1435, 1086, 1085, 2081, 1338, 1084, 1339, 
        1076, 1075, 2078, 1334, 1074, 1343, 1089, 1276}], 
       Line3DBox[{1260, 1259, 2055, 1261, 1457, 1258, 1454, 1257, 2052, 1256, 
        1452, 1453, 1225, 1288, 2121, 1428, 1226, 1230, 2123, 1432, 1048, 
        1315, 1047, 1270}], 
       Line3DBox[{1265, 1264, 2054, 1263, 1458, 1262, 2053, 1217, 1422, 1216, 
        1421, 1287, 2118, 1423, 1218, 1431, 1229, 1289}]}, 
      {GrayLevel[0.2], 
       Line3DBox[{1460, 1459, 1727, 1478, 1728, 1477, 2059, 1476, 1745, 1506, 
        1746, 1507, 1750, 1504, 2066, 1502, 1742, 1503, 1832, 1594, 2104, 
        1593, 1865, 1622, 1860, 2112, 1596, 1591, 1830, 1978, 2027, 1856, 
        1615, 2039, 1614, 1855, 1988, 1858, 1991, 2042, 1619, 1618}], 
       Line3DBox[{1469, 1461, 1718, 1462, 1726, 1464, 2056, 1463, 1725, 1475, 
        1761, 1521, 2071, 1520, 1762, 1500, 1741, 1686, 2065, 1501, 1743, 
        1942, 1833, 1979, 1864, 2113, 1595, 1980, 1835, 1592, 1831, 2103, 
        1707, 1597, 1853, 1852, 1987, 2040, 1613, 1854, 1612, 1851, 1986, 
        1990}], Line3DBox[{1480, 1479, 1744, 1505, 1747, 1687, 2067, 1508, 
        1752, 1514, 1751, 1513, 2068, 1512, 1863, 1624, 1866, 1623, 1862, 
        1621, 2111, 1992, 1861, 1617, 1857, 2110, 1611, 1850, 1610, 1849, 
        1985, 2041, 1620, 1859, 1616, 1989}], 
       Line3DBox[{1483, 1484, 1740, 1496, 2063, 1492, 1735, 1940, 1739, 1941, 
        1763, 2073, 1474, 1473, 1723, 1935, 1754, 2069, 1688, 1515, 1753, 
        1945, 1840, 2106, 1709, 1607, 1841, 1590, 1829, 1582, 1821, 2099, 
        1704, 1977, 2028, 1872, 1629, 2045, 1604, 1837, 1603, 1838, 1598, 
        2037, 1599, 1601}], 
       Line3DBox[{1485, 1481, 2031, 1937, 1730, 1938, 1734, 2061, 1491, 1482, 
        1729, 1471, 1722, 2058, 1684, 1472, 1724, 1936, 1758, 1516, 1755, 
        2070, 1689, 1947, 1848, 1609, 1847, 2109, 1712, 1588, 1826, 1976, 
        1828, 2102, 1706, 1664, 1921, 1920, 1665, 1919, 1605, 2038, 1606, 
        1839, 1600, 1982}], 
       Line3DBox[{1498, 1497, 2032, 1494, 1737, 1470, 1721, 1683, 2062, 1466, 
        1720, 1467, 1767, 1525, 1765, 1524, 2074, 1522, 1759, 1948, 1760, 
        2072, 1690, 1523, 1843, 1587, 1825, 2101, 1705, 1586, 1823, 1974, 
        1834, 1981, 1870, 2114, 1713, 1874, 1628, 1869, 1994, 2043, 1627, 
        1868, 1626, 1995}], 
       Line3DBox[{1499, 1493, 1736, 1685, 2064, 1495, 1738, 1465, 1719, 1682, 
        2057, 1468, 1764, 1949, 1766, 2075, 1519, 1518, 1757, 1517, 1756, 
        1946, 1842, 2107, 1710, 1589, 1827, 1585, 1822, 2100, 1584, 1583, 
        1824, 1975, 1875, 2115, 1631, 1871, 1630, 1873, 1625, 1867, 1993, 
        2044, 1602, 1983}], 
       Line3DBox[{1544, 2033, 1545, 1546, 1785, 1542, 1783, 1958, 1787, 2083, 
        1543, 1959, 1786, 1532, 1773, 2078, 1692, 1529, 1771, 1952, 1781, 
        2082, 1695, 1509, 1748, 1943, 1749, 1944, 1897, 2123, 1651, 2007, 
        1896, 1642, 1887, 2118, 1640, 1883, 1639, 1882, 2000, 2051, 1672, 
        1928, 1670, 1671}], 
       Line3DBox[{1556, 2034, 1557, 1576, 1818, 1553, 1792, 1961, 1795, 2086, 
        1697, 1963, 1800, 1967, 1801, 2089, 1700, 1489, 1732, 1488, 1731, 
        2060, 1487, 1486, 1845, 1984, 1846, 1608, 1844, 2108, 1711, 1645, 
        1890, 2004, 1909, 2128, 1657, 1908, 1656, 1912, 2013, 2049, 1667, 
        1923, 1666, 2018}], 
       Line3DBox[{1565, 1969, 1813, 2096, 1569, 1568, 1811, 1970, 1812, 2095, 
        1549, 1526, 1768, 1950, 1772, 2077, 1531, 1530, 1778, 1535, 1776, 
        1954, 1906, 2127, 1655, 2009, 1907, 1653, 1900, 2124, 1716, 1652, 
        1899, 2008, 1932, 2130, 1677, 1925, 1676, 1929, 2022, 1933, 2024, 
        2055, 1681, 2026}], 
       Line3DBox[{1567, 1566, 1810, 2094, 1541, 1540, 1791, 1552, 1790, 1528, 
        1770, 2076, 1691, 1527, 1769, 1951, 1777, 2080, 1694, 1539, 1782, 
        1957, 1904, 2126, 1650, 1649, 1903, 2010, 1905, 1654, 1901, 2125, 
        1646, 2006, 2030, 1927, 2021, 2052, 1679, 1926, 1678, 1934, 2025, 
        2054, 1675, 1674}], 
       Line3DBox[{1573, 2035, 1548, 1547, 1784, 1960, 1789, 2084, 1551, 1550, 
        1788, 1534, 1775, 2079, 1693, 1533, 1774, 1953, 1780, 1538, 1779, 
        2081, 1537, 1956, 1895, 1648, 1894, 2122, 1511, 1510, 1898, 1647, 
        1893, 2121, 1715, 1641, 1885, 1884, 2001, 1886, 2002, 2053, 1673, 
        1924, 2019, 2020}], 
       Line3DBox[{1575, 1973, 1817, 2098, 1574, 1555, 1794, 1962, 1796, 2087, 
        1698, 1560, 1809, 1561, 1802, 1968, 1803, 2090, 1701, 1490, 1733, 
        1939, 1836, 2105, 1708, 1638, 1881, 1999, 1891, 2120, 1644, 1643, 
        1892, 2005, 2029, 1910, 2011, 2047, 1661, 1918, 2015, 1922, 2016, 
        2050, 1669, 1668}], 
       Line3DBox[{1580, 1579, 1820, 1554, 1793, 2085, 1696, 1965, 1799, 1966, 
        1805, 2092, 1703, 1564, 1808, 1562, 1804, 2091, 1702, 1572, 1816, 
        1972, 1879, 1636, 1878, 2116, 1635, 1998, 1888, 2003, 1889, 2119, 
        1634, 1633, 1917, 1916, 2014, 2048, 1663, 1914, 1660, 1911, 2012, 
        2017}], Line3DBox[{1581, 2036, 1578, 1577, 1819, 1559, 1798, 2088, 
        1699, 1558, 1797, 1964, 1807, 1563, 1806, 2093, 1536, 1955, 1814, 
        1971, 1815, 2097, 1571, 1570, 1902, 1637, 1880, 2117, 1714, 1632, 
        1876, 1996, 1877, 1997, 1915, 2129, 1717, 1931, 1662, 1913, 1658, 
        2046, 1659, 1930, 1680, 2023}]}}},
    VertexNormals->CompressedData["
1:eJztXTtuVTEQfQIJUdGwAtgBK6CkT0tIgUTNUtKxCQqWkA1AaGABdCiQgh1A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     "]], {{}, {}, 
    TagBox[
     {RGBColor[0, 0, 0], Thickness[0.02], Line3DBox[CompressedData["
1:eJwNkWs4lAkbgCdl+hINQmjGaUTjkMNMjMnM+0TzJlIzb0krVORQdMB8ShRK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       "]]},
     Annotation[#, "Charting`Private`Tag$2740#1"]& ]}},
  Plot -> "Gr\[AAcute]fica del Conjunto",
  AspectRatio->1,
  Axes->True,
  AxesLabel->{
    FormBox[
     TagBox["x", HoldForm], TraditionalForm], 
    FormBox[
     TagBox["y", HoldForm], TraditionalForm], 
    FormBox[
     TagBox["z", HoldForm], TraditionalForm]},
  BoxRatios->{1, 1, 1},
  DisplayFunction->Identity,
  FaceGridsStyle->Automatic,
  ImageSize->{352.3695405607032, 420.08724555964636`},
  Method->{"DefaultBoundaryStyle" -> Directive[
      GrayLevel[0.3]]},
  PlotLabel->FormBox["\"Plano\"", TraditionalForm],
  PlotRange->{{0, 10}, {0, 10}, {0, 10}},
  PlotRangePadding->{
    Scaled[0.02], 
    Scaled[0.02], 
    Scaled[0.02]},
  Ticks->{Automatic, Automatic, Automatic},
  ViewPoint->{-1.1043694663679267`, 2.2929378298461285`, -2.229978517881897},
  ViewVertical->{-0.023325672101328354`, -0.10580781921818996`, \
-0.9941129807085874}]], "Output",
 CellChangeTimes->{
  3.6992031433780093`*^9, 3.699203185863096*^9, {3.699203226735141*^9, 
   3.6992032672359247`*^9}, {3.6992043172498016`*^9, 3.69920433581898*^9}, 
   3.699210369688157*^9, 3.6998120238855195`*^9, 3.7014240616533575`*^9, 
   3.701425733893862*^9, 3.7014267156781864`*^9, 3.70142873579043*^9, 
   3.7014453424758577`*^9, 3.7014456791921897`*^9, 3.70144686604047*^9, 
   3.7299318367817307`*^9, 3.7300229592286787`*^9, 3.732296503758253*^9, 
   3.765562857122216*^9},ExpressionUUID->"eeac8b6a-9c02-4128-8b02-\
cc0f89576011"]
}, Open  ]],

Cell[BoxData[
 RowBox[{"ClearAll", "[", 
  RowBox[{"p1", ",", "r1"}], "]"}]], "Input",
 CellChangeTimes->{{3.701425698879978*^9, 
  3.701425711601019*^9}},ExpressionUUID->"966f41e6-ea5d-4bbb-b5d1-\
395737a0ee1b"]
}, Open  ]]
}, Open  ]],

Cell[CellGroupData[{

Cell["Ejercicio 6:", "Section",
 CellChangeTimes->{{3.6992045014166117`*^9, 3.6992045105381594`*^9}}],

Cell["Ejemplo, definici\[OAcute]n de una funci\[OAcute]n vectorial:", "Text",
 CellChangeTimes->{{3.6998120635843635`*^9, 
  3.699812079407634*^9}},ExpressionUUID->"c718f74a-a2b6-4d5b-827e-\
3a3568b6e229"],

Cell[BoxData[
 RowBox[{
  RowBox[{"r", "[", "t_", "]"}], ":=", 
  RowBox[{"{", 
   RowBox[{
    RowBox[{
     SuperscriptBox["t", "2"], "-", "2"}], ",", 
    RowBox[{
     RowBox[{"-", "2"}], 
     SuperscriptBox["\[ExponentialE]", 
      RowBox[{"-", "t"}]]}], ",", 
    RowBox[{"3", "t"}]}], "}"}]}]], "Input",
 CellChangeTimes->{{3.6992045204621468`*^9, 
  3.6992045565457897`*^9}},ExpressionUUID->"acb91a04-98c8-4a70-9270-\
a163407f889b"]
}, Open  ]],

Cell[CellGroupData[{

Cell["Ejercicio 7:", "Section",
 CellChangeTimes->{{3.699812088593866*^9, 
  3.699812092942423*^9}},ExpressionUUID->"8b95f7f4-66ed-4320-b586-\
a9fe9442e02c"],

Cell[CellGroupData[{

Cell["Inciso a:", "Subsection",
 CellChangeTimes->{{3.6998120962506876`*^9, 
  3.69981209818524*^9}},ExpressionUUID->"77a7ad78-5275-41f6-be98-\
7b8ff8eb8c29"],

Cell[BoxData[
 RowBox[{
  RowBox[{"r", "[", "t_", "]"}], ":=", 
  RowBox[{"{", 
   RowBox[{
    SuperscriptBox["\[ExponentialE]", "t"], ",", 
    RowBox[{"Cos", "[", "t", "]"}], ",", 
    RowBox[{"Sin", "[", "t", "]"}]}], "}"}]}]], "Input",
 CellChangeTimes->{{3.6998121005119543`*^9, 
  3.699812155895794*^9}},ExpressionUUID->"b3337a6e-2517-44b0-93f4-\
0a03ba28a164"],

Cell[CellGroupData[{

Cell[BoxData[
 RowBox[{"r", "[", "t", "]"}]], "Input",
 CellChangeTimes->{{3.6998121585301056`*^9, 
  3.69981216029744*^9}},ExpressionUUID->"209230e5-bd7d-4a5c-a5a3-\
d09c378427fe"],

Cell[BoxData[
 RowBox[{"{", 
  RowBox[{
   SuperscriptBox["\[ExponentialE]", "t"], ",", 
   RowBox[{"Cos", "[", "t", "]"}], ",", 
   RowBox[{"Sin", "[", "t", "]"}]}], "}"}]], "Output",
 CellChangeTimes->{3.6998121607141294`*^9, 3.701424061708397*^9, 
  3.7014257339629116`*^9, 3.701426715727216*^9, 3.701428735849472*^9, 
  3.701445342550933*^9, 3.701445679276249*^9, 3.701446866098513*^9, 
  3.72993183683261*^9, 3.730022959327482*^9, 3.732296503825137*^9, 
  3.765562857197555*^9},ExpressionUUID->"948b84da-969c-4978-9107-\
4f09e53bb040"]
}, Open  ]],

Cell[CellGroupData[{

Cell[BoxData[
 RowBox[{"D", "[", 
  RowBox[{
   RowBox[{"r", "[", "t", "]"}], ",", "t"}], "]"}]], "Input",
 CellChangeTimes->{{3.6998121988959265`*^9, 
  3.699812204572111*^9}},ExpressionUUID->"7ad6e567-6355-4023-b89b-\
8da905005c57"],

Cell[BoxData[
 RowBox[{"{", 
  RowBox[{
   SuperscriptBox["\[ExponentialE]", "t"], ",", 
   RowBox[{"-", 
    RowBox[{"Sin", "[", "t", "]"}]}], ",", 
   RowBox[{"Cos", "[", "t", "]"}]}], "}"}]], "Output",
 CellChangeTimes->{3.6998122054113865`*^9, 3.7014240618194933`*^9, 
  3.701425733978923*^9, 3.701426715738226*^9, 3.70142873585948*^9, 
  3.701445342565923*^9, 3.70144567928924*^9, 3.7014468661115184`*^9, 
  3.729931836875752*^9, 3.730022959363125*^9, 3.732296503865272*^9, 
  3.765562857255274*^9},ExpressionUUID->"945c5655-14b5-4128-a502-\
c21b84fe6880"]
}, Open  ]]
}, Open  ]],

Cell[CellGroupData[{

Cell["Inciso b:", "Subsection",
 CellChangeTimes->{{3.6998120962506876`*^9, 3.69981209818524*^9}, {
  3.6998122229663544`*^9, 
  3.699812223221792*^9}},ExpressionUUID->"80fab07b-52dd-4b76-9624-\
5025a2e7de2d"],

Cell[BoxData[
 RowBox[{
  RowBox[{"r", "[", "t_", "]"}], ":=", 
  RowBox[{"{", 
   RowBox[{
    RowBox[{"Cos", "[", "t", "]"}], ",", 
    RowBox[{"Sin", "[", "t", "]"}]}], "}"}]}]], "Input",
 CellChangeTimes->{{3.6998121005119543`*^9, 3.699812155895794*^9}, {
  3.699812228425603*^9, 
  3.6998122369693956`*^9}},ExpressionUUID->"d2d7316c-3acd-4904-bc1c-\
fa7bee11aa05"],

Cell[CellGroupData[{

Cell[BoxData[
 RowBox[{"r", "[", "t", "]"}]], "Input",
 CellChangeTimes->{{3.6998121585301056`*^9, 
  3.69981216029744*^9}},ExpressionUUID->"b8245e4b-a967-464f-82eb-\
481065052bbd"],

Cell[BoxData[
 RowBox[{"{", 
  RowBox[{
   RowBox[{"Cos", "[", "t", "]"}], ",", 
   RowBox[{"Sin", "[", "t", "]"}]}], "}"}]], "Output",
 CellChangeTimes->{3.6998121607141294`*^9, 3.6998122419865446`*^9, 
  3.699812624453763*^9, 3.7014240618765345`*^9, 3.7014257340049453`*^9, 
  3.7014267157572393`*^9, 3.7014287358765097`*^9, 3.7014453425879374`*^9, 
  3.701445679313876*^9, 3.701446866129532*^9, 3.7299318369426107`*^9, 
  3.730022959427744*^9, 3.732296503930646*^9, 
  3.7655628573234997`*^9},ExpressionUUID->"e17e3ed5-42c8-482f-bac8-\
1dc3adb3a009"]
}, Open  ]],

Cell[CellGroupData[{

Cell[BoxData[
 RowBox[{"D", "[", 
  RowBox[{
   RowBox[{"r", "[", "t", "]"}], ",", "t"}], "]"}]], "Input",
 CellChangeTimes->{{3.6998121988959265`*^9, 
  3.699812204572111*^9}},ExpressionUUID->"b04a6822-13c4-4e9c-9b0e-\
30c9e66c4022"],

Cell[BoxData[
 RowBox[{"{", 
  RowBox[{
   RowBox[{"-", 
    RowBox[{"Sin", "[", "t", "]"}]}], ",", 
   RowBox[{"Cos", "[", "t", "]"}]}], "}"}]], "Output",
 CellChangeTimes->{3.6998122054113865`*^9, 3.699812243658687*^9, 
  3.6998126288328114`*^9, 3.7014240618875265`*^9, 3.7014257340199533`*^9, 
  3.7014267157702465`*^9, 3.701428735887518*^9, 3.7014453426019697`*^9, 
  3.701445679328871*^9, 3.7014468661405416`*^9, 3.7299318369786987`*^9, 
  3.730022959462693*^9, 3.732296503971498*^9, 
  3.765562857364768*^9},ExpressionUUID->"dc4e96ec-a703-4ba1-9e2a-\
bcc1a0fbc104"]
}, Open  ]],

Cell[CellGroupData[{

Cell["Demostraci\[OAcute]n de Perpendicularidad:", "Subsubsection",
 CellChangeTimes->{{3.6998125817469625`*^9, 
  3.699812590570387*^9}},ExpressionUUID->"b271ed40-d68d-4606-b137-\
d09b04b6af69"],

Cell[CellGroupData[{

Cell[BoxData[
 RowBox[{"Dot", "[", 
  RowBox[{
   RowBox[{"r", "[", "t", "]"}], ",", 
   RowBox[{"D", "[", 
    RowBox[{
     RowBox[{"r", "[", "t", "]"}], ",", "t"}], "]"}]}], "]"}]], "Input",
 CellChangeTimes->{{3.6998125930915313`*^9, 
  3.6998126204363165`*^9}},ExpressionUUID->"54ad52a6-c111-437d-b748-\
85634af46550"],

Cell[BoxData["0"], "Output",
 CellChangeTimes->{3.6998126304904184`*^9, 3.7014240618975496`*^9, 
  3.7014257340309606`*^9, 3.7014267157832775`*^9, 3.701428735898526*^9, 
  3.701445342615958*^9, 3.70144567934488*^9, 3.701446866151548*^9, 
  3.729931837026478*^9, 3.7300229595109386`*^9, 3.7322965040261106`*^9, 
  3.765562857422935*^9},ExpressionUUID->"351911ab-ceb0-4edf-9057-\
46308da88390"]
}, Open  ]]
}, Open  ]]
}, Open  ]],

Cell[CellGroupData[{

Cell["Inciso c:", "Subsection",
 CellChangeTimes->{{3.6998120962506876`*^9, 3.69981209818524*^9}, {
  3.699812250967142*^9, 
  3.6998122510647106`*^9}},ExpressionUUID->"5f4fa47d-7c29-4e01-a16d-\
7bd3153e1072"],

Cell[BoxData[
 RowBox[{
  RowBox[{"r", "[", "t_", "]"}], ":=", 
  RowBox[{"{", 
   RowBox[{
    RowBox[{"Sin", "[", 
     RowBox[{"2", "t"}], "]"}], ",", 
    RowBox[{"Log", "[", 
     RowBox[{"1", "+", "t"}], "]"}], ",", "t"}], "}"}]}]], "Input",
 CellChangeTimes->{{3.6998121005119543`*^9, 3.699812155895794*^9}, {
  3.699812257156089*^9, 
  3.6998122845110807`*^9}},ExpressionUUID->"aa32a1b0-20fa-4b29-bf1d-\
3a236e3c7dee"],

Cell[CellGroupData[{

Cell[BoxData[
 RowBox[{"r", "[", "t", "]"}]], "Input",
 CellChangeTimes->{{3.6998121585301056`*^9, 
  3.69981216029744*^9}},ExpressionUUID->"6765f037-edb7-4271-9e86-\
1d0f00ef2b8c"],

Cell[BoxData[
 RowBox[{"{", 
  RowBox[{
   RowBox[{"Sin", "[", 
    RowBox[{"2", " ", "t"}], "]"}], ",", 
   RowBox[{"Log", "[", 
    RowBox[{"1", "+", "t"}], "]"}], ",", "t"}], "}"}]], "Output",
 CellChangeTimes->{3.6998121607141294`*^9, 3.6998122868103666`*^9, 
  3.701424061914543*^9, 3.701425734051976*^9, 3.701426715802288*^9, 
  3.7014287359205227`*^9, 3.7014453426409755`*^9, 3.701445679373901*^9, 
  3.7014468661685596`*^9, 3.72993183709265*^9, 3.730022959577557*^9, 
  3.7322965041192303`*^9, 
  3.7655628574895287`*^9},ExpressionUUID->"b121bbca-9be3-4a1f-9c36-\
3e7cd169e77f"]
}, Open  ]],

Cell["Recordamos que:", "Text",
 CellChangeTimes->{{3.69981232131536*^9, 
  3.6998123272493095`*^9}},ExpressionUUID->"119e61c0-a995-4683-891f-\
a8b63b08de87"],

Cell[CellGroupData[{

Cell[BoxData[
 RowBox[{"D", "[", 
  RowBox[{
   RowBox[{"Log", "[", "t", "]"}], ",", "t"}], "]"}]], "Input",
 CellChangeTimes->{{3.699812302236665*^9, 
  3.6998123159826713`*^9}},ExpressionUUID->"510e5267-f7ce-4d55-acc9-\
b9600be3c6d5"],

Cell[BoxData[
 FractionBox["1", "t"]], "Output",
 CellChangeTimes->{3.699812316742577*^9, 3.7014240619255714`*^9, 
  3.701425734067991*^9, 3.701426715815302*^9, 3.7014287359335327`*^9, 
  3.7014453426579876`*^9, 3.7014456793879128`*^9, 3.7014468661805696`*^9, 
  3.729931837131914*^9, 3.730022959613302*^9, 3.7322965041763573`*^9, 
  3.765562857532014*^9},ExpressionUUID->"db08a7b1-2b73-4108-ab56-\
7c452336ef7c"]
}, Open  ]],

Cell[CellGroupData[{

Cell[BoxData[
 RowBox[{"D", "[", 
  RowBox[{
   RowBox[{"r", "[", "t", "]"}], ",", "t"}], "]"}]], "Input",
 CellChangeTimes->{{3.6998121988959265`*^9, 
  3.699812204572111*^9}},ExpressionUUID->"ba79ada6-d1c6-43b3-93e5-\
8501c8f58f78"],

Cell[BoxData[
 RowBox[{"{", 
  RowBox[{
   RowBox[{"2", " ", 
    RowBox[{"Cos", "[", 
     RowBox[{"2", " ", "t"}], "]"}]}], ",", 
   FractionBox["1", 
    RowBox[{"1", "+", "t"}]], ",", "1"}], "}"}]], "Output",
 CellChangeTimes->{3.6998122054113865`*^9, 3.6998122916854095`*^9, 
  3.701424061936575*^9, 3.701425734081002*^9, 3.7014267158293095`*^9, 
  3.7014287359455414`*^9, 3.701445342675004*^9, 3.701445679404923*^9, 
  3.7014468661935787`*^9, 3.7299318371841993`*^9, 3.7300229596609573`*^9, 
  3.7322965042304697`*^9, 
  3.765562857589505*^9},ExpressionUUID->"bf09b1b3-0cb9-47e7-9dac-\
d219b00f0b64"]
}, Open  ]]
}, Open  ]],

Cell[CellGroupData[{

Cell["Inciso d:", "Subsection",
 CellChangeTimes->{{3.6998120962506876`*^9, 3.69981209818524*^9}, {
  3.6998123706602173`*^9, 
  3.6998123708813763`*^9}},ExpressionUUID->"25643f41-a60b-4971-81f4-\
7fe6f91b5794"],

Cell[BoxData[
 RowBox[{
  RowBox[{"r", "[", "t_", "]"}], ":=", 
  RowBox[{"{", 
   RowBox[{
    RowBox[{"Cos", "[", 
     RowBox[{"3", "t"}], "]"}], ",", 
    RowBox[{"Sin", "[", 
     RowBox[{"3", "t"}], "]"}]}], "}"}]}]], "Input",
 CellChangeTimes->{{3.6998121005119543`*^9, 3.699812155895794*^9}, {
  3.6998123749831095`*^9, 
  3.6998123812905693`*^9}},ExpressionUUID->"4b973519-24a9-499a-89cc-\
ef18ea37c90f"],

Cell[CellGroupData[{

Cell[BoxData[
 RowBox[{"r", "[", "t", "]"}]], "Input",
 CellChangeTimes->{{3.6998121585301056`*^9, 
  3.69981216029744*^9}},ExpressionUUID->"c5aa64be-24a8-4f2a-b1b0-\
00ea73193c37"],

Cell[BoxData[
 RowBox[{"{", 
  RowBox[{
   RowBox[{"Cos", "[", 
    RowBox[{"3", " ", "t"}], "]"}], ",", 
   RowBox[{"Sin", "[", 
    RowBox[{"3", " ", "t"}], "]"}]}], "}"}]], "Output",
 CellChangeTimes->{3.6998121607141294`*^9, 3.6998123843963356`*^9, 
  3.699812768752014*^9, 3.701424061960576*^9, 3.7014257341070147`*^9, 
  3.701426715848323*^9, 3.701428735967576*^9, 3.7014453427040396`*^9, 
  3.7014456794319606`*^9, 3.701446866213593*^9, 3.729931837248488*^9, 
  3.7300229597276154`*^9, 3.7322965042930326`*^9, 
  3.7655628576555862`*^9},ExpressionUUID->"2ab200bf-c3d1-4353-ade8-\
dd302e9e3445"]
}, Open  ]],

Cell[CellGroupData[{

Cell[BoxData[
 RowBox[{"D", "[", 
  RowBox[{
   RowBox[{"r", "[", "t", "]"}], ",", "t"}], "]"}]], "Input",
 CellChangeTimes->{{3.6998121988959265`*^9, 
  3.699812204572111*^9}},ExpressionUUID->"87115cb4-80f6-4aa4-90b3-\
82be61503fb2"],

Cell[BoxData[
 RowBox[{"{", 
  RowBox[{
   RowBox[{
    RowBox[{"-", "3"}], " ", 
    RowBox[{"Sin", "[", 
     RowBox[{"3", " ", "t"}], "]"}]}], ",", 
   RowBox[{"3", " ", 
    RowBox[{"Cos", "[", 
     RowBox[{"3", " ", "t"}], "]"}]}]}], "}"}]], "Output",
 CellChangeTimes->{3.6998122054113865`*^9, 3.6998123865255833`*^9, 
  3.6998127712930565`*^9, 3.701424061971584*^9, 3.7014257341210256`*^9, 
  3.7014267158583283`*^9, 3.7014287359785643`*^9, 3.70144534272005*^9, 
  3.701445679447958*^9, 3.7014468662286143`*^9, 3.729931837287722*^9, 
  3.730022959762308*^9, 3.73229650433316*^9, 
  3.765562857697488*^9},ExpressionUUID->"01d44c57-29bd-405c-9ce8-\
60761d3c8feb"]
}, Open  ]],

Cell[CellGroupData[{

Cell["Demostraci\[OAcute]n de Perpendicularidad:", "Subsubsection",
 CellChangeTimes->{{3.6998125817469625`*^9, 
  3.699812590570387*^9}},ExpressionUUID->"89b65338-0463-4433-9b91-\
14a6aca698cd"],

Cell[CellGroupData[{

Cell[BoxData[
 RowBox[{"Dot", "[", 
  RowBox[{
   RowBox[{"r", "[", "t", "]"}], ",", 
   RowBox[{"D", "[", 
    RowBox[{
     RowBox[{"r", "[", "t", "]"}], ",", "t"}], "]"}]}], "]"}]], "Input",
 CellChangeTimes->{{3.6998125930915313`*^9, 
  3.6998126204363165`*^9}},ExpressionUUID->"59bb3b42-c531-4042-b554-\
8fa50fadd301"],

Cell[BoxData["0"], "Output",
 CellChangeTimes->{3.6998126304904184`*^9, 3.699812772938915*^9, 
  3.7014240619835925`*^9, 3.7014257341370354`*^9, 3.7014267158703375`*^9, 
  3.7014287359995794`*^9, 3.701445342736061*^9, 3.7014456794629664`*^9, 
  3.701446866244615*^9, 3.729931837332025*^9, 3.730022959811062*^9, 
  3.7322965043797903`*^9, 
  3.7655628577563133`*^9},ExpressionUUID->"acae834c-605b-4d24-8c31-\
be4aeaa53731"]
}, Open  ]],

Cell[BoxData[
 RowBox[{"ClearAll", "[", "r", "]"}]], "Input",
 CellChangeTimes->{{3.701425683007584*^9, 
  3.7014256938804274`*^9}},ExpressionUUID->"3dc03b79-2c4a-42ee-aa3b-\
d33f3f902538"]
}, Open  ]]
}, Open  ]]
}, Open  ]],

Cell[CellGroupData[{

Cell["Problema 11:", "Section",
 CellChangeTimes->{{3.701424120114296*^9, 
  3.701424124280198*^9}},ExpressionUUID->"4a5fe905-0dc5-4b22-bf71-\
dc425daf4d8f"],

Cell[TextData[{
 "Hallar el vector tangente y su versor a la h\[EAcute]lice r(t), en ",
 Cell[BoxData[
  FormBox[
   RowBox[{"t", "=", 
    RowBox[{
     FractionBox["\[Pi]", "4"], ":"}]}], TraditionalForm]],
  FormatType->"TraditionalForm",ExpressionUUID->
  "961032bb-b745-4476-9f63-93e165504c66"]
}], "Text",
 CellChangeTimes->{{3.7014241292837386`*^9, 
  3.701424160780142*^9}},ExpressionUUID->"3ec85219-0cdc-4692-83d6-\
1f3c6b626f7b"],

Cell[BoxData[
 RowBox[{
  RowBox[{"r", "[", "t_", "]"}], ":=", 
  RowBox[{"{", 
   RowBox[{
    RowBox[{"2", 
     RowBox[{"Cos", "[", "t", "]"}]}], ",", 
    RowBox[{"2", 
     RowBox[{"Sin", "[", "t", "]"}]}], ",", 
    RowBox[{"4", "t"}]}], "}"}]}]], "Input",
 CellChangeTimes->{{3.701424164961094*^9, 
  3.701424204055252*^9}},ExpressionUUID->"4185a0c4-27f9-4179-bf7c-\
a56d3fe2d6ef"],

Cell[BoxData[
 RowBox[{
  RowBox[{"h1", "=", 
   RowBox[{"ParametricPlot3D", "[", 
    RowBox[{
     RowBox[{"{", 
      RowBox[{
       RowBox[{"2", 
        RowBox[{"Cos", "[", "t", "]"}]}], ",", 
       RowBox[{"2", 
        RowBox[{"Sin", "[", "t", "]"}]}], ",", 
       RowBox[{"4", "t"}]}], "}"}], ",", 
     RowBox[{"{", 
      RowBox[{"t", ",", "0", ",", 
       RowBox[{"\[Pi]", "/", "2"}]}], "}"}], ",", 
     RowBox[{"PlotLabel", "\[Rule]", "\"\<H\[EAcute]lice\>\""}], ",", 
     RowBox[{"AxesLabel", "\[Rule]", 
      RowBox[{"{", 
       RowBox[{"\"\<x\>\"", ",", "\"\<y\>\"", ",", "\"\<z\>\""}], "}"}]}], 
     ",", 
     RowBox[{"PlotStyle", "\[Rule]", 
      RowBox[{"{", 
       RowBox[{
        RowBox[{"Thickness", "[", "0.007", "]"}], ",", 
        RowBox[{"RGBColor", "[", 
         RowBox[{"1", ",", "0", ",", "0"}], "]"}]}], "}"}]}]}], "]"}]}], 
  ";"}]], "Input",
 CellChangeTimes->{{3.7014242097092686`*^9, 3.7014243538769383`*^9}, {
  3.701424397553977*^9, 3.701424402741682*^9}, {3.7014245037216578`*^9, 
  3.701424526840105*^9}, {3.701424604956014*^9, 3.7014246376330605`*^9}, {
  3.7014252389848175`*^9, 
  3.7014252391909637`*^9}},ExpressionUUID->"3c615b3a-db70-40d9-b249-\
242bdbd33d10"],

Cell[BoxData[
 RowBox[{
  RowBox[{"p1", "=", 
   RowBox[{"Graphics3D", "[", 
    RowBox[{"{", 
     RowBox[{
      RowBox[{"PointSize", "[", "0.04", "]"}], ",", "Black", ",", 
      RowBox[{"Point", "[", 
       RowBox[{"r", "[", 
        FractionBox["\[Pi]", "4"], "]"}], "]"}]}], "}"}], "]"}]}], 
  ";"}]], "Input",
 CellChangeTimes->{{3.701424581058572*^9, 3.701424640772293*^9}, {
  3.701425249255116*^9, 
  3.7014252494662476`*^9}},ExpressionUUID->"7030afcd-0baa-4417-b520-\
58d5a1c91caf"],

Cell[CellGroupData[{

Cell[BoxData[
 RowBox[{"Show", "[", 
  RowBox[{"h1", ",", "p1"}], "]"}]], "Input",
 CellChangeTimes->{{3.7014246144772496`*^9, 
  3.701424620365799*^9}},ExpressionUUID->"ed90a0f8-452d-454d-98b9-\
59de74b3c74c"],

Cell[BoxData[
 Graphics3DBox[{{{}, {}, 
    TagBox[
     {RGBColor[1, 0, 0], Thickness[0.007], Line3DBox[CompressedData["
1:eJw11gk0VdsbAHBThvC65nMzFaVekSSPnuHbJKJSvKSMRSHJWEQiDXjJXJRk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       "]]},
     Annotation[#, "Charting`Private`Tag$2765#1"]& ]}, 
   {GrayLevel[0], PointSize[0.04], 
    Point3DBox[
     NCache[{2^Rational[1, 2], 2^Rational[1, 2], Pi}, {1.4142135623730951`, 
      1.4142135623730951`, 3.141592653589793}]]}},
  Axes->True,
  AxesLabel->{
    FormBox["\"x\"", TraditionalForm], 
    FormBox["\"y\"", TraditionalForm], 
    FormBox["\"z\"", TraditionalForm]},
  DisplayFunction->Identity,
  FaceGridsStyle->Automatic,
  ImageSize->{202.5684439505171, 433.2946610282218},
  Method->{},
  PlotLabel->FormBox["\"H\[EAcute]lice\"", TraditionalForm],
  PlotRange->{{0., 1.999999999999999}, {0., 1.999999999999999}, {0., 
   6.283185178951315}},
  PlotRangePadding->{
    Scaled[0.02], 
    Scaled[0.02], 
    Scaled[0.02]},
  Ticks->{Automatic, Automatic, Automatic},
  ViewPoint->{1.7109900902273831`, -2.0712231352731263`, 2.0573156381685944`},
  ViewVertical->{-0.03132318478654929, 0.06032935673952997, 
   0.999765881480239}]], "Output",
 CellChangeTimes->{{3.70142462122079*^9, 3.701424643127967*^9}, {
   3.7014252428735657`*^9, 3.701425252389326*^9}, 3.7014257342641263`*^9, 
   3.701426715945383*^9, 3.7014287361566906`*^9, 3.7014453428611317`*^9, 
   3.701445679597062*^9, 3.7014468664197493`*^9, 3.729931837444285*^9, 
   3.7300229599450283`*^9, 3.7322965044901342`*^9, 
   3.7655628578776913`*^9},ExpressionUUID->"c4d6bdbd-cbeb-4a78-8878-\
2766e7413104"]
}, Open  ]],

Cell[TextData[{
 "El vector tangente a la h\[EAcute]lice en ",
 Cell[BoxData[
  FormBox[
   RowBox[{
    FractionBox["\[Pi]", "4"], ",", " ", 
    RowBox[{"est\[AAcute]", " ", "dado", " ", 
     RowBox[{"por", ":"}]}]}], TraditionalForm]],
  FormatType->"TraditionalForm",ExpressionUUID->
  "0ebfc7fb-518e-43b5-8e24-8bd773e5676c"]
}], "Text",
 CellChangeTimes->{{3.7014249078389697`*^9, 
  3.7014249242275925`*^9}},ExpressionUUID->"6dd88fc6-68c1-44fe-a2b4-\
174cd407f996"],

Cell[CellGroupData[{

Cell[BoxData[
 RowBox[{
  RowBox[{"r", "'"}], "[", 
  FractionBox["\[Pi]", "4"], "]"}]], "Input",ExpressionUUID->"aea7135f-df0f-\
49b9-8f4d-b5ece828d251"],

Cell[BoxData[
 RowBox[{"{", 
  RowBox[{
   RowBox[{"-", 
    SqrtBox["2"]}], ",", 
   SqrtBox["2"], ",", "4"}], "}"}]], "Output",
 CellChangeTimes->{3.7014249044835606`*^9, 3.701425734285141*^9, 
  3.701426715959381*^9, 3.701428736178707*^9, 3.701445342880145*^9, 
  3.7014456796150727`*^9, 3.7014468664337497`*^9, 3.72993183747521*^9, 
  3.73002295996665*^9, 3.732296504525679*^9, 
  3.765562857905362*^9},ExpressionUUID->"2f3ef82c-9196-4343-a340-\
bb084cb946d4"]
}, Open  ]],

Cell["Y su versor:", "Text",
 CellChangeTimes->{{3.701424928630743*^9, 
  3.701424930924427*^9}},ExpressionUUID->"f08e906f-e206-4c75-98ca-\
52c816e29ed5"],

Cell[CellGroupData[{

Cell[BoxData[
 RowBox[{
  RowBox[{
   RowBox[{"r", "'"}], "[", 
   FractionBox["\[Pi]", "4"], "]"}], "/", 
  RowBox[{"Norm", "[", 
   RowBox[{
    RowBox[{"r", "'"}], "[", 
    FractionBox["\[Pi]", "4"], "]"}], "]"}]}]], "Input",
 CellChangeTimes->{{3.701424659970936*^9, 3.7014246779075966`*^9}, {
  3.7014248134859667`*^9, 3.7014248292881804`*^9}, {3.7014248624677057`*^9, 
  3.7014248943323483`*^9}},ExpressionUUID->"6239dae2-5f33-4ac7-ad57-\
c1b9716f3f2d"],

Cell[BoxData[
 RowBox[{"{", 
  RowBox[{
   RowBox[{"-", 
    FractionBox["1", 
     SqrtBox["10"]]}], ",", 
   FractionBox["1", 
    SqrtBox["10"]], ",", 
   FractionBox["2", 
    SqrtBox["5"]]}], "}"}]], "Output",
 CellChangeTimes->{
  3.701424680783641*^9, {3.7014248192730727`*^9, 3.701424829919626*^9}, {
   3.7014248709867563`*^9, 3.7014248865167923`*^9}, 3.7014249403360395`*^9, 
   3.701425734298153*^9, 3.7014267159733915`*^9, 3.701428736193717*^9, 
   3.7014453428961563`*^9, 3.7014456796310835`*^9, 3.701446866445758*^9, 
   3.729931837539094*^9, 3.730022960013996*^9, 3.732296504569276*^9, 
   3.765562857946422*^9},ExpressionUUID->"c9e45135-8d49-4071-b0bf-\
011c0fc1024f"]
}, Open  ]],

Cell[CellGroupData[{

Cell["Gr\[AAcute]fica del conjunto:", "Subsubsection",
 CellChangeTimes->{{3.7014254480532026`*^9, 
  3.701425455102162*^9}},ExpressionUUID->"72fdb026-8307-416d-a021-\
e0bec50adaf5"],

Cell["\<\
Para graficar el vector, segmento de recta orientado, para el Mathematica. \
Debemos definir el punto inicial y el final:\
\>", "Text",
 CellChangeTimes->{{3.701425462010397*^9, 
  3.701425488981564*^9}},ExpressionUUID->"532dbcc6-a217-44f1-8613-\
f2c618aadd38"],

Cell["Punto Inicial:", "Text",
 CellChangeTimes->{{3.70142549277826*^9, 
  3.701425497962942*^9}},ExpressionUUID->"943c8e1e-1917-4183-91f7-\
bf8fb0366338"],

Cell[CellGroupData[{

Cell[BoxData[
 RowBox[{"pi", "=", 
  RowBox[{"r", "[", 
   FractionBox["\[Pi]", "4"], "]"}]}]], "Input",
 CellChangeTimes->{{3.701425274480024*^9, 
  3.70142529382453*^9}},ExpressionUUID->"ddfdf422-b6eb-4124-adca-\
5c658db087c2"],

Cell[BoxData[
 RowBox[{"{", 
  RowBox[{
   SqrtBox["2"], ",", 
   SqrtBox["2"], ",", "\[Pi]"}], "}"}]], "Output",
 CellChangeTimes->{3.701425294438965*^9, 3.701425734327171*^9, 
  3.701426715997408*^9, 3.7014287362207365`*^9, 3.701445342926196*^9, 
  3.7014456796631064`*^9, 3.701446866466772*^9, 3.729931837580863*^9, 
  3.730022960086639*^9, 3.732296504624947*^9, 
  3.7655628580058317`*^9},ExpressionUUID->"89965ecc-3997-4759-b0c2-\
6658080807ba"]
}, Open  ]],

Cell["Punto final:", "Text",
 CellChangeTimes->{{3.7014255023150373`*^9, 
  3.7014255068813486`*^9}},ExpressionUUID->"9c65d8c8-9880-49c8-91b2-\
7a4b6db39703"],

Cell[CellGroupData[{

Cell[BoxData[
 RowBox[{"pf", "=", 
  RowBox[{"pi", "+", 
   RowBox[{
    RowBox[{"(", 
     RowBox[{
      RowBox[{
       RowBox[{"r", "'"}], "[", 
       FractionBox["\[Pi]", "4"], "]"}], "/", 
      RowBox[{"Norm", "[", 
       RowBox[{
        RowBox[{"r", "'"}], "[", 
        FractionBox["\[Pi]", "4"], "]"}], "]"}]}], ")"}], "*", 
    "2"}]}]}]], "Input",
 CellChangeTimes->{{3.7014252975892043`*^9, 3.701425314241052*^9}, {
  3.7014253949984283`*^9, 
  3.7014253961552505`*^9}},ExpressionUUID->"46629167-e862-403a-b79b-\
f2ddefea202a"],

Cell[BoxData[
 RowBox[{"{", 
  RowBox[{
   RowBox[{
    RowBox[{"-", 
     SqrtBox[
      FractionBox["2", "5"]]}], "+", 
    SqrtBox["2"]}], ",", 
   RowBox[{
    SqrtBox[
     FractionBox["2", "5"]], "+", 
    SqrtBox["2"]}], ",", 
   RowBox[{
    FractionBox["4", 
     SqrtBox["5"]], "+", "\[Pi]"}]}], "}"}]], "Output",
 CellChangeTimes->{3.7014253148374605`*^9, 3.7014253977784057`*^9, 
  3.7014257343481865`*^9, 3.7014267160114393`*^9, 3.7014287362387505`*^9, 
  3.701445342944192*^9, 3.701445679680118*^9, 3.7014468664797826`*^9, 
  3.729931837630735*^9, 3.730022960132962*^9, 3.732296504675157*^9, 
  3.765562858070961*^9},ExpressionUUID->"ddfd8201-aeaa-4ee3-8303-\
2c4dd0cbbc66"]
}, Open  ]],

Cell["Gr\[AAcute]fica del vector:", "Text",
 CellChangeTimes->{{3.701425514061386*^9, 
  3.7014255181042576`*^9}},ExpressionUUID->"7f444c66-b595-4d63-ad64-\
3d89d8360791"],

Cell[BoxData[
 RowBox[{
  RowBox[{"v1", "=", 
   RowBox[{"Graphics3D", "[", 
    RowBox[{"{", 
     RowBox[{"Blue", ",", 
      RowBox[{"Arrow", "[", 
       RowBox[{"{", 
        RowBox[{"pi", ",", "pf"}], "}"}], "]"}]}], "}"}], "]"}]}], 
  ";"}]], "Input",
 CellChangeTimes->{{3.701425320697628*^9, 3.7014253274414277`*^9}, 
   3.701425510080572*^9},ExpressionUUID->"03e2b0ad-dcdc-4143-ad26-\
c530cb6699ed"],

Cell["Gr\[AAcute]fica del conjunto:", "Text",
 CellChangeTimes->{{3.70142552201904*^9, 
  3.701425525717737*^9}},ExpressionUUID->"f7ba00d7-ac93-4005-9fab-\
694b681d5208"],

Cell[CellGroupData[{

Cell[BoxData[
 RowBox[{"Show", "[", 
  RowBox[{"h1", ",", "p1", ",", "v1"}], "]"}]], "Input",
 CellChangeTimes->{{3.701425343276696*^9, 
  3.701425344467521*^9}},ExpressionUUID->"3d5060a9-e369-4cdd-bebc-\
368fa8de920e"],

Cell[BoxData[
 Graphics3DBox[{{{}, {}, 
    TagBox[
     {RGBColor[1, 0, 0], Thickness[0.007], Line3DBox[CompressedData["
1:eJw11gk0VdsbAHBThvC65nMzFaVekSSPnuHbJKJSvKSMRSHJWEQiDXjJXJRk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       "]]},
     Annotation[#, "Charting`Private`Tag$2765#1"]& ]}, 
   {GrayLevel[0], PointSize[0.04], 
    Point3DBox[
     NCache[{2^Rational[1, 2], 2^Rational[1, 2], Pi}, {1.4142135623730951`, 
      1.4142135623730951`, 3.141592653589793}]]}, 
   {RGBColor[0, 0, 1], 
    Arrow3DBox[
     NCache[{{2^Rational[1, 2], 2^Rational[1, 2], 
        Pi}, {-Rational[2, 5]^Rational[1, 2] + 2^Rational[1, 2], 
        Rational[2, 5]^Rational[1, 2] + 2^Rational[1, 2], 4 5^Rational[-1, 2] + 
        Pi}}, {{1.4142135623730951`, 1.4142135623730951`, 
      3.141592653589793}, {0.7817580303394193, 2.046669094406771, 
      4.930447035589625}}]]}},
  Axes->True,
  AxesLabel->{
    FormBox["\"x\"", TraditionalForm], 
    FormBox["\"y\"", TraditionalForm], 
    FormBox["\"z\"", TraditionalForm]},
  DisplayFunction->Identity,
  FaceGridsStyle->Automatic,
  ImageSize->{402.5968436389582, 451.3944866853352},
  Method->{},
  PlotLabel->FormBox["\"H\[EAcute]lice\"", TraditionalForm],
  PlotRange->{{0., 1.999999999999999}, {0., 1.999999999999999}, {0., 
   6.283185178951315}},
  PlotRangePadding->{
    Scaled[0.02], 
    Scaled[0.02], 
    Scaled[0.02]},
  Ticks->{Automatic, Automatic, Automatic},
  ViewPoint->{2.578219886197072, -1.213137565733034, 1.82512450671873},
  ViewVertical->{-0.09091391839039692, -0.8065435759502183, 
   0.9660496067333275}]], "Output",
 CellChangeTimes->{3.701425345019911*^9, 3.7014254030031176`*^9, 
  3.7014257344172344`*^9, 3.701426716050474*^9, 3.7014287363448257`*^9, 
  3.7014453430022397`*^9, 3.701445679774194*^9, 3.701446866580863*^9, 
  3.7299318377147207`*^9, 3.730022960194868*^9, 3.7322965047425547`*^9, 
  3.765562858135734*^9},ExpressionUUID->"f5d65b18-357f-43c7-81c5-\
99a92c0ab5b1"]
}, Open  ]],

Cell[BoxData[
 RowBox[{"ClearAll", "[", 
  RowBox[{"r", ",", "h1", ",", "p1", ",", "pi", ",", "pf", ",", "v1"}], 
  "]"}]], "Input",
 CellChangeTimes->{{3.701425640313243*^9, 
  3.7014256729704556`*^9}},ExpressionUUID->"65a7220f-dd00-40a0-864c-\
ae47120abce2"]
}, Open  ]]
}, Open  ]],

Cell[CellGroupData[{

Cell["Problema 12:", "Section",
 CellChangeTimes->{{3.701425552007269*^9, 
  3.701425555127488*^9}},ExpressionUUID->"a76d4105-6b6c-4358-9cab-\
d0387abea0cd"],

Cell[CellGroupData[{

Cell["Inciso I:", "Subsubsection",
 CellChangeTimes->{{3.701425882964899*^9, 
  3.701425903209792*^9}},ExpressionUUID->"a4598fc1-a981-4845-b01b-\
a3f73593b36f"],

Cell["\<\
Hallar el o los instantes en que los vectores velocidad y aceleraci\[OAcute]n \
son perpendiculares.\
\>", "Text",
 CellChangeTimes->{{3.7014259043315897`*^9, 
  3.701425935377675*^9}},ExpressionUUID->"3644f2af-ac87-4a59-a3be-\
929c5c561253"]
}, Open  ]],

Cell[CellGroupData[{

Cell["Inciso II:", "Subsubsection",
 CellChangeTimes->{{3.701425938581999*^9, 
  3.701425941367981*^9}},ExpressionUUID->"4dd8c6bd-2a43-4bcb-ae4b-\
af844c0d9dc1"],

Cell["\<\
Determinar en cada caso, es decir en todo momento, el \[AAcute]ngulo entre \
los vectores velocidad y aceleraci\[OAcute]n.\
\>", "Text",
 CellChangeTimes->{{3.7014259442879887`*^9, 
  3.7014259725872526`*^9}},ExpressionUUID->"a18e6970-63d8-4461-8c77-\
ff2f5abdc7a9"]
}, Open  ]],

Cell[CellGroupData[{

Cell[TextData[{
 "a) ",
 Cell[BoxData[
  FormBox[
   RowBox[{
    RowBox[{"r", 
     RowBox[{"(", "t", ")"}]}], "=", 
    RowBox[{"(", 
     RowBox[{
      RowBox[{"2", 
       SuperscriptBox["t", "3"]}], "+", "3"}]}]}], TraditionalForm]],
  FormatType->"TraditionalForm",ExpressionUUID->
  "986a6c79-dbba-4104-9453-5cb62ab52b17"],
 ")i + ln(t)j + 3k"
}], "Subsubsection",
 CellChangeTimes->{{3.7014255590342655`*^9, 
  3.70142559663999*^9}},ExpressionUUID->"5037b1fd-a7b9-4337-8d55-\
be73f8f9a4a7"],

Cell["Comenzamos por definir la funci\[OAcute]n posici\[OAcute]n:", "Text",
 CellChangeTimes->{{3.701425744471569*^9, 
  3.7014257592300615`*^9}},ExpressionUUID->"3a463bf4-9f00-41eb-be66-\
1604b8b86dd2"],

Cell[BoxData[
 RowBox[{
  RowBox[{"r", "[", "t_", "]"}], ":=", 
  RowBox[{"{", 
   RowBox[{
    RowBox[{
     RowBox[{"2", 
      SuperscriptBox["t", "3"]}], "+", "3"}], ",", 
    RowBox[{"Log", "[", "t", "]"}], ",", "3"}], "}"}]}]], "Input",
 CellChangeTimes->{{3.701425761889948*^9, 
  3.7014257961813326`*^9}},ExpressionUUID->"57b2887b-e3df-4d2d-bb03-\
8d4bf3911c1f"],

Cell["Velocidad:", "Text",
 CellChangeTimes->{{3.701425809860359*^9, 
  3.701425822838187*^9}},ExpressionUUID->"b935dc11-f6df-4f54-9747-\
6053948aedbe"],

Cell[BoxData[
 RowBox[{
  RowBox[{"v", "[", "t_", "]"}], ":=", 
  RowBox[{
   RowBox[{"r", "'"}], "[", "t", "]"}]}]], "Input",
 CellChangeTimes->{{3.701425825382977*^9, 
  3.701425838213114*^9}},ExpressionUUID->"e8676925-66ff-4f6f-8658-\
d1cec1ffc0e9"],

Cell["Aceleraci\[OAcute]n:", "Text",
 CellChangeTimes->{{3.701425842998495*^9, 
  3.7014258472015505`*^9}},ExpressionUUID->"46308660-684b-48b4-bf3e-\
06e03fbfcf6e"],

Cell[BoxData[
 RowBox[{
  RowBox[{"a", "[", "t_", "]"}], ":=", 
  RowBox[{
   RowBox[{"r", "''"}], "[", "t", "]"}]}]], "Input",
 CellChangeTimes->{{3.701425848470393*^9, 3.7014258560737896`*^9}, 
   3.701425983176127*^9},ExpressionUUID->"2a36bccf-d145-4b52-b9db-\
c609d10f640c"],

Cell["Tenemos, entonces:", "Text",
 CellChangeTimes->{{3.7014260021425877`*^9, 
  3.7014260060323544`*^9}},ExpressionUUID->"7ee77b83-86d4-4046-b1be-\
89b0a494b862"],

Cell[CellGroupData[{

Cell[BoxData[
 RowBox[{"r", "[", "t", "]"}]], "Input",
 CellChangeTimes->{{3.7014259862613244`*^9, 
  3.7014259892714415`*^9}},ExpressionUUID->"b225b011-0cdd-4545-916b-\
acb83e3acd93"],

Cell[BoxData[
 RowBox[{"{", 
  RowBox[{
   RowBox[{"3", "+", 
    RowBox[{"2", " ", 
     SuperscriptBox["t", "3"]}]}], ",", 
   RowBox[{"Log", "[", "t", "]"}], ",", "3"}], "}"}]], "Output",
 CellChangeTimes->{3.7014259899579415`*^9, 3.701426716098482*^9, 
  3.7014287364028735`*^9, 3.701445343062293*^9, 3.7014456798292255`*^9, 
  3.701446866664914*^9, 3.729931837790522*^9, 3.7300229602874403`*^9, 
  3.732296504798747*^9, 
  3.765562858222352*^9},ExpressionUUID->"8e5ea51b-40ba-4d66-9924-\
46fcd36efc05"]
}, Open  ]],

Cell[CellGroupData[{

Cell[BoxData[
 RowBox[{"v", "[", "t", "]"}]], "Input",
 CellChangeTimes->{{3.701425991545061*^9, 
  3.701425993086155*^9}},ExpressionUUID->"fbd2a000-e5eb-4912-bd67-\
2fc6d3543916"],

Cell[BoxData[
 RowBox[{"{", 
  RowBox[{
   RowBox[{"6", " ", 
    SuperscriptBox["t", "2"]}], ",", 
   FractionBox["1", "t"], ",", "0"}], "}"}]], "Output",
 CellChangeTimes->{3.7014259934013767`*^9, 3.701426716113491*^9, 
  3.701428736416876*^9, 3.701445343077304*^9, 3.701445679843237*^9, 
  3.701446866676939*^9, 3.729931837835664*^9, 3.730022960345436*^9, 
  3.7322965048460093`*^9, 
  3.765562858272213*^9},ExpressionUUID->"817f28db-6158-44c6-a288-\
5016e1d36477"]
}, Open  ]],

Cell[CellGroupData[{

Cell[BoxData[
 RowBox[{"a", "[", "t", "]"}]], "Input",
 CellChangeTimes->{{3.7014259942830033`*^9, 
  3.701425995933177*^9}},ExpressionUUID->"73fe120c-0e9b-4c43-9913-\
eb486b149be1"],

Cell[BoxData[
 RowBox[{"{", 
  RowBox[{
   RowBox[{"12", " ", "t"}], ",", 
   RowBox[{"-", 
    FractionBox["1", 
     SuperscriptBox["t", "2"]]}], ",", "0"}], "}"}]], "Output",
 CellChangeTimes->{3.701425996157334*^9, 3.7014267161245*^9, 
  3.701428736432887*^9, 3.701445343093297*^9, 3.7014456798592463`*^9, 
  3.701446866689949*^9, 3.729931837881301*^9, 3.730022960397492*^9, 
  3.732296504896431*^9, 
  3.765562858321591*^9},ExpressionUUID->"aee101b5-1b82-4053-978e-\
4bb991d24efa"]
}, Open  ]],

Cell[CellGroupData[{

Cell[BoxData[
 RowBox[{"s1", "=", 
  RowBox[{
   RowBox[{"Solve", "[", 
    RowBox[{
     RowBox[{
      RowBox[{"Dot", "[", 
       RowBox[{
        RowBox[{"v", "[", "t", "]"}], ",", 
        RowBox[{"a", "[", "t", "]"}]}], "]"}], "\[Equal]", "0"}], ",", "t"}], 
    "]"}], "//", "N"}]}]], "Input",
 CellChangeTimes->{{3.701426030829976*^9, 3.7014260878147345`*^9}, {
  3.7014263601145935`*^9, 
  3.701426360701085*^9}},ExpressionUUID->"895ff25d-8539-416e-9005-\
82392cce0bc3"],

Cell[BoxData[
 RowBox[{"{", 
  RowBox[{
   RowBox[{"{", 
    RowBox[{"t", "\[Rule]", 
     RowBox[{
      RowBox[{"-", "0.24514022945274`"}], "-", 
      RowBox[{"0.4245953323912381`", " ", "\[ImaginaryI]"}]}]}], "}"}], ",", 
   RowBox[{"{", 
    RowBox[{"t", "\[Rule]", 
     RowBox[{"0.24514022945274`", "\[VeryThinSpace]", "+", 
      RowBox[{"0.4245953323912381`", " ", "\[ImaginaryI]"}]}]}], "}"}], ",", 
   RowBox[{"{", 
    RowBox[{"t", "\[Rule]", 
     RowBox[{"-", "0.49028045890548`"}]}], "}"}], ",", 
   RowBox[{"{", 
    RowBox[{"t", "\[Rule]", "0.49028045890548`"}], "}"}], ",", 
   RowBox[{"{", 
    RowBox[{"t", "\[Rule]", 
     RowBox[{"0.2451402294527399`", "\[VeryThinSpace]", "-", 
      RowBox[{"0.42459533239123826`", " ", "\[ImaginaryI]"}]}]}], "}"}], ",", 
   RowBox[{"{", 
    RowBox[{"t", "\[Rule]", 
     RowBox[{
      RowBox[{"-", "0.2451402294527399`"}], "+", 
      RowBox[{"0.42459533239123826`", " ", "\[ImaginaryI]"}]}]}], "}"}]}], 
  "}"}]], "Output",
 CellChangeTimes->{{3.701426076915989*^9, 3.701426088101957*^9}, 
   3.7014263609231863`*^9, 3.7014267161535215`*^9, 3.701428736512949*^9, 
   3.701445343165355*^9, 3.7014456799102817`*^9, 3.7014468667840137`*^9, 
   3.729931837937097*^9, 3.730022960461781*^9, 3.732296504946147*^9, 
   3.765562858372759*^9},ExpressionUUID->"ae035abb-8968-4f99-b169-\
c4e3802bdd00"]
}, Open  ]],

Cell[CellGroupData[{

Cell[BoxData[
 RowBox[{"ts", "=", 
  RowBox[{"s1", "[", 
   RowBox[{"[", 
    RowBox[{"4", ",", "1", ",", "2"}], "]"}], "]"}]}]], "Input",
 CellChangeTimes->{{3.7014263626213875`*^9, 
  3.7014263984408965`*^9}},ExpressionUUID->"c971be76-b89d-4178-8b6a-\
b41d8a954f11"],

Cell[BoxData["0.49028045890548`"], "Output",
 CellChangeTimes->{{3.701426367597909*^9, 3.7014263988621287`*^9}, 
   3.7014267161655283`*^9, 3.701428736524953*^9, 3.701445343178357*^9, 
   3.701445679927294*^9, 3.701446866796007*^9, 3.729931837986024*^9, 
   3.730022960511298*^9, 3.732296504995928*^9, 
   3.76556285842031*^9},ExpressionUUID->"825494ab-b4b1-4945-b972-\
5342848bbb46"]
}, Open  ]],

Cell["\<\
Por lo tanto, el vector velocidad y el vector aceleraci\[OAcute]n, ser\
\[AAcute]n perpendiculares en t = 0.49028.\
\>", "Text",
 CellChangeTimes->{{3.701426119801468*^9, 
  3.701426160548032*^9}},ExpressionUUID->"0e97abd2-5b71-4b99-9639-\
f163c58f5f02"],

Cell["\<\
Por otra parte, para determinar el \[AAcute]ngulo, en funci\[OAcute]n del \
tiempo, entre los vectores velocidad y aceleraci\[OAcute]n, planteo:\
\>", "Text",
 CellChangeTimes->{{3.701426218024811*^9, 
  3.7014262435430193`*^9}},ExpressionUUID->"42c012e3-ba54-40f5-93d0-\
7f66d2ece33b"],

Cell[BoxData[
 RowBox[{
  RowBox[{"\[Alpha]", "[", "t_", "]"}], ":=", 
  RowBox[{"Simplify", "[", 
   RowBox[{
    RowBox[{"ArcCos", "[", 
     RowBox[{"(", 
      FractionBox[
       RowBox[{"Dot", "[", 
        RowBox[{
         RowBox[{"v", "[", "t", "]"}], ",", 
         RowBox[{"a", "[", "t", "]"}]}], "]"}], 
       RowBox[{
        RowBox[{"Norm", "[", 
         RowBox[{"v", "[", "t", "]"}], "]"}], "*", 
        RowBox[{"Norm", "[", 
         RowBox[{"a", "[", "t", "]"}], "]"}]}]], ")"}], "]"}], ",", 
    RowBox[{"Element", "[", 
     RowBox[{"t", ",", "Reals"}], "]"}]}], "]"}]}]], "Input",
 CellChangeTimes->{{3.701426244979969*^9, 3.701426339487407*^9}, 
   3.7014453146741*^9, 
   3.7014456585515027`*^9},ExpressionUUID->"45e4d8c4-5a66-43c4-a49f-\
6d7898c39e3e"],

Cell[CellGroupData[{

Cell[BoxData[
 RowBox[{"\[Alpha]", "[", "t", "]"}]], "Input",
 CellChangeTimes->{{3.7014263098470697`*^9, 
  3.701426347085822*^9}},ExpressionUUID->"707ce2b0-8c7c-46e2-8b18-\
9004645b9063"],

Cell[BoxData[
 RowBox[{"ArcCos", "[", 
  FractionBox[
   RowBox[{
    RowBox[{"(", 
     RowBox[{
      RowBox[{"-", "1"}], "+", 
      RowBox[{"72", " ", 
       SuperscriptBox["t", "6"]}]}], ")"}], " ", 
    SuperscriptBox[
     RowBox[{"Abs", "[", "t", "]"}], "3"]}], 
   RowBox[{
    SuperscriptBox["t", "3"], " ", 
    SqrtBox[
     RowBox[{"1", "+", 
      RowBox[{"180", " ", 
       SuperscriptBox["t", "6"]}], "+", 
      RowBox[{"5184", " ", 
       SuperscriptBox["t", "12"]}]}]]}]], "]"}]], "Output",
 CellChangeTimes->{{3.701426312849202*^9, 3.7014263474951*^9}, 
   3.7014267162085657`*^9, 3.701428736613015*^9, 3.7014453432714233`*^9, 
   3.7014456800083523`*^9, 3.701446866900082*^9, 3.7299318380899677`*^9, 
   3.730022960638105*^9, 3.7322965051090803`*^9, 
   3.765562858525317*^9},ExpressionUUID->"3d85876b-c183-4d8d-bc65-\
5de7912bb0a6"]
}, Open  ]],

Cell["Verificaci\[OAcute]n:", "Text",
 CellChangeTimes->{{3.701426350606377*^9, 
  3.7014263556399093`*^9}},ExpressionUUID->"25860c0b-7d2f-4016-9698-\
c8fb0ff5ef13"],

Cell[CellGroupData[{

Cell[BoxData[
 RowBox[{"\[Alpha]", "[", "ts", "]"}]], "Input",
 CellChangeTimes->{
  3.701426405488839*^9},ExpressionUUID->"f13e1d57-e083-4040-8f9d-\
8bc2171e3c58"],

Cell[BoxData["1.5707963267948966`"], "Output",
 CellChangeTimes->{3.7014264059771986`*^9, 3.701426716220567*^9, 
  3.701428736731099*^9, 3.7014453432874355`*^9, 3.7014456800553885`*^9, 
  3.7014468669150906`*^9, 3.729931838134431*^9, 3.7300229606782227`*^9, 
  3.73229650519975*^9, 
  3.7655628585654573`*^9},ExpressionUUID->"9567ec5d-04ae-4192-82a0-\
054af203b9f8"]
}, Open  ]],

Cell[CellGroupData[{

Cell[BoxData[
 RowBox[{
  FractionBox["\[Pi]", "2"], "//", "N"}]], "Input",
 CellChangeTimes->{{3.7014264640564733`*^9, 
  3.7014264734862304`*^9}},ExpressionUUID->"b7ddbe33-f892-4d86-856a-\
85b96371e37c"],

Cell[BoxData["1.5707963267948966`"], "Output",
 CellChangeTimes->{{3.70142646835752*^9, 3.701426473717347*^9}, 
   3.7014267162305746`*^9, 3.701428736741106*^9, 3.7014453433014464`*^9, 
   3.701445680071398*^9, 3.701446866927099*^9, 3.729931838187286*^9, 
   3.730022960728609*^9, 3.73229650524375*^9, 
   3.765562858622912*^9},ExpressionUUID->"63e04b5e-9db2-43c6-883c-\
455a071ee1cd"]
}, Open  ]],

Cell[CellGroupData[{

Cell[BoxData[
 RowBox[{"Round", "[", 
  RowBox[{
   RowBox[{"Cos", "[", 
    RowBox[{"\[Alpha]", "[", "ts", "]"}], "]"}], ",", "10"}], "]"}]], "Input",
 CellChangeTimes->{{3.7014264248916473`*^9, 
  3.7014264572546463`*^9}},ExpressionUUID->"f093ed2c-6ada-49ed-a84f-\
02f48fadbd19"],

Cell[BoxData["0"], "Output",
 CellChangeTimes->{{3.7014264327242126`*^9, 3.701426457688938*^9}, 
   3.7014267162405825`*^9, 3.701428736753133*^9, 3.7014453433174562`*^9, 
   3.701445680086409*^9, 3.7014468669401083`*^9, 3.729931838234722*^9, 
   3.730022960777774*^9, 3.732296505295578*^9, 
   3.7655628586713552`*^9},ExpressionUUID->"76998d33-65ca-4363-8d3a-\
e94ab72a7a97"]
}, Open  ]],

Cell[BoxData[
 RowBox[{"ClearAll", "[", 
  RowBox[{"r", ",", "v", ",", "a", ",", "s1", ",", "ts", ",", "\[Alpha]"}], 
  "]"}]], "Input",
 CellChangeTimes->{{3.701426497127967*^9, 
  3.701426522505004*^9}},ExpressionUUID->"35adc95f-9a21-47d4-9215-\
bf75ed13bfc7"]
}, Open  ]],

Cell[CellGroupData[{

Cell[TextData[{
 "b) ",
 Cell[BoxData[
  FormBox[
   RowBox[{
    RowBox[{
     RowBox[{
      RowBox[{"r", "(", "t", ")"}], "=", 
      RowBox[{"Sin", "(", "t"}]}], "]"}], ")"}], TraditionalForm]],
  FormatType->"TraditionalForm",ExpressionUUID->
  "f4a206a0-d7f2-4c75-a306-d048360e569f"],
 " i + Cos(t) j + tk"
}], "Subsubsection",
 CellChangeTimes->{{3.7014255590342655`*^9, 3.70142559663999*^9}, {
  3.7014265419888535`*^9, 
  3.7014265701468916`*^9}},ExpressionUUID->"e3b77daf-c5c6-4725-9930-\
046996754c16"],

Cell["Comenzamos por definir la funci\[OAcute]n posici\[OAcute]n:", "Text",
 CellChangeTimes->{{3.701425744471569*^9, 
  3.7014257592300615`*^9}},ExpressionUUID->"5b669ecc-a547-4bce-899e-\
9eafecbb9ced"],

Cell[BoxData[
 RowBox[{
  RowBox[{"r", "[", "t_", "]"}], ":=", 
  RowBox[{"{", 
   RowBox[{
    RowBox[{"Sin", "[", "t", "]"}], ",", 
    RowBox[{"Cos", "[", "t", "]"}], ",", "t"}], "}"}]}]], "Input",
 CellChangeTimes->{{3.701425761889948*^9, 3.7014257961813326`*^9}, {
  3.7014265752324743`*^9, 
  3.7014265843780413`*^9}},ExpressionUUID->"d2579b52-7662-46e9-b8fd-\
b6a1e13899e7"],

Cell["Velocidad:", "Text",
 CellChangeTimes->{{3.701425809860359*^9, 
  3.701425822838187*^9}},ExpressionUUID->"82cc9613-8c23-410a-a6bc-\
973fc02a7375"],

Cell[BoxData[
 RowBox[{
  RowBox[{"v", "[", "t_", "]"}], ":=", 
  RowBox[{
   RowBox[{"r", "'"}], "[", "t", "]"}]}]], "Input",
 CellChangeTimes->{{3.701425825382977*^9, 
  3.701425838213114*^9}},ExpressionUUID->"f5554887-e687-4077-9f86-\
2cb98a7e496e"],

Cell["Aceleraci\[OAcute]n:", "Text",
 CellChangeTimes->{{3.701425842998495*^9, 
  3.7014258472015505`*^9}},ExpressionUUID->"ba6f2894-aff6-49c0-9525-\
5e90dde19b5b"],

Cell[BoxData[
 RowBox[{
  RowBox[{"a", "[", "t_", "]"}], ":=", 
  RowBox[{
   RowBox[{"r", "''"}], "[", "t", "]"}]}]], "Input",
 CellChangeTimes->{{3.701425848470393*^9, 3.7014258560737896`*^9}, 
   3.701425983176127*^9},ExpressionUUID->"bd0ca4ea-2e67-4df1-8028-\
69e532bc4da8"],

Cell["Tenemos, entonces:", "Text",
 CellChangeTimes->{{3.7014260021425877`*^9, 
  3.7014260060323544`*^9}},ExpressionUUID->"99876dfe-06ee-4ff5-856a-\
7e29edf4d2fe"],

Cell[CellGroupData[{

Cell[BoxData[
 RowBox[{"r", "[", "t", "]"}]], "Input",
 CellChangeTimes->{{3.7014259862613244`*^9, 
  3.7014259892714415`*^9}},ExpressionUUID->"ee7a96bc-ee36-4f30-80a7-\
fac42fca0dff"],

Cell[BoxData[
 RowBox[{"{", 
  RowBox[{
   RowBox[{"Sin", "[", "t", "]"}], ",", 
   RowBox[{"Cos", "[", "t", "]"}], ",", "t"}], "}"}]], "Output",
 CellChangeTimes->{3.7014259899579415`*^9, 3.701426591529378*^9, 
  3.701426716280611*^9, 3.7014287367971673`*^9, 3.701445343378499*^9, 
  3.701445680145451*^9, 3.7014468669841404`*^9, 3.729931838331335*^9, 
  3.730022960878049*^9, 3.732296505396446*^9, 
  3.765562858760953*^9},ExpressionUUID->"3a49c7a0-29a2-4acc-8d91-\
511b6c7a7e0f"]
}, Open  ]],

Cell[CellGroupData[{

Cell[BoxData[
 RowBox[{"v", "[", "t", "]"}]], "Input",
 CellChangeTimes->{{3.701425991545061*^9, 
  3.701425993086155*^9}},ExpressionUUID->"69c6f347-6feb-48bb-8bd6-\
eeeeb4e788d5"],

Cell[BoxData[
 RowBox[{"{", 
  RowBox[{
   RowBox[{"Cos", "[", "t", "]"}], ",", 
   RowBox[{"-", 
    RowBox[{"Sin", "[", "t", "]"}]}], ",", "1"}], "}"}]], "Output",
 CellChangeTimes->{3.7014259934013767`*^9, 3.701426592593131*^9, 
  3.7014267162926197`*^9, 3.701428736807172*^9, 3.7014453433975143`*^9, 
  3.701445680161462*^9, 3.701446866998149*^9, 3.7299318383676023`*^9, 
  3.730022960921617*^9, 3.732296505437376*^9, 
  3.7655628588066587`*^9},ExpressionUUID->"37bddde3-29bb-42e5-b0b3-\
7ff687fc409e"]
}, Open  ]],

Cell[CellGroupData[{

Cell[BoxData[
 RowBox[{"a", "[", "t", "]"}]], "Input",
 CellChangeTimes->{{3.7014259942830033`*^9, 
  3.701425995933177*^9}},ExpressionUUID->"7ac0b180-bc35-40f4-bfb0-\
a4300c7f668f"],

Cell[BoxData[
 RowBox[{"{", 
  RowBox[{
   RowBox[{"-", 
    RowBox[{"Sin", "[", "t", "]"}]}], ",", 
   RowBox[{"-", 
    RowBox[{"Cos", "[", "t", "]"}]}], ",", "0"}], "}"}]], "Output",
 CellChangeTimes->{3.701425996157334*^9, 3.7014265970312862`*^9, 
  3.7014267163056464`*^9, 3.7014287368191795`*^9, 3.7014453434165263`*^9, 
  3.701445680177473*^9, 3.70144686701116*^9, 3.729931838419705*^9, 
  3.7300229609783688`*^9, 3.732296505495974*^9, 
  3.765562858856007*^9},ExpressionUUID->"848dbf48-a031-40cc-8ea3-\
253d2d726443"]
}, Open  ]],

Cell[CellGroupData[{

Cell[BoxData[
 RowBox[{"Dot", "[", 
  RowBox[{
   RowBox[{"v", "[", "t", "]"}], ",", 
   RowBox[{"a", "[", "t", "]"}]}], "]"}]], "Input",ExpressionUUID->"3d4ee44f-\
6cc0-4a85-903a-4be3aa1d94b5"],

Cell[BoxData["0"], "Output",
 CellChangeTimes->{3.7014266107310224`*^9, 3.701426716319641*^9, 
  3.701428736831172*^9, 3.70144534343554*^9, 3.701445680192485*^9, 
  3.701446867025169*^9, 3.729931838468966*^9, 3.730022961027911*^9, 
  3.732296505545498*^9, 
  3.765562858938774*^9},ExpressionUUID->"fdeb30bd-9cc3-4b94-830f-\
1f35ae3388bf"]
}, Open  ]],

Cell["\<\
Como vemos, del resultado, del producto punto, los vctores velocidad y \
aceleraci\[OAcute]n, son perpendiculares en todo momento. Lo cual \
verificamos, nuevamente, al plantear la ecuaci\[OAcute]n de \[Alpha](t):\
\>", "Text",
 CellChangeTimes->{{3.701426623376075*^9, 
  3.701426690355204*^9}},ExpressionUUID->"045d21c2-a321-4ce9-b74b-\
7807742aa6ac"],

Cell[BoxData[
 RowBox[{
  RowBox[{"\[Alpha]", "[", "t_", "]"}], ":=", 
  RowBox[{"Simplify", "[", 
   RowBox[{
    RowBox[{"ArcCos", "[", 
     RowBox[{"(", 
      FractionBox[
       RowBox[{"Dot", "[", 
        RowBox[{
         RowBox[{"v", "[", "t", "]"}], ",", 
         RowBox[{"a", "[", "t", "]"}]}], "]"}], 
       RowBox[{
        RowBox[{"Norm", "[", 
         RowBox[{"v", "[", "t", "]"}], "]"}], "*", 
        RowBox[{"Norm", "[", 
         RowBox[{"a", "[", "t", "]"}], "]"}]}]], ")"}], "]"}], ",", 
    RowBox[{"Element", "[", 
     RowBox[{"t", ",", "Reals"}], "]"}]}], "]"}]}]], "Input",
 CellChangeTimes->{{3.701426244979969*^9, 3.701426339487407*^9}, 
   3.701445307805233*^9, 
   3.7014456547267847`*^9},ExpressionUUID->"a1bfe5d2-3079-4209-9fed-\
51268a4d996c"],

Cell[CellGroupData[{

Cell[BoxData[
 RowBox[{"\[Alpha]", "[", "t", "]"}]], "Input",
 CellChangeTimes->{{3.7014263098470697`*^9, 
  3.701426347085822*^9}},ExpressionUUID->"c57ddf63-4423-43bc-8c01-\
2257d4ba17cd"],

Cell[BoxData[
 FractionBox["\[Pi]", "2"]], "Output",
 CellChangeTimes->{{3.701426312849202*^9, 3.7014263474951*^9}, 
   3.701426670024749*^9, 3.7014267163416543`*^9, 3.7014287368552017`*^9, 
   3.701445343462559*^9, 3.701445680218502*^9, 3.7014468670461845`*^9, 
   3.729931838587084*^9, 3.730022961118045*^9, 3.7322965056126347`*^9, 
   3.765562859005952*^9},ExpressionUUID->"987f7794-fda5-4013-b931-\
8c45dae68963"]
}, Open  ]],

Cell[BoxData[
 RowBox[{"ClearAll", "[", 
  RowBox[{"r", ",", "v", ",", "a", ",", "s1", ",", "ts", ",", "\[Alpha]"}], 
  "]"}]], "Input",
 CellChangeTimes->{{3.701426497127967*^9, 
  3.701426522505004*^9}},ExpressionUUID->"d6c36865-0c88-42b0-9f14-\
7f037b0ec5b3"]
}, Open  ]]
}, Open  ]],

Cell[CellGroupData[{

Cell["Problema 14:", "Section",
 CellChangeTimes->{{3.7014274263451614`*^9, 
  3.701427432300393*^9}},ExpressionUUID->"85393a78-f07c-409f-98aa-\
ace48c7012a8"],

Cell["Encontrar la longitud de las curvas, definidas por:", "Text",
 CellChangeTimes->{{3.701427439199297*^9, 
  3.7014274539257617`*^9}},ExpressionUUID->"4cd3100d-4987-4788-9eae-\
a62fc5a7a188"],

Cell[CellGroupData[{

Cell["Inciso a):", "Subsubsection",
 CellChangeTimes->{{3.7014274598349624`*^9, 
  3.7014274644792633`*^9}},ExpressionUUID->"328e6d42-d7a5-4c36-a73e-\
89ac54be92ea"],

Cell[BoxData[
 RowBox[{
  RowBox[{"r", "[", "t_", "]"}], ":=", 
  RowBox[{"{", 
   RowBox[{
    RowBox[{"Cos", "[", 
     RowBox[{"4", "t"}], "]"}], ",", 
    RowBox[{"Sin", "[", 
     RowBox[{"4", "t"}], "]"}], ",", "t"}], "}"}]}]], "Input",
 CellChangeTimes->{{3.701427466820927*^9, 
  3.701427493622974*^9}},ExpressionUUID->"4427be52-5f3e-48dc-8a7e-\
3b53f0f3e4d2"],

Cell["La longitud de curva, est\[AAcute] dad\[AAcute], por:", "Text",
 CellChangeTimes->{{3.701427510681099*^9, 
  3.7014275198275995`*^9}},ExpressionUUID->"c8f2361b-6269-4cee-b8ea-\
57eaf1397f08"],

Cell[CellGroupData[{

Cell[BoxData[
 RowBox[{"lc", "=", 
  RowBox[{
   RowBox[{
    SubsuperscriptBox["\[Integral]", "0", 
     FractionBox["\[Pi]", "8"]], 
    RowBox[{
     RowBox[{"Norm", "[", 
      RowBox[{
       RowBox[{"r", "'"}], "[", "t", "]"}], "]"}], 
     RowBox[{"\[DifferentialD]", "t"}]}]}], "//", "N"}]}]], "Input",
 CellChangeTimes->{{3.701427501206365*^9, 3.701427602902645*^9}, {
  3.7014276861558094`*^9, 3.701427725157551*^9}, {3.701427756535355*^9, 
  3.701427767583211*^9}, {3.701428458062239*^9, 
  3.701428465142271*^9}},ExpressionUUID->"5ffe2a35-0efa-462f-8409-\
0644728d056f"],

Cell[BoxData["1.6191397929268987`"], "Output",
 CellChangeTimes->{{3.7014277182226195`*^9, 3.7014277260782022`*^9}, 
   3.701427771358889*^9, 3.701428465605584*^9, 3.701428736992303*^9, 
   3.7014453437257643`*^9, 3.701445680400632*^9, 3.7014468672463436`*^9, 
   3.729931838746016*^9, 3.730022961247809*^9, 3.732296505760817*^9, 
   3.765562859169241*^9},ExpressionUUID->"81fb3ebe-8e9d-41a7-b0dc-\
a20338de5a0e"]
}, Open  ]],

Cell[BoxData[
 RowBox[{"ClearAll", "[", 
  RowBox[{"r", ",", "lc"}], "]"}]], "Input",
 CellChangeTimes->{{3.7014285643127317`*^9, 
  3.7014285700678406`*^9}},ExpressionUUID->"7c38f846-b2c2-4dac-a702-\
8b8144d9d5f5"]
}, Open  ]],

Cell[CellGroupData[{

Cell["Inciso b):", "Subsubsection",
 CellChangeTimes->{{3.7014274598349624`*^9, 3.7014274644792633`*^9}, {
  3.701428528036969*^9, 
  3.701428528135041*^9}},ExpressionUUID->"3cee57c4-c42d-43e8-827c-\
3d8b6b3ae800"],

Cell[BoxData[
 RowBox[{
  RowBox[{"r", "[", "t_", "]"}], ":=", 
  RowBox[{"{", 
   RowBox[{
    RowBox[{"t", "-", 
     RowBox[{"Sin", "[", "t", "]"}]}], ",", 
    RowBox[{"1", "-", 
     RowBox[{"Cos", "[", "t", "]"}]}]}], "}"}]}]], "Input",
 CellChangeTimes->{{3.701427466820927*^9, 3.701427493622974*^9}, {
  3.7014285345025644`*^9, 
  3.7014285522421737`*^9}},ExpressionUUID->"9f146e64-b723-4563-aeaa-\
88a725eeb989"],

Cell["La longitud de curva, est\[AAcute] dad\[AAcute], por:", "Text",
 CellChangeTimes->{{3.701427510681099*^9, 
  3.7014275198275995`*^9}},ExpressionUUID->"46bd00bc-1445-404c-bc65-\
ac286be07fb5"],

Cell[CellGroupData[{

Cell[BoxData[
 RowBox[{"lc", "=", 
  RowBox[{
   RowBox[{
    SubsuperscriptBox["\[Integral]", "0", 
     RowBox[{"2", "\[Pi]"}]], 
    RowBox[{
     RowBox[{"Norm", "[", 
      RowBox[{
       RowBox[{"r", "'"}], "[", "t", "]"}], "]"}], 
     RowBox[{"\[DifferentialD]", "t"}]}]}], "//", "N"}]}]], "Input",
 CellChangeTimes->{{3.701427501206365*^9, 3.701427602902645*^9}, {
  3.7014276861558094`*^9, 3.701427725157551*^9}, {3.701427756535355*^9, 
  3.701427767583211*^9}, {3.701428458062239*^9, 3.701428465142271*^9}, {
  3.70142855822042*^9, 
  3.7014285600927353`*^9}},ExpressionUUID->"a71e1928-3a27-42c6-b191-\
2e989828e7ca"],

Cell[BoxData["8.`"], "Output",
 CellChangeTimes->{{3.7014277182226195`*^9, 3.7014277260782022`*^9}, 
   3.701427771358889*^9, 3.701428465605584*^9, 3.7014285755767593`*^9, 
   3.7014287374676237`*^9, 3.701445344313164*^9, 3.701445680880972*^9, 
   3.7014468677236667`*^9, 3.729931839106575*^9, 3.730022961591086*^9, 
   3.732296506222077*^9, 
   3.7655628595254927`*^9},ExpressionUUID->"cbc5b993-5d03-42cd-bbbf-\
bd35a07c3316"]
}, Open  ]],

Cell[BoxData[
 RowBox[{"ClearAll", "[", 
  RowBox[{"r", ",", "lc"}], "]"}]], "Input",ExpressionUUID->"861a29e6-e6c6-\
4118-8c08-d3e85209007b"]
}, Open  ]]
}, Open  ]],

Cell[CellGroupData[{

Cell["Problema 15:", "Section",
 CellChangeTimes->{{3.7014297288517857`*^9, 
  3.701429735382494*^9}},ExpressionUUID->"58cc7a31-9700-40a2-b142-\
f412415c95c6"],

Cell[BoxData[
 RowBox[{
  RowBox[{"r", "[", "t_", "]"}], ":=", 
  RowBox[{"{", 
   RowBox[{
    RowBox[{
     RowBox[{"Cos", "[", "t", "]"}], "+", 
     RowBox[{"t", "*", 
      RowBox[{"Sin", "[", "t", "]"}]}]}], ",", 
    RowBox[{
     RowBox[{"Sin", "[", "t", "]"}], "-", 
     RowBox[{"t", "*", 
      RowBox[{"Cos", "[", "t", "]"}]}]}], ",", "3"}], "}"}]}]], "Input",
 CellChangeTimes->{{3.7014297389489603`*^9, 
  3.7014297790081916`*^9}},ExpressionUUID->"58d11add-0950-40eb-a3f1-\
5701c5126f8d"],

Cell[CellGroupData[{

Cell["Inciso a):", "Subsection",
 CellChangeTimes->{{3.70142979948975*^9, 
  3.701429802732119*^9}},ExpressionUUID->"611deba7-4080-45fe-9a8b-\
b26d7f44d1cc"],

Cell[TextData[{
 "Vector tangente unitario ",
 StyleBox["T",
  FontWeight->"Bold"],
 " :"
}], "Text",
 CellChangeTimes->{{3.7014305873039055`*^9, 
  3.7014306044450197`*^9}},ExpressionUUID->"48f7a3c3-cc93-4b8a-ae81-\
b2f86dccf416"],

Cell[BoxData[
 RowBox[{
  RowBox[{"tg", "[", "t_", "]"}], ":=", 
  RowBox[{"Simplify", "[", 
   RowBox[{
    FractionBox[
     RowBox[{
      RowBox[{"r", "'"}], "[", "t", "]"}], 
     RowBox[{"TrigReduce", "[", 
      RowBox[{"Norm", "[", 
       RowBox[{
        RowBox[{"r", "'"}], "[", "t", "]"}], "]"}], "]"}]], ",", 
    RowBox[{"Element", "[", 
     RowBox[{"t", ",", "Reals"}], "]"}]}], "]"}]}]], "Input",
 CellChangeTimes->{{3.701429865328105*^9, 3.7014299047360926`*^9}, {
   3.701429942326826*^9, 3.7014299575146017`*^9}, {3.7014301173957367`*^9, 
   3.7014301717953978`*^9}, 
   3.7014455658175955`*^9},ExpressionUUID->"d0369c31-ceaf-40bd-8a3a-\
edfa1ae5a1e2"],

Cell[CellGroupData[{

Cell[BoxData[
 RowBox[{"tg", "[", "t", "]"}]], "Input",
 CellChangeTimes->{{3.7014299332984095`*^9, 
  3.701429935279867*^9}},ExpressionUUID->"31dae489-d6e1-4db1-a68b-\
571317fe4bea"],

Cell[BoxData[
 RowBox[{"{", 
  RowBox[{
   FractionBox[
    RowBox[{"t", " ", 
     RowBox[{"Cos", "[", "t", "]"}]}], 
    RowBox[{"Abs", "[", "t", "]"}]], ",", 
   FractionBox[
    RowBox[{"t", " ", 
     RowBox[{"Sin", "[", "t", "]"}]}], 
    RowBox[{"Abs", "[", "t", "]"}]], ",", "0"}], "}"}]], "Output",
 CellChangeTimes->{{3.701429935595024*^9, 3.7014299603966494`*^9}, 
   3.701430130015705*^9, 3.701430173484598*^9, 3.701445344563342*^9, 
   3.7014455700555964`*^9, 3.7014456811011286`*^9, 3.701446867934821*^9, 
   3.7299318392164288`*^9, 3.730022961684463*^9, 3.7322965064173517`*^9, 
   3.765562859622266*^9},ExpressionUUID->"8de1c509-e80e-490d-abf0-\
4a19eba85648"]
}, Open  ]],

Cell[TextData[{
 "Curvatura ",
 StyleBox["K",
  FontWeight->"Bold"],
 " :"
}], "Text",
 CellChangeTimes->{{3.7014299298870354`*^9, 3.701429930838662*^9}, {
  3.7014299657154975`*^9, 
  3.7014299715726137`*^9}},ExpressionUUID->"a1d0b536-f0b1-4acc-a44e-\
274ea95f17e5"],

Cell[BoxData[
 RowBox[{
  RowBox[{"k", "[", "t_", "]"}], ":=", 
  RowBox[{"Simplify", "[", 
   RowBox[{
    RowBox[{
     FractionBox["1", 
      RowBox[{"Norm", "[", 
       RowBox[{
        RowBox[{"r", "'"}], "[", "t", "]"}], "]"}]], "*", 
     RowBox[{"Norm", "[", 
      RowBox[{
       RowBox[{"tg", "'"}], "[", "t", "]"}], "]"}]}], ",", 
    RowBox[{"Element", "[", 
     RowBox[{"t", ",", "Reals"}], "]"}]}], "]"}]}]], "Input",
 CellChangeTimes->{{3.701429976615176*^9, 3.7014300157129803`*^9}, {
  3.701445534685465*^9, 
  3.7014455437379107`*^9}},ExpressionUUID->"dabef883-57dd-4444-9614-\
12cd36fc1ed4"],

Cell[CellGroupData[{

Cell[BoxData[
 RowBox[{"k", "[", "t", "]"}]], "Input",
 CellChangeTimes->{{3.701430027689474*^9, 3.7014300297300096`*^9}, {
  3.701430425220337*^9, 3.7014304416170473`*^9}, {3.701445549509012*^9, 
  3.7014455507569*^9}},ExpressionUUID->"53748321-5b4c-4f4b-90b5-44c3ca053870"],

Cell[BoxData[
 FractionBox[
  SqrtBox[
   RowBox[{
    SuperscriptBox[
     RowBox[{"Abs", "[", 
      RowBox[{
       RowBox[{
        RowBox[{"Abs", "[", "t", "]"}], " ", 
        RowBox[{"(", 
         RowBox[{
          RowBox[{"Cos", "[", "t", "]"}], "-", 
          RowBox[{"t", " ", 
           RowBox[{"Sin", "[", "t", "]"}]}]}], ")"}]}], "-", 
       RowBox[{"t", " ", 
        RowBox[{"Cos", "[", "t", "]"}], " ", 
        RowBox[{
         SuperscriptBox["Abs", "\[Prime]",
          MultilineFunction->None], "[", "t", "]"}]}]}], "]"}], "2"], "+", 
    SuperscriptBox[
     RowBox[{"Abs", "[", 
      RowBox[{
       RowBox[{
        RowBox[{"Abs", "[", "t", "]"}], " ", 
        RowBox[{"(", 
         RowBox[{
          RowBox[{"t", " ", 
           RowBox[{"Cos", "[", "t", "]"}]}], "+", 
          RowBox[{"Sin", "[", "t", "]"}]}], ")"}]}], "-", 
       RowBox[{"t", " ", 
        RowBox[{"Sin", "[", "t", "]"}], " ", 
        RowBox[{
         SuperscriptBox["Abs", "\[Prime]",
          MultilineFunction->None], "[", "t", "]"}]}]}], "]"}], "2"]}]], 
  SuperscriptBox[
   RowBox[{"Abs", "[", "t", "]"}], "3"]]], "Output",
 CellChangeTimes->{
  3.701430030110213*^9, {3.7014304312696185`*^9, 3.7014304419659586`*^9}, 
   3.7014453453228827`*^9, 3.7014455758377047`*^9, 3.7014456815424414`*^9, 
   3.7014468684001455`*^9, 3.729931839573097*^9, 3.73002296205366*^9, 
   3.732296506980983*^9, 
   3.765562859990673*^9},ExpressionUUID->"4ba1b6ff-ee05-416c-b5f9-\
c11da4c430e8"]
}, Open  ]],

Cell[TextData[{
 "Vector Normal ",
 StyleBox["N ",
  FontWeight->"Bold"],
 ":"
}], "Text",
 CellChangeTimes->{{3.701430396494907*^9, 
  3.701430411343458*^9}},ExpressionUUID->"5d0d42c1-bfb6-4bae-951e-\
7b963607f54e"],

Cell[BoxData[
 RowBox[{
  RowBox[{"n", "[", "t_", "]"}], ":=", 
  RowBox[{"Simplify", "[", 
   RowBox[{
    RowBox[{
     RowBox[{
      RowBox[{"tg", "'"}], "[", "t", "]"}], "/", 
     RowBox[{"Norm", "[", 
      RowBox[{
       RowBox[{"tg", "'"}], "[", "t", "]"}], "]"}]}], ",", 
    RowBox[{"Element", "[", 
     RowBox[{"t", ",", "Reals"}], "]"}]}], "]"}]}]], "Input",
 CellChangeTimes->{{3.7014305629645405`*^9, 3.7014305719249735`*^9}, {
  3.7014306082167015`*^9, 3.701430625292902*^9}, {3.701445517871527*^9, 
  3.701445539424827*^9}},ExpressionUUID->"8d7d655d-58ca-421e-a940-\
eae4369b585d"],

Cell[CellGroupData[{

Cell[BoxData[
 RowBox[{"n", "[", "t", "]"}]], "Input",
 CellChangeTimes->{{3.7014306276985464`*^9, 3.701430638690357*^9}, {
  3.701445529162551*^9, 
  3.7014455299661055`*^9}},ExpressionUUID->"f11672c9-73b7-419c-a086-\
8c06934626f4"],

Cell[BoxData[
 RowBox[{"{", 
  RowBox[{
   FractionBox[
    RowBox[{
     RowBox[{
      RowBox[{"Abs", "[", "t", "]"}], " ", 
      RowBox[{"(", 
       RowBox[{
        RowBox[{"Cos", "[", "t", "]"}], "-", 
        RowBox[{"t", " ", 
         RowBox[{"Sin", "[", "t", "]"}]}]}], ")"}]}], "-", 
     RowBox[{"t", " ", 
      RowBox[{"Cos", "[", "t", "]"}], " ", 
      RowBox[{
       SuperscriptBox["Abs", "\[Prime]",
        MultilineFunction->None], "[", "t", "]"}]}]}], 
    SqrtBox[
     RowBox[{
      SuperscriptBox[
       RowBox[{"Abs", "[", 
        RowBox[{
         RowBox[{
          RowBox[{"Abs", "[", "t", "]"}], " ", 
          RowBox[{"(", 
           RowBox[{
            RowBox[{"Cos", "[", "t", "]"}], "-", 
            RowBox[{"t", " ", 
             RowBox[{"Sin", "[", "t", "]"}]}]}], ")"}]}], "-", 
         RowBox[{"t", " ", 
          RowBox[{"Cos", "[", "t", "]"}], " ", 
          RowBox[{
           SuperscriptBox["Abs", "\[Prime]",
            MultilineFunction->None], "[", "t", "]"}]}]}], "]"}], "2"], "+", 
      SuperscriptBox[
       RowBox[{"Abs", "[", 
        RowBox[{
         RowBox[{
          RowBox[{"Abs", "[", "t", "]"}], " ", 
          RowBox[{"(", 
           RowBox[{
            RowBox[{"t", " ", 
             RowBox[{"Cos", "[", "t", "]"}]}], "+", 
            RowBox[{"Sin", "[", "t", "]"}]}], ")"}]}], "-", 
         RowBox[{"t", " ", 
          RowBox[{"Sin", "[", "t", "]"}], " ", 
          RowBox[{
           SuperscriptBox["Abs", "\[Prime]",
            MultilineFunction->None], "[", "t", "]"}]}]}], "]"}], "2"]}]]], 
   ",", 
   FractionBox[
    RowBox[{
     RowBox[{
      RowBox[{"Abs", "[", "t", "]"}], " ", 
      RowBox[{"(", 
       RowBox[{
        RowBox[{"t", " ", 
         RowBox[{"Cos", "[", "t", "]"}]}], "+", 
        RowBox[{"Sin", "[", "t", "]"}]}], ")"}]}], "-", 
     RowBox[{"t", " ", 
      RowBox[{"Sin", "[", "t", "]"}], " ", 
      RowBox[{
       SuperscriptBox["Abs", "\[Prime]",
        MultilineFunction->None], "[", "t", "]"}]}]}], 
    SqrtBox[
     RowBox[{
      SuperscriptBox[
       RowBox[{"Abs", "[", 
        RowBox[{
         RowBox[{
          RowBox[{"Abs", "[", "t", "]"}], " ", 
          RowBox[{"(", 
           RowBox[{
            RowBox[{"Cos", "[", "t", "]"}], "-", 
            RowBox[{"t", " ", 
             RowBox[{"Sin", "[", "t", "]"}]}]}], ")"}]}], "-", 
         RowBox[{"t", " ", 
          RowBox[{"Cos", "[", "t", "]"}], " ", 
          RowBox[{
           SuperscriptBox["Abs", "\[Prime]",
            MultilineFunction->None], "[", "t", "]"}]}]}], "]"}], "2"], "+", 
      SuperscriptBox[
       RowBox[{"Abs", "[", 
        RowBox[{
         RowBox[{
          RowBox[{"Abs", "[", "t", "]"}], " ", 
          RowBox[{"(", 
           RowBox[{
            RowBox[{"t", " ", 
             RowBox[{"Cos", "[", "t", "]"}]}], "+", 
            RowBox[{"Sin", "[", "t", "]"}]}], ")"}]}], "-", 
         RowBox[{"t", " ", 
          RowBox[{"Sin", "[", "t", "]"}], " ", 
          RowBox[{
           SuperscriptBox["Abs", "\[Prime]",
            MultilineFunction->None], "[", "t", "]"}]}]}], "]"}], "2"]}]]], 
   ",", "0"}], "}"}]], "Output",
 CellChangeTimes->{{3.7014306301242685`*^9, 3.70143063964804*^9}, 
   3.7014453461564746`*^9, 3.7014455898576827`*^9, 3.701445682149892*^9, 
   3.7014468690275908`*^9, 3.729931840138035*^9, 3.730022962614286*^9, 
   3.7322965074735413`*^9, 
   3.765562860529235*^9},ExpressionUUID->"de748bc6-7845-47e7-92a8-\
0f365e67c7fb"]
}, Open  ]],

Cell[TextData[{
 "Binormal ",
 StyleBox["B ",
  FontWeight->"Bold"],
 ":"
}], "Text",
 CellChangeTimes->{{3.7014307638237762`*^9, 3.7014307748326674`*^9}, 
   3.730023630608864*^9},ExpressionUUID->"21abc640-18e7-4b7f-8005-\
9bf107cef11b"],

Cell[BoxData[
 RowBox[{
  RowBox[{"b", "[", "t_", "]"}], ":=", 
  RowBox[{"Simplify", "[", 
   RowBox[{
    RowBox[{"Cross", "[", 
     RowBox[{
      RowBox[{"tg", "[", "t", "]"}], ",", 
      RowBox[{"n", "[", "t", "]"}]}], "]"}], ",", 
    RowBox[{"Element", "[", 
     RowBox[{"t", ",", "Reals"}], "]"}]}], "]"}]}]], "Input",
 CellChangeTimes->{{3.7014307812551827`*^9, 3.7014308492709875`*^9}, 
   3.7014455111747684`*^9},ExpressionUUID->"d707de4b-b7cb-4260-83b5-\
95e82d6442d7"],

Cell[CellGroupData[{

Cell[BoxData[
 RowBox[{"b", "[", "t", "]"}]], "Input",
 CellChangeTimes->{{3.701430856415064*^9, 
  3.7014308585776496`*^9}},ExpressionUUID->"5ad1e6aa-5f57-4d53-aa91-\
126da690b747"],

Cell[BoxData[
 RowBox[{"{", 
  RowBox[{"0", ",", "0", ",", 
   FractionBox[
    SuperscriptBox["t", "2"], 
    SqrtBox[
     RowBox[{
      SuperscriptBox[
       RowBox[{"Abs", "[", 
        RowBox[{
         RowBox[{
          RowBox[{"Abs", "[", "t", "]"}], " ", 
          RowBox[{"(", 
           RowBox[{
            RowBox[{"Cos", "[", "t", "]"}], "-", 
            RowBox[{"t", " ", 
             RowBox[{"Sin", "[", "t", "]"}]}]}], ")"}]}], "-", 
         RowBox[{"t", " ", 
          RowBox[{"Cos", "[", "t", "]"}], " ", 
          RowBox[{
           SuperscriptBox["Abs", "\[Prime]",
            MultilineFunction->None], "[", "t", "]"}]}]}], "]"}], "2"], "+", 
      SuperscriptBox[
       RowBox[{"Abs", "[", 
        RowBox[{
         RowBox[{
          RowBox[{"Abs", "[", "t", "]"}], " ", 
          RowBox[{"(", 
           RowBox[{
            RowBox[{"t", " ", 
             RowBox[{"Cos", "[", "t", "]"}]}], "+", 
            RowBox[{"Sin", "[", "t", "]"}]}], ")"}]}], "-", 
         RowBox[{"t", " ", 
          RowBox[{"Sin", "[", "t", "]"}], " ", 
          RowBox[{
           SuperscriptBox["Abs", "\[Prime]",
            MultilineFunction->None], "[", "t", "]"}]}]}], "]"}], "2"]}]]]}], 
  "}"}]], "Output",
 CellChangeTimes->{3.701430859114964*^9, 3.7014453464827056`*^9, 
  3.701445596155157*^9, 3.70144568253915*^9, 3.701446869435881*^9, 
  3.729931840418228*^9, 3.7300229628873367`*^9, 3.7322965077962646`*^9, 
  3.7655628607983313`*^9},ExpressionUUID->"d9f721c5-a8f8-430b-bd49-\
998c5bb19561"]
}, Open  ]],

Cell[CellGroupData[{

Cell[BoxData[
 RowBox[{"tg", "[", 
  RowBox[{"\[Pi]", "/", "2"}], "]"}]], "Input",
 CellChangeTimes->{{3.7014308619679985`*^9, 
  3.701430873160948*^9}},ExpressionUUID->"ec79267d-6775-4c47-bba4-\
0119a2fea2ce"],

Cell[BoxData[
 RowBox[{"{", 
  RowBox[{"0", ",", "1", ",", "0"}], "}"}]], "Output",
 CellChangeTimes->{3.7014308747380066`*^9, 3.701445346543749*^9, 
  3.7014456021814427`*^9, 3.701445682554161*^9, 3.701446869447892*^9, 
  3.729931840465892*^9, 3.730022962920467*^9, 3.732296507836431*^9, 
  3.765562860837*^9},ExpressionUUID->"918dca59-7f70-47ee-853d-4bc1ecd18845"]
}, Open  ]],

Cell[CellGroupData[{

Cell[BoxData[
 RowBox[{
  RowBox[{"n", "[", 
   RowBox[{"\[Pi]", "/", "2"}], "]"}], "//", "N"}]], "Input",
 CellChangeTimes->{{3.7014308772718086`*^9, 3.701430974535996*^9}, {
  3.7014456075142374`*^9, 
  3.701445608442892*^9}},ExpressionUUID->"c673dece-0aa0-4cca-ad05-\
82c1d3668dc0"],

Cell[BoxData[
 RowBox[{"{", 
  RowBox[{
   RowBox[{"-", 
    FractionBox["3.141592653589793`", 
     SqrtBox[
      RowBox[{"9.869604401089358`", "\[VeryThinSpace]", "+", 
       SuperscriptBox[
        RowBox[{"Abs", "[", 
         RowBox[{"2.`", "\[VeryThinSpace]", "-", 
          RowBox[{"2.`", " ", 
           RowBox[{
            SuperscriptBox["Abs", "\[Prime]",
             MultilineFunction->None], "[", "1.5707963267948966`", "]"}]}]}], 
         "]"}], "2"]}]]]}], ",", 
   RowBox[{"-", 
    FractionBox[
     RowBox[{"2.`", " ", 
      RowBox[{"(", 
       RowBox[{
        RowBox[{"-", "1.`"}], "+", 
        RowBox[{
         SuperscriptBox["Abs", "\[Prime]",
          MultilineFunction->None], "[", "1.5707963267948966`", "]"}]}], 
       ")"}]}], 
     SqrtBox[
      RowBox[{"9.869604401089358`", "\[VeryThinSpace]", "+", 
       SuperscriptBox[
        RowBox[{"Abs", "[", 
         RowBox[{"2.`", "\[VeryThinSpace]", "-", 
          RowBox[{"2.`", " ", 
           RowBox[{
            SuperscriptBox["Abs", "\[Prime]",
             MultilineFunction->None], "[", "1.5707963267948966`", "]"}]}]}], 
         "]"}], "2"]}]]]}], ",", "0.`"}], "}"}]], "Output",
 CellChangeTimes->{{3.701430882796726*^9, 3.7014308968287*^9}, {
   3.7014309392008114`*^9, 3.701430975155366*^9}, 3.7014453465577583`*^9, {
   3.701445604256915*^9, 3.7014456087140827`*^9}, 3.70144568261423*^9, 
   3.701446869542961*^9, 3.729931840514986*^9, 3.7300229629607487`*^9, 
   3.7322965078958473`*^9, 
   3.765562860895915*^9},ExpressionUUID->"4ffb6fa1-a708-4a64-bae3-\
c3d1f51c7af0"]
}, Open  ]],

Cell[CellGroupData[{

Cell[BoxData[
 RowBox[{"b", "[", 
  RowBox[{"\[Pi]", "/", "2"}], "]"}]], "Input",
 CellChangeTimes->{{3.7014310070070004`*^9, 
  3.7014310112460823`*^9}},ExpressionUUID->"c20c957b-d4c0-43a6-aff1-\
492f34ae8f53"],

Cell[BoxData[
 RowBox[{"{", 
  RowBox[{"0", ",", "0", ",", 
   FractionBox["\[Pi]", 
    SqrtBox[
     RowBox[{
      SuperscriptBox["\[Pi]", "2"], "+", 
      SuperscriptBox[
       RowBox[{"Abs", "[", 
        RowBox[{"2", "-", 
         RowBox[{"2", " ", 
          RowBox[{
           SuperscriptBox["Abs", "\[Prime]",
            MultilineFunction->None], "[", 
           FractionBox["\[Pi]", "2"], "]"}]}]}], "]"}], "2"]}]]]}], 
  "}"}]], "Output",
 CellChangeTimes->{3.7014310118344316`*^9, 3.701445346608801*^9, 
  3.701445682634219*^9, 3.701446869565974*^9, 3.7299318405708513`*^9, 
  3.730022963011469*^9, 3.732296507946053*^9, 
  3.765562860962551*^9},ExpressionUUID->"d16b16f3-08b8-4b7a-904c-\
79e90fd0d190"]
}, Open  ]],

Cell[BoxData[
 RowBox[{"ClearAll", "[", 
  RowBox[{"r", ",", "tg", ",", "b", ",", "n", ",", "k"}], "]"}]], "Input",
 CellChangeTimes->{{3.701444212560033*^9, 
  3.701444232845499*^9}},ExpressionUUID->"4d529bfc-10ea-41c9-b350-\
b435abd17faf"]
}, Open  ]]
}, Open  ]],

Cell[CellGroupData[{

Cell["Problema 16:", "Section",
 CellChangeTimes->{{3.701444191731902*^9, 3.701444194146635*^9}, {
  3.7621043173967867`*^9, 
  3.762104317945706*^9}},ExpressionUUID->"dce3ff34-a6fd-4e24-8f50-\
e9dee756ae2f"],

Cell["Dada la funci\[OAcute]n vectorial:", "Text",
 CellChangeTimes->{{3.7014442001939335`*^9, 
  3.7014442058572507`*^9}},ExpressionUUID->"95f5ae04-9184-4777-b795-\
9c4a0ed29181"],

Cell[BoxData[
 RowBox[{
  RowBox[{"r", "[", "t_", "]"}], ":=", 
  RowBox[{"{", 
   RowBox[{
    RowBox[{"t", "*", 
     RowBox[{"Cos", "[", "t", "]"}]}], ",", 
    RowBox[{"\[Pi]", "*", "t"}], ",", 
    RowBox[{"\[Pi]", "*", 
     RowBox[{"Sin", "[", "t", "]"}]}]}], "}"}]}]], "Input",
 CellChangeTimes->{{3.7014442364509945`*^9, 3.7014442637834387`*^9}, {
  3.7014443171863904`*^9, 3.701444318289174*^9}, {3.7014443640056467`*^9, 
  3.7014443709445953`*^9}},ExpressionUUID->"ea263454-5660-4532-9ced-\
3ae6ddf99b06"],

Cell[CellGroupData[{

Cell["Inciso a):", "Subsection",
 CellChangeTimes->{{3.7014443281001463`*^9, 
  3.701444331650718*^9}},ExpressionUUID->"5decdf5c-8172-4e98-8e9f-\
bcd0f3975185"],

Cell["\<\
Representaci\[OAcute]n de la funci\[OAcute]n, usando el sotfware Wolfram \
Mathem\[AAcute]tica 11.1 :\
\>", "Text",
 CellChangeTimes->{{3.701444335537414*^9, 
  3.7014443582645845`*^9}},ExpressionUUID->"41f949ad-e888-4d0c-9fd0-\
d61398db840c"],

Cell[CellGroupData[{

Cell[BoxData[
 RowBox[{"ParametricPlot3D", "[", 
  RowBox[{
   RowBox[{"{", 
    RowBox[{
     RowBox[{"t", "*", 
      RowBox[{"Cos", "[", "t", "]"}]}], ",", 
     RowBox[{"\[Pi]", "*", "t"}], ",", 
     RowBox[{"\[Pi]", "*", 
      RowBox[{"Sin", "[", "t", "]"}]}]}], "}"}], ",", 
   RowBox[{"{", 
    RowBox[{"t", ",", "0", ",", "2"}], "}"}], ",", 
   RowBox[{"PlotStyle", "\[Rule]", 
    RowBox[{"{", 
     RowBox[{
      RowBox[{"RGBColor", "[", 
       RowBox[{"1", ",", "0", ",", "0"}], "]"}], ",", 
      RowBox[{"Thickness", "[", "0.005", "]"}]}], "}"}]}], ",", 
   RowBox[{"PlotLabel", "\[Rule]", "\"\<Gr\[AAcute]fica de r(t)\>\""}], ",", 
   RowBox[{"AxesLabel", "\[Rule]", 
    RowBox[{"{", 
     RowBox[{"\"\<x\>\"", ",", "\"\<y\>\"", ",", "\"\<z\>\""}], "}"}]}], ",", 
   RowBox[{"ImageSize", "\[Rule]", "Medium"}]}], "]"}]], "Input",
 CellChangeTimes->{{3.7014444079618835`*^9, 
  3.7014445296783853`*^9}},ExpressionUUID->"a35a9aae-169e-47eb-ba82-\
1c48f142efdb"],

Cell[BoxData[
 Graphics3DBox[{{}, {}, 
   TagBox[
    {RGBColor[1, 0, 0], Thickness[0.005], Line3DBox[CompressedData["
1:eJwt1nk0Vd/7B3B3dqlwj+lmiqhP9I1SSYb9pKISUSkkokSUkOGTRGaNuBkr
KZWpMgsVpwyJJDKUKW6ZS4k+5vTbrfX746xnrdc666yzz7P3+zmKDqf3OlIF
BARa8EXD13bHoaYXw476NFKo4cuGIH3K/1cZvzSNHu42tGK4XEf+uh0yzQlb
+rdqzry7nc/dj2Zz1Y+1806jveqmPR//VsOKZ0ncY6hf3Hn6CS8Q/ds71FeI
a9nr5/xgrhfqNAyteMCLQlERcV7JuNpnDL834YaiNjveymReCipznv1xDtdS
tabqK9KxaN9JbkciLwdN5Z6aJ3B92h2DeBL3Ucy4TUE8j0TKoVPbQqJJ1NrR
OifQW4h0qncJGZxpRAKUqqwot0bUZ/9pS+CXcuTuZ2pf4P4RTRkVdJjYf0Tu
SclPV+yoQm4ljteoy3uRVUzpMmOxXmT/scTU62QtahnayU536EOS8XnGk/p9
yAJ+MMy4DeiS+qTAE6sh5JPuov9Ddgi17zRPj7jQhM6ovY578eAbcnmUenHA
4BsauLV95n5jM5o96prd7TaGaqcksvcpjyGRe2+TjHpb0dGyA2bRx8dR2Loq
msjCT9SZaZB+cOEDOvaz5cWLyF+oLlDn0cupCSSVnKdj2t6OrmoUn04Ln0QV
a0OPR9X8h77X5C3SvtyJ6C+KtUL9ptGx1C5LMmwKrV3tp/dCpxuJqxo39CTO
onHpnpRouxkULeMeP5zxCe1OMbg3xptHd/yy3u0UmUMCUsbjHHovkv1RbxhY
vIAkZ9/OL/8wj+R93afvJPai5JqnFNoJAahsefvq1sUFZPJuh0DtIj4CuS1/
lh2jQOdpbVKPLQBh674wN3vw0Zpe0b7zXlS4j2481vogAHZvusIFn/BRXgbH
uciTBmpzEzLB0RRg7Yg9NI/9Yiu5heZLg4rfmhNx1ykQdgAd+l7MR0eop2TM
z9FAm37eMDOeAgcznTvqS/loiU1Nw7cQGqRWvj3ScIsC+S0fG8+U8dFJEf8N
ynE0sPXus+dkUkD1FNXxRBUfqfj0U68X00D04augoJcU2CT7y/FnIx8lbS1J
dp+nwQpLtcS5nxSoNtGVyWriIw93R99yATqkayytWvhFgfdHT0wcec9HO5I5
5osYdOjL33iCMk0B+ywf4dpmPpqcPEnPWEyHM2a35RkLFNDgBzUHt/HRvixF
1x55OrwTzdVkClFhiXL9lVudfLRY7PIm0y10MMlXm/iuSIXjX3J/He/jo6BP
h5vVwukgOFOlam1OhW+qHFM+9hkjvWTHS3Sw/0BJ0N9PBYKzqsWqn4/c82Sd
Uq7R4e6pxAClg1RoVIlz3D7AR3ahnbOcBDoELg0kh2yo8GG1dgJziI+QqpXS
bDodcgqHGaedqeA9EkNf+5WPFrz3e7yupcO9zbM8h0Aq1Lh+X3INu0+Ppg61
gQ6+VYse6gdTQT/wgsEw9u87CIbuezqclluttzSMCpf8nJVvfOOjTzLvE3M6
6FATrv/u3SUqVN0weNs/ykdlL/e8iP9KB2kx94z18VQgX20JUR7jI//FxiKO
ixngZEyR639EhY4r21jHsP/yUW2/LcaAUlOt+pIcKux6Q+Tdxe7ay773UYIB
bZS1vy7nU+ExD7ylfvKRdcHrjbvlGcAqksvWKKGCesRk6Tfsm60MbTXVGVDe
cqfmTCVeV2bgcblxvA8rVP45pckAhZclm7e+ooKFwyqt3dhVVzPG07QYsET3
pwqnlgoyh4W23cfO/VMZthQY0BHneSy7gQpbmZuZ+hO4L/e3PKaYM8DlaUBg
bzsVhioW3tphd1+i6KtjwYAEvkPewy4qKFD1SwKxD/sKbPG2YsBX12prnx4q
7C61nijF3r6LbBmyZ8DF7kJCqJ8K535bLkj94qOSMd35d54MyPAWlFUbo4KZ
vF6LKnYNa9lXbF8GCHdlscbHqbAxZK5OB3tG5VzU1nMMUPFQdSn5jwruTzYt
tcSeGP90eXEIAz62uV/fOkeFyatmnkexiwjcGB2LYMD7SBFrwQUqTD3zGjmJ
PeLE2WLVKwzYvlonoV6ABo3qEpv9sPvobjK+HcsAsQ3DXvuYNDA4CJ/OY2e4
xQZGJTKgbJd07oAgDY5msHoDsfNSxgou3MLfYffRM2eFaXC7cQu6gF2xafeQ
xx0GHGM8LRdeQgPNqOq5AOw51EzZo/cZ0GmwiJcsSgP1ohMS/tj11jPM92cw
ILN15+gaggY+KowrvtjrHe3Dtj9igFuMQyMpQcP55Gbngd0qoax0Yy7u+25D
HTNpGqTVno86gX3oNff7ykIGKPP7/te7lAbXZNmyR/6ua9ZbiVvCgGVqazJO
y+HnTA3SLbDTV78/IPQcf08hTtaCAg2idv4e0ca+LOoS+a2SATPEiW0yKjR4
YCFBH8N9tLKYi85rZsD+1pgmU3UadDu/cWvHPhh+sDr1AwPC146Gd6ylQUJH
9PqX2L1LCmaudzJA86JDpeN6GrC5mY2XsfNkTjr4fGFAjuShJj9tGug8fGy4
GHsdv0tTZ4IBNysqUcpWGnQ5abFe4n2u41beVsVhgvHX85ZNB2mgy1gnGo29
LmWp8BNJJlypnfe1sKbBDuWXHoexH2zyQelLmSD6KF6u3YYGDWkC+hP4fHmt
V8+4qMSEun+6Zj/Z08BitGJSCPvj2ZSzpuuYcNpiYq7PFffxcFDNCD7X8hFB
sh/NmdAzHy7UEUiDw7KMThecMwJ3tjl8jWbC3pGwr07pNPA92f97bpCPtk3p
8dbGMSHfqfyWWBYNXpR6rLqMPcJUq8I3iQkn+bbPnz7COf3mfdI9nGOLf69S
oqcyQZ560VA4nwaf39zseI7zUMZa5LNsARPaTh0KffCcBhPBVQXRvXy0UbzD
3rSVCUJe72PLm2jQZHsh7DnOYdfI0/Z5XBb8r77gQvAcDTYXDlFl8Lxoc79x
xDeVBWY74vaYmNCBv/NKne5zfL6iRee80lgQ5lpukL6HDmOv+5psnuE5lRMe
55nFgmcV7/IF9tLBolQjJQHPI73vnnWn8lmgdcKNnX+ADhVrbmtMF/HRPVfj
9ccqWFDbPHFtyRE6xN+w5Thm4/lyfJ5l/pkFKsNfR7M96RC7d+Hnt2Q+Erax
zVFVEoTkNw94V3B+b/+h55Tti+eskdJC911BGJ3o3FzSQwfLYO3gGSk+atqu
nQG32FBdUKoh5cSAQamR7hfRvSg7L0n780MhaOCNKUSNMaD9c2BQ5HAPUli+
2sU2UxhCUpR+NTkxIYs39qHP4hPqoggGc58vguOKM1/oPUzQzbXImg3vQi8E
z6Q11i4G4tOF8YydLHDMm9gRfbMDbZIQdXGoXgIrYwmV3HssOJswPnlv+0c0
f21SXLNNBMj7VWJdsyzw0r+xP6ejFalGRKifdhEFJf1zfEMDQQgsL3bdu7UZ
DVt3dhgMikJcziP7jwGCMLB+rrx8fSPa0988U+QmBgHJ1159LhKEM0+Spvug
DgV4OjpLjopBoXjiVsUeQTARXlUvJVWJ9j25uUvShwNZaykFZQJsWGETVHt0
rgK5TTj8kfiXA3PLPYxUKGz4LazdkdFTgSI1VAsl/DjAV/ymfQV77Fq1TfIZ
Fag8q0ROIoAD5u3TmyypbNim/H2yaFMF+ieldYwI50DgLpWUIRob1ITSWTcs
X6K5CJEEsXgOuBglsr8y2ZBtUXXJYwWJ7lmFfFn0hAOM82sMfRaxQSX4T8zQ
YDGamHfxp01y4Oq6pv4HEmxIyiDddbKLka2l8aqZKQ407HDJ/YL93LMw0yCv
YlRboNb2fYYDRh/aPi2TZMP1uB2LBgSK0W2Xb+odvzmw7JSyUxL2/K0NhQT3
Cdr18dSXXAYB6RXOKiFSbNjSwu4WMCpEdwrcd9lKEDBYZnNQm8sG21VqVWpJ
uWi3i4906XoCgou+R2jIskF+YeNi/uFcVFx9oDp7IwH1nrZ11ti3uSQHXlTK
RUqKWp73NxGwwfmseyh281edb5wO5qDpD1NvonQJoI8/GmzFTni1lnX7PUap
288GHt9GwJT4jyAPOTYUt4ed+v08E00v8x8g9hMw/UjU8bI8GyZvaYQorElF
Dz4EFbqdISDMg9u7cxkb9vH79AWz7qKRao2ea94E1OpHnnPAvsF4/5pmlbtI
o7CHneNLQN7aEVs/7CYXpItF5O6gZ9F6dj/OEVDTFPo7Hfv5HZQcI/FbqGnn
DNs9lIDjy2k3ZrFLDSVq6AndRFKbMtZHhxOwU3HGa7EiGxzcGvZP/UlCNisO
2uVGEuB+pDtBAfsPlcHU0pEENEgtKhy7QoBrrFvRFuxqAwdX+pZdR/PP3O08
4ghYkZC25zz2/hd7onh5PGSQpXApJoGAI/oUl0vYM+X7Wz0fxKCIxIbCvCQC
Yq4b1sdj7/Y220znRiEx79VC48kEwOco58fY5yslm0pywtHKNUOFnmkEVLqL
C7zHbmOVpoliQ9Ep2YQeXgYBzyueWbVjl7VUeLvn32CUL2QoVJBFgM8F47ke
7DzVnVUKAf5Id/Ce3UQ2Af8EL5f8in339o7pgK3/oqDWvZeIPALqvFyjfmDf
6KouOcHyQjWVlCLNAgLOa9w0m8CeUGOxeIOsE9p7x07Iq5gAmxt5WdPYDTRa
bTehwyjh2pINsaUE7FNM3DqLXWS/nUtJ6A7U7V9mV/iMgEml48pz2B3PdSSk
T68jl7uevNRSRkBLoozJX4c4ro9VhQXpZCVT9IskoCqopOzvcxaq0B9px6Pk
I6O6HvEKAnr5uj4z2J3jZIPaR1zJ8Q1nhTZUERBRkeEzhf2QrSBFS9uT1FL+
Z4PFK/ye6+bLf2H3/7dY8et5H/I854Od92sCDLdr7fmJnXVNi3ax0o+sEAi/
FFdHwBlx65Wj2F+tkQoXFQokBX+sLyqqJ2Bv+TGjIex+/5ucHq0PIXlveEKT
jQRs27jOrgt76YS9j4bDFTIj1LTIp52ApJH80WfYVzdor7sfeY0c9fzdE99J
wKrbXEb+3z4eZSx7dTCa1LR/JFTcTcD17hPH0rG3dH6KtAnkkWV6Qkem+ATc
1H09G4V9U5L/wJameLJ5slro3xEClhiHh1ti7zUvrhoMTCEXnPWOnJ0jwNzN
aWkN3ucKkfR+jsEd0vSZKnj/JmCR7cjyAuyRnC1046o7ZMpi6WUefwjwiOVe
vY39cZPyZWbtXRLyx3ucaeKQNxAQcAa7z4zc4azme2TwXLqdpbA4yJ7z6pb4
e049vimmjqaTrGscOy0ZcThhdv2KrgIbxle+3Si3NJcUKRg8/N9mcWC35BaK
4RyYW3N1/EFYCan4O+aQh584DD8ScejEOSZhapkZ+K6E3P3ZpDTBXxxaC3zM
bmCPtKy86cQtJf+tYUuVB4hDRODnYEvscQfWqzo8LiXfxgS9FwoRhzH5xoL3
OD+1tN0fUdqekn4rPHbevywOtdWbDcvF8T5Z/d/moVVlZPMeM60Pt/D9f7jq
nhw2RHtb+it+f0GGpS4h9Ehx0EIhy0wWs8Gp1ndmX1E1OWJ0uU6QLgFOZkqi
jXi+dMSYZX12fEfWrKhH8pclYNgmaqgGzyOWDXWbvGMLeUowja7IloQlMxUX
Pj4RhFDu1HLbh+3k0zvKepUxkhCtF+UTECgIQuOHV+15+Yls1NGt3ismBaFv
B4ibWwShrDi58dcYn5xxubnvyDUpSLt7TMZ7jgXp8f1VLW/6yFqzFIvFktKg
71ZV33WfBUUGtDrh8EHSQVs3PT1WGvwGhOMtd7FAsaijypo3SJ4YfftfV7w0
HO5Ytz9nBwtobWIdWbcHSY+7dts4SdIw0rLTmmHEAs/S6+amxYPkBXYI3z9Z
GkyC/PVztrLgNSfmeOrQIHmrvVZmb5o0rD553HlWlwU3sgKKAoyHyLazB6Pn
i6UhrOmbiZs6C4J4LbvonGFy11PPs+ad0uAQ+qOsnmDB91wnnrf8MGnuRn8d
3i0N7AuU2EUcFrCcmr8Mqg6Tlkrxks97pMH1REGBsSgL2irkUt9tHSaPXyot
WNEnDQ/81zTWLGKBoHP7+Yfew2SItcD3uW94vctZgcUMFizV89eNbR8my2av
OqQtSMO59gsvvKaY0CpZ9lliYJisylbI6xTgwhpzOa3M/5hgJ+BxKXF8mKx3
yPsjSuMCY9nm6a4JJqRfl+i6IzxCdtS13DrH4sLk3f9ZG4wxIbAt7GyZ3gg5
dUPmg5koF5ZHXr5NH2ZCQ/91WaNdI+Qf08cq4RwuEF9KXTQHmeAy0P686cAI
yaQhr2fiXLDu6wiy72eCa+T38eHTI6S4q4PYCi4X3rquiXnGZ8Jqq8cRvv4j
pIzCL7tDMlzoe33+4iD+H5s7GyrFvDhCLm8Oy46W44KK30w95xMTrr75ejcu
boRUjZD6Xa3AhbnpnEN6XUxIlj60YkXqCLlWJ9N4TpELLlU5G5w6mPB/NbYL
vw==
      "]]},
    Annotation[#, "Charting`Private`Tag$3321#1"]& ]},
  Axes->True,
  AxesLabel->{
    FormBox["\"x\"", TraditionalForm], 
    FormBox["\"y\"", TraditionalForm], 
    FormBox["\"z\"", TraditionalForm]},
  DisplayFunction->Identity,
  FaceGridsStyle->Automatic,
  ImageSize->Medium,
  Method->{},
  PlotLabel->FormBox["\"Gr\[AAcute]fica de r(t)\"", TraditionalForm],
  PlotRange->{{-0.8322935818803391, 0.5610963092317609}, {0., 
   6.283185178951315}, {0., 3.14159260025472}},
  PlotRangePadding->{
    Scaled[0.02], 
    Scaled[0.02], 
    Scaled[0.02]},
  Ticks->{Automatic, Automatic, Automatic},
  ViewPoint->{1.3763418404877041`, -2.1661562804770695`, 2.2053231297641323`},
  ViewVertical->{-0.47486972281500894`, 0.021966806636659064`, 
   1.9883936992989413`}]], "Output",
 CellChangeTimes->{{3.7014444391820717`*^9, 3.7014444682707624`*^9}, {
   3.7014445029894185`*^9, 3.7014445300176463`*^9}, 3.701445346713873*^9, 
   3.7014456827422943`*^9, 3.7014459828538866`*^9, 3.7014468696980724`*^9, 
   3.729931840662695*^9, 3.730022963143866*^9, 3.73229650803056*^9, 
   3.765562861074504*^9},ExpressionUUID->"d5127813-504f-4060-99f1-\
4e8715907677"]
}, Open  ]],

Cell[CellGroupData[{

Cell["Inciso b):", "Subsubsection",
 CellChangeTimes->{{3.701444538736824*^9, 
  3.701444540832399*^9}},ExpressionUUID->"6d0205d1-27a3-47c2-b703-\
4503cfd7ce20"],

Cell["La longitud de arco, estar\[AAcute] dada, por:", "Text",
 CellChangeTimes->{{3.7014445424294477`*^9, 
  3.7014445525426283`*^9}},ExpressionUUID->"23dff7fb-8596-4365-9551-\
71cf7b6f0bdb"],

Cell[CellGroupData[{

Cell[BoxData[
 RowBox[{"lc", "=", 
  RowBox[{
   RowBox[{
    SubsuperscriptBox["\[Integral]", "0", "2"], 
    RowBox[{
     RowBox[{"Norm", "[", 
      RowBox[{
       RowBox[{"r", "'"}], "[", "t", "]"}], "]"}], 
     RowBox[{"\[DifferentialD]", "t"}]}]}], "//", "N"}]}]], "Input",
 CellChangeTimes->{
  3.7014445681436515`*^9},ExpressionUUID->"c640e359-9792-44ed-92e2-\
83675300922f"],

Cell[BoxData["7.759594449692681`"], "Output",
 CellChangeTimes->{3.7014446059405184`*^9, 3.70144466893727*^9, 
  3.701445407814293*^9, 3.701445741149459*^9, 3.7014469293642693`*^9, 
  3.729931879596754*^9, 3.730023001046831*^9, 3.73229654659625*^9, 
  3.765562898616406*^9},ExpressionUUID->"36a7c09d-b99f-4328-bda4-\
a4cfa582d848"]
}, Open  ]]
}, Open  ]],

Cell[CellGroupData[{

Cell["Inciso c):", "Subsubsection",
 CellChangeTimes->{{3.7014447188307257`*^9, 
  3.701444721514699*^9}},ExpressionUUID->"6e48d2c4-7972-4284-bbdf-\
6cc3b4033ae4"],

Cell[TextData[{
 "Expresar la curvatura ",
 StyleBox["K",
  FontWeight->"Bold"],
 " en funci\[OAcute]n de t. Luego calcular ",
 StyleBox["K ",
  FontWeight->"Bold"],
 "cuando t es 0, 1 y 2."
}], "Text",
 CellChangeTimes->{{3.7014447282964725`*^9, 
  3.7014447804915676`*^9}},ExpressionUUID->"2580e5e5-d2eb-49f6-adf4-\
1f755efc099b"],

Cell[BoxData[
 RowBox[{
  RowBox[{"tg", "[", "t_", "]"}], ":=", 
  RowBox[{"Simplify", "[", 
   RowBox[{
    RowBox[{
     RowBox[{
      RowBox[{"r", "'"}], "[", "t", "]"}], "/", 
     RowBox[{"Norm", "[", 
      RowBox[{
       RowBox[{"r", "'"}], "[", "t", "]"}], "]"}]}], ",", 
    RowBox[{
     RowBox[{"t", ">", "0"}], "&&", 
     RowBox[{"Element", "[", 
      RowBox[{"t", ",", "Reals"}], "]"}]}]}], "]"}]}]], "Input",
 CellChangeTimes->{{3.7014447837308474`*^9, 3.7014448148359547`*^9}, {
  3.7014451603155613`*^9, 3.7014451718707867`*^9}, {3.70144602162646*^9, 
  3.7014460264048557`*^9}, {3.701446088991334*^9, 3.7014460939828815`*^9}, {
  3.7014461455845556`*^9, 3.701446146153959*^9}, {3.7014462042432413`*^9, 
  3.701446217076345*^9}},ExpressionUUID->"2fb4bd6f-e230-487a-9859-\
762dc26b28dc"],

Cell[CellGroupData[{

Cell[BoxData[
 RowBox[{"tg", "[", "t", "]"}]], "Input",
 CellChangeTimes->{{3.701444817231656*^9, 3.7014448190339975`*^9}, {
  3.701445136240465*^9, 3.7014451457332077`*^9}, {3.7014451764140162`*^9, 
  3.70144517820529*^9}},ExpressionUUID->"93bb828e-3897-4a95-a836-\
2ce343cf18d6"],

Cell[BoxData[
 RowBox[{"{", 
  RowBox[{
   FractionBox[
    RowBox[{
     RowBox[{"Cos", "[", "t", "]"}], "-", 
     RowBox[{"t", " ", 
      RowBox[{"Sin", "[", "t", "]"}]}]}], 
    SqrtBox[
     RowBox[{
      SuperscriptBox["\[Pi]", "2"], "+", 
      RowBox[{
       SuperscriptBox["\[Pi]", "2"], " ", 
       SuperscriptBox[
        RowBox[{"Cos", "[", "t", "]"}], "2"]}], "+", 
      SuperscriptBox[
       RowBox[{"(", 
        RowBox[{
         RowBox[{"Cos", "[", "t", "]"}], "-", 
         RowBox[{"t", " ", 
          RowBox[{"Sin", "[", "t", "]"}]}]}], ")"}], "2"]}]]], ",", 
   FractionBox["\[Pi]", 
    SqrtBox[
     RowBox[{
      SuperscriptBox["\[Pi]", "2"], "+", 
      RowBox[{
       SuperscriptBox["\[Pi]", "2"], " ", 
       SuperscriptBox[
        RowBox[{"Cos", "[", "t", "]"}], "2"]}], "+", 
      SuperscriptBox[
       RowBox[{"(", 
        RowBox[{
         RowBox[{"Cos", "[", "t", "]"}], "-", 
         RowBox[{"t", " ", 
          RowBox[{"Sin", "[", "t", "]"}]}]}], ")"}], "2"]}]]], ",", 
   FractionBox[
    RowBox[{"\[Pi]", " ", 
     RowBox[{"Cos", "[", "t", "]"}]}], 
    SqrtBox[
     RowBox[{
      SuperscriptBox["\[Pi]", "2"], "+", 
      RowBox[{
       SuperscriptBox["\[Pi]", "2"], " ", 
       SuperscriptBox[
        RowBox[{"Cos", "[", "t", "]"}], "2"]}], "+", 
      SuperscriptBox[
       RowBox[{"(", 
        RowBox[{
         RowBox[{"Cos", "[", "t", "]"}], "-", 
         RowBox[{"t", " ", 
          RowBox[{"Sin", "[", "t", "]"}]}]}], ")"}], "2"]}]]]}], 
  "}"}]], "Output",
 CellChangeTimes->{
  3.7014448192751083`*^9, 3.701445146400667*^9, 3.7014451788167048`*^9, 
   3.7014454081415253`*^9, 3.7014457414346476`*^9, 3.701445880529499*^9, 
   3.701446030047425*^9, 3.7014460962134504`*^9, 3.701446148358508*^9, {
   3.70144621106007*^9, 3.701446220456747*^9}, 3.7014469296274548`*^9, 
   3.729931879923295*^9, 3.7300230012924623`*^9, 3.7322965468597403`*^9, 
   3.765562898860766*^9},ExpressionUUID->"6fd9b4ae-8812-44a4-a787-\
09f6c591cb4d"]
}, Open  ]],

Cell["Y la curvatura en funci\[OAcute]n del tiempo, estar\[AAcute] dada \
por:", "Text",
 CellChangeTimes->{{3.7014448595177097`*^9, 
  3.701444869653931*^9}},ExpressionUUID->"0e9699d0-0c24-453b-a277-\
3ca7a7c2b509"],

Cell[BoxData[
 RowBox[{
  RowBox[{"k", "[", "t_", "]"}], ":=", 
  RowBox[{"Simplify", "[", 
   RowBox[{
    RowBox[{
     FractionBox["1", 
      RowBox[{"Norm", "[", 
       RowBox[{
        RowBox[{"r", "'"}], "[", "t", "]"}], "]"}]], "*", 
     RowBox[{"Norm", "[", 
      RowBox[{
       RowBox[{"tg", "'"}], "[", "t", "]"}], "]"}]}], ",", 
    RowBox[{
     RowBox[{"t", "\[GreaterEqual]", " ", "0"}], "&&", 
     RowBox[{"Element", "[", 
      RowBox[{"t", ",", "Reals"}], "]"}]}], ",", 
    RowBox[{"Trig", "\[Rule]", "True"}]}], "]"}]}]], "Input",
 CellChangeTimes->{{3.7014448718674855`*^9, 3.701444897901081*^9}, {
   3.7014451884635787`*^9, 3.701445193899443*^9}, {3.7014452407225437`*^9, 
   3.701445247509368*^9}, {3.7014458997121325`*^9, 3.7014459692382402`*^9}, 
   3.701446105283899*^9, {3.701446231035283*^9, 3.7014462327254686`*^9}, 
   3.7014466502589517`*^9, {3.701446774706212*^9, 3.70144678762339*^9}, {
   3.7014468281371655`*^9, 
   3.70144684756587*^9}},ExpressionUUID->"c6922bcc-da4d-4b79-a08d-\
e5aeba678fdc"],

Cell[CellGroupData[{

Cell[BoxData[
 RowBox[{
  RowBox[{"k", "[", "t", "]"}], "//", "N"}]], "Input",
 CellChangeTimes->{{3.7014452236595736`*^9, 3.7014452740302334`*^9}, {
  3.7014462530659328`*^9, 
  3.701446254001587*^9}},ExpressionUUID->"3aa26eb0-f563-432d-a015-\
7486a5c41b35"],

Cell[BoxData[
 RowBox[{"0.5`", " ", 
  RowBox[{"\[Sqrt]", 
   RowBox[{"(", 
    RowBox[{
     RowBox[{"(", 
      RowBox[{
       RowBox[{"194.81818206800486`", " ", 
        SuperscriptBox[
         RowBox[{"Abs", "[", 
          FractionBox[
           RowBox[{
            RowBox[{"8.`", " ", "t", " ", 
             RowBox[{"Cos", "[", "t", "]"}]}], "+", 
            RowBox[{"9.`", " ", 
             RowBox[{"Sin", "[", "t", "]"}]}], "+", 
            RowBox[{"Sin", "[", 
             RowBox[{"3.`", " ", "t"}], "]"}]}], 
           SuperscriptBox[
            RowBox[{"(", 
             RowBox[{"30.608813203268074`", "\[VeryThinSpace]", "+", 
              SuperscriptBox["t", "2"], "+", 
              RowBox[{
               RowBox[{"(", 
                RowBox[{"10.869604401089358`", "\[VeryThinSpace]", "-", 
                 RowBox[{"1.`", " ", 
                  SuperscriptBox["t", "2"]}]}], ")"}], " ", 
               RowBox[{"Cos", "[", 
                RowBox[{"2.`", " ", "t"}], "]"}]}], "-", 
              RowBox[{"2.`", " ", "t", " ", 
               RowBox[{"Sin", "[", 
                RowBox[{"2.`", " ", "t"}], "]"}]}]}], ")"}], 
            RowBox[{"3", "/", "2"}]]], "]"}], "2"]}], "+", 
       FractionBox[
        RowBox[{"39.47841760435743`", " ", 
         SuperscriptBox[
          RowBox[{"(", 
           RowBox[{
            RowBox[{
             RowBox[{"-", "1.`"}], " ", "t", " ", 
             SuperscriptBox[
              RowBox[{"Cos", "[", "t", "]"}], "3"]}], "+", 
            RowBox[{
             RowBox[{"(", 
              RowBox[{
               RowBox[{"-", "1.`"}], "+", 
               SuperscriptBox["t", "2"]}], ")"}], " ", 
             SuperscriptBox[
              RowBox[{"Cos", "[", "t", "]"}], "2"], " ", 
             RowBox[{"Sin", "[", "t", "]"}]}], "+", 
            RowBox[{
             RowBox[{"Sin", "[", "t", "]"}], " ", 
             RowBox[{"(", 
              RowBox[{"9.869604401089358`", "\[VeryThinSpace]", "+", 
               RowBox[{
                SuperscriptBox["t", "2"], " ", 
                SuperscriptBox[
                 RowBox[{"Sin", "[", "t", "]"}], "2"]}]}], ")"}]}]}], ")"}], 
          "2"]}], 
        SuperscriptBox[
         RowBox[{"(", 
          RowBox[{"9.869604401089358`", "\[VeryThinSpace]", "+", 
           RowBox[{"9.869604401089358`", " ", 
            SuperscriptBox[
             RowBox[{"Cos", "[", "t", "]"}], "2"]}], "+", 
           SuperscriptBox[
            RowBox[{"(", 
             RowBox[{
              RowBox[{"Cos", "[", "t", "]"}], "-", 
              RowBox[{"1.`", " ", "t", " ", 
               RowBox[{"Sin", "[", "t", "]"}]}]}], ")"}], "2"]}], ")"}], 
         "3"]], "+", 
       FractionBox[
        SuperscriptBox[
         RowBox[{"(", 
          RowBox[{
           RowBox[{
            RowBox[{"-", "6.283185307179586`"}], " ", 
            RowBox[{"(", 
             RowBox[{
              RowBox[{"t", " ", 
               RowBox[{"Cos", "[", "t", "]"}]}], "+", 
              RowBox[{"2.`", " ", 
               RowBox[{"Sin", "[", "t", "]"}]}]}], ")"}], " ", 
            RowBox[{"(", 
             RowBox[{
              RowBox[{
               RowBox[{"-", "1.`"}], " ", 
               RowBox[{"Cos", "[", "t", "]"}]}], "+", 
              RowBox[{"t", " ", 
               RowBox[{"Sin", "[", "t", "]"}]}]}], ")"}]}], "+", 
           RowBox[{"31.006276680299816`", " ", 
            RowBox[{"Sin", "[", 
             RowBox[{"2.`", " ", "t"}], "]"}]}]}], ")"}], "2"], 
        SuperscriptBox[
         RowBox[{"(", 
          RowBox[{"9.869604401089358`", "\[VeryThinSpace]", "+", 
           RowBox[{"9.869604401089358`", " ", 
            SuperscriptBox[
             RowBox[{"Cos", "[", "t", "]"}], "2"]}], "+", 
           SuperscriptBox[
            RowBox[{"(", 
             RowBox[{
              RowBox[{"Cos", "[", "t", "]"}], "-", 
              RowBox[{"1.`", " ", "t", " ", 
               RowBox[{"Sin", "[", "t", "]"}]}]}], ")"}], "2"]}], ")"}], 
         "3"]]}], ")"}], "/", 
     RowBox[{"(", 
      RowBox[{"9.869604401089358`", "\[VeryThinSpace]", "+", 
       RowBox[{"9.869604401089358`", " ", 
        SuperscriptBox[
         RowBox[{"Cos", "[", "t", "]"}], "2"]}], "+", 
       SuperscriptBox[
        RowBox[{"(", 
         RowBox[{
          RowBox[{"Cos", "[", "t", "]"}], "-", 
          RowBox[{"1.`", " ", "t", " ", 
           RowBox[{"Sin", "[", "t", "]"}]}]}], ")"}], "2"]}], ")"}]}], 
    ")"}]}]}]], "Output",
 CellChangeTimes->{
  3.7014452264595656`*^9, {3.701445258811399*^9, 3.701445274319422*^9}, 
   3.701445420924616*^9, 3.701445753804437*^9, {3.701445895196924*^9, 
   3.7014459073365498`*^9}, 3.7014459441814137`*^9, 3.7014461219057074`*^9, {
   3.7014462488279085`*^9, 3.7014462574610434`*^9}, 3.701446668979244*^9, 
   3.7014467981818743`*^9, 3.7014469450984497`*^9, 3.729931892339634*^9, 
   3.730023013136203*^9, 3.732296558369334*^9, 
   3.7655629098844643`*^9},ExpressionUUID->"a9ac43e1-b7c7-438b-9e7f-\
42599cd8c98c"]
}, Open  ]],

Cell["Para los valores de t dados, tenemos:", "Text",
 CellChangeTimes->{{3.701444904556811*^9, 
  3.7014449108212643`*^9}},ExpressionUUID->"cfbe74cd-47b0-47de-8455-\
b202701ae841"],

Cell[CellGroupData[{

Cell[BoxData[
 RowBox[{"k", "[", "0", "]"}]], "Input",
 CellChangeTimes->{{3.7014449123473296`*^9, 
  3.7014449149872065`*^9}},ExpressionUUID->"2c3fff92-9387-48c2-aa74-\
bc925f98b11b"],

Cell[BoxData["0"], "Output",
 CellChangeTimes->{
  3.7014449160379715`*^9, 3.7014451976340795`*^9, 3.701445420993659*^9, 
   3.7014457538854957`*^9, 3.701446133139692*^9, {3.7014468180089674`*^9, 
   3.7014468523122616`*^9}, 3.7014469451775064`*^9, 3.7299318924612303`*^9, 
   3.730023013251194*^9, 3.732296558498107*^9, 
   3.765562910003283*^9},ExpressionUUID->"d6df2243-e533-4681-9e08-\
83c89a6c8d81"]
}, Open  ]],

Cell[CellGroupData[{

Cell[BoxData[
 RowBox[{
  RowBox[{"k", "[", "1", "]"}], "//", "N"}]], "Input",
 CellChangeTimes->{{3.7014452015588865`*^9, 
  3.7014452091102357`*^9}},ExpressionUUID->"8dd95e8a-7120-49e8-8076-\
a837547c79f2"],

Cell[BoxData["0.2558710327071663`"], "Output",
 CellChangeTimes->{{3.701445204666094*^9, 3.701445209383443*^9}, 
   3.701445421202808*^9, 3.7014457540886393`*^9, 3.701446134884954*^9, 
   3.70144685359517*^9, 3.7014469454016666`*^9, 3.7299318926242037`*^9, 
   3.730023013399741*^9, 3.7322965586577673`*^9, 
   3.765562910154484*^9},ExpressionUUID->"d96a764f-1e10-4cc3-aca2-\
6ca3ed32bcc0"]
}, Open  ]],

Cell[CellGroupData[{

Cell[BoxData[
 RowBox[{
  RowBox[{"k", "[", "2", "]"}], "//", "N"}]], "Input",
 CellChangeTimes->{{3.7014452148082857`*^9, 
  3.7014452202931824`*^9}},ExpressionUUID->"1be8bc05-31ff-41bc-bcc3-\
53f6efdf23e8"],

Cell[BoxData["0.15970113965830046`"], "Output",
 CellChangeTimes->{3.7014452205583925`*^9, 3.7014454214349747`*^9, 
  3.7014457542997894`*^9, 3.7014461372225933`*^9, 3.7014468547429676`*^9, 
  3.7014469456398344`*^9, 3.729931892794504*^9, 3.730023013573619*^9, 
  3.7322965588368692`*^9, 
  3.765562910324417*^9},ExpressionUUID->"64fcbd3e-1010-490c-84ec-\
b3d9b5b86b9b"]
}, Open  ]],

Cell[BoxData[
 RowBox[{"ClearAll", "[", 
  RowBox[{"r", ",", "lc", ",", "tg", ",", "k"}], "]"}]], "Input",
 CellChangeTimes->{{3.7014454700775423`*^9, 
  3.701445485245343*^9}},ExpressionUUID->"af47f770-442c-4007-8e15-\
4fb4f7527492"]
}, Open  ]]
}, Open  ]]
}, Open  ]]
}, Open  ]]
}, Open  ]]
}, Open  ]]
},
WindowSize->{808, 699},
WindowMargins->{{0, Automatic}, {Automatic, -23}},
SpellingDictionaries->{"CorrectWords"->{
 "Stewart", "graficar", "param\[EAcute]tricas", "segmentaria", "Talijancic", 
  "Inciso", "Ejercicio", "orientaci\[OAcute]n"}},
FrontEndVersion->"11.2 for Mac OS X x86 (32-bit, 64-bit Kernel) (September \
10, 2017)",
StyleDefinitions->"Default.nb"
]
(* End of Notebook Content *)

(* Internal cache information *)
(*CellTagsOutline
CellTagsIndex->{}
*)
(*CellTagsIndex
CellTagsIndex->{}
*)
(*NotebookFileOutline
Notebook[{
Cell[CellGroupData[{
Cell[580, 22, 121, 1, 98, "Title",ExpressionUUID->"96df9af0-5202-44af-8332-113bfe6fc7f1"],
Cell[704, 25, 182, 3, 69, "Chapter",ExpressionUUID->"b8597453-cd75-4fbd-a5b6-37475b7c4c65"],
Cell[CellGroupData[{
Cell[911, 32, 178, 3, 58, "Chapter",ExpressionUUID->"7eb0c3f2-1e57-4868-9211-daf079e3a279"],
Cell[CellGroupData[{
Cell[1114, 39, 197, 2, 65, "Subchapter",ExpressionUUID->"f498371b-30c9-4bc2-8d5e-240d6c6c4934"],
Cell[CellGroupData[{
Cell[1336, 45, 96, 1, 67, "Section",ExpressionUUID->"72fd3dd0-f36e-4416-b7b8-4340b7811aac"],
Cell[1435, 48, 113, 1, 35, "Text",ExpressionUUID->"8a89c70c-516d-4f49-8c01-f8b52829c804"],
Cell[CellGroupData[{
Cell[1573, 53, 381, 12, 54, "Subsection",ExpressionUUID->"b557faf5-ad4d-4589-a457-7cdfba3cff6b"],
Cell[CellGroupData[{
Cell[1979, 69, 344, 10, 33, "Input",ExpressionUUID->"c42e2b4e-b4e6-4675-a1f3-e4e4cae7855f"],
Cell[2326, 81, 950, 21, 38, "Output",ExpressionUUID->"b215e02f-d030-4273-8c22-fba6b5eae69d"]
}, Open  ]],
Cell[3291, 105, 321, 8, 30, "Input",ExpressionUUID->"cf6a8a2d-2dbc-444e-938f-f8a63b9082ac"],
Cell[3615, 115, 212, 4, 35, "Text",ExpressionUUID->"e2f2c1fc-96e0-4ba4-82f7-8009f2a462ae"],
Cell[CellGroupData[{
Cell[3852, 123, 466, 12, 30, "Input",ExpressionUUID->"455f4aef-5991-4872-b70a-ffeb3807bfb2"],
Cell[4321, 137, 4454, 91, 255, "Output",ExpressionUUID->"12ba768d-66b8-47d1-a2d3-9eb5c96de684"]
}, Open  ]],
Cell[CellGroupData[{
Cell[8812, 233, 1201, 28, 38, "Input",ExpressionUUID->"44b0bfcd-9021-4b3c-9544-d0ca70c9e8c1"],
Cell[10016, 263, 44706, 733, 422, "Output",ExpressionUUID->"0bfb94c4-ca43-42d5-8fc6-6fca1f9f6edc"]
}, Open  ]]
}, Open  ]],
Cell[CellGroupData[{
Cell[54771, 1002, 296, 10, 59, "Subsection",ExpressionUUID->"c36953b5-5488-41e7-92d5-b0acddeb8dc8"],
Cell[CellGroupData[{
Cell[55092, 1016, 378, 12, 46, "Input",ExpressionUUID->"81fd4ca2-30be-4cc4-ae2c-3ad4a303da3e"],
Cell[55473, 1030, 918, 19, 51, "Output",ExpressionUUID->"63771649-a44d-4006-927e-f578598e67fb"]
}, Open  ]],
Cell[56406, 1052, 296, 8, 30, "Input",ExpressionUUID->"79786b43-0fa6-403c-afc9-8bdea9f67bb5"],
Cell[CellGroupData[{
Cell[56727, 1064, 461, 12, 30, "Input",ExpressionUUID->"5bffcd36-abe2-4e59-83ad-885d3db21ff3"],
Cell[57191, 1078, 3859, 81, 241, "Output",ExpressionUUID->"4dc79796-254c-4d19-b36e-b164dce13934"]
}, Open  ]],
Cell[CellGroupData[{
Cell[61087, 1164, 1087, 27, 48, "Input",ExpressionUUID->"63620222-1d91-4d18-96ec-3c8ad5aa80d8"],
Cell[62177, 1193, 34971, 571, 291, "Output",ExpressionUUID->"27c9345b-76d9-4fa5-bf2a-5ce3164039da"]
}, Open  ]]
}, Open  ]],
Cell[CellGroupData[{
Cell[97197, 1770, 448, 13, 54, "Subsection",ExpressionUUID->"cacdef4d-258d-4300-b581-d657dd3e0229"],
Cell[CellGroupData[{
Cell[97670, 1787, 352, 11, 33, "Input",ExpressionUUID->"bd1b5176-9ff6-4a96-999c-1dc9f902387a"],
Cell[98025, 1800, 981, 23, 45, "Output",ExpressionUUID->"02079dfc-e8df-49aa-b4ce-a32b741072d6"]
}, Open  ]],
Cell[99021, 1826, 296, 8, 30, "Input",ExpressionUUID->"5491f8ae-66b7-4781-b440-7e0a356a7e2b"],
Cell[CellGroupData[{
Cell[99342, 1838, 466, 12, 30, "Input",ExpressionUUID->"ed15800a-31f0-440f-baa3-991bf2d7ef20"],
Cell[99811, 1852, 4955, 100, 252, "Output",ExpressionUUID->"692d58dc-0c8a-46d9-8cd8-9164794a20c8"]
}, Open  ]],
Cell[CellGroupData[{
Cell[104803, 1957, 964, 24, 42, "Input",ExpressionUUID->"5c130dc8-9f3d-405e-8c30-4c505b31595a"],
Cell[105770, 1983, 42767, 694, 400, "Output",ExpressionUUID->"81bfe4d6-2500-4e1d-b725-1a4d45db7342"]
}, Open  ]]
}, Open  ]]
}, Open  ]],
Cell[CellGroupData[{
Cell[148598, 2684, 99, 1, 67, "Section",ExpressionUUID->"008753a2-bd83-4c4a-8a16-d1462535e28f"],
Cell[148700, 2687, 170, 3, 35, "Text",ExpressionUUID->"fe39dbec-f8ab-4cc0-89ce-62c539cb0576"],
Cell[CellGroupData[{
Cell[148895, 2694, 104, 1, 54, "Subsection",ExpressionUUID->"e5321bb2-e2a5-4abc-af92-53f6440db015"],
Cell[149002, 2697, 154, 2, 35, "Text",ExpressionUUID->"99c0d82f-7088-4832-ae88-d25d7e2c06e8"],
Cell[CellGroupData[{
Cell[149181, 2703, 1002, 25, 38, "Input",ExpressionUUID->"6c5f2bb1-1585-4cc7-a840-e7e7bcb2c575"],
Cell[150186, 2730, 2867, 57, 306, "Output",ExpressionUUID->"ccab24a5-85b8-4d90-b35b-1bb5ee15dfae"]
}, Open  ]],
Cell[CellGroupData[{
Cell[153090, 2792, 848, 21, 30, "Input",ExpressionUUID->"6366ca53-bef9-4a95-9376-f64b98de43a6"],
Cell[153941, 2815, 32438, 529, 306, "Output",ExpressionUUID->"dfc7471b-9397-4910-b7dc-5b4b591cf3c0"]
}, Open  ]],
Cell[CellGroupData[{
Cell[186416, 3349, 594, 12, 30, "Input",ExpressionUUID->"6ac17141-8fcf-490c-8b11-74b171765d66"],
Cell[187013, 3363, 190770, 3116, 411, 76722, 1247, "CachedBoxData", "BoxData", "Output",ExpressionUUID->"5d2c3169-a995-454a-8dcc-59b11acd1b66"]
}, Open  ]]
}, Open  ]],
Cell[CellGroupData[{
Cell[377832, 6485, 106, 1, 54, "Subsection",ExpressionUUID->"ff118691-f5fb-40a2-a990-a79a74b16265"],
Cell[CellGroupData[{
Cell[377963, 6490, 942, 25, 48, "Input",ExpressionUUID->"26cca83f-2eb1-412a-ab06-9afe01468d7c"],
Cell[378908, 6517, 2734, 55, 339, "Output",ExpressionUUID->"dd5030cf-50b3-4de5-84a6-c2c2906b2e04"]
}, Open  ]],
Cell[CellGroupData[{
Cell[381679, 6577, 768, 20, 30, "Input",ExpressionUUID->"9e56a4ab-d617-4da2-a779-b4e5af5d48ae"],
Cell[382450, 6599, 93127, 1524, 407, 32011, 523, "CachedBoxData", "BoxData", "Output",ExpressionUUID->"c6329fb7-ce51-4859-ab99-ebc2630a47ae"]
}, Open  ]],
Cell[CellGroupData[{
Cell[475614, 8128, 495, 11, 30, "Input",ExpressionUUID->"91f76aaa-a3f6-4d54-afde-0c6399101571"],
Cell[476112, 8141, 152761, 2492, 315, 67126, 1088, "CachedBoxData", "BoxData", "Output",ExpressionUUID->"3a997c14-7da9-41d6-b945-c5bdbc37b7cf"]
}, Open  ]]
}, Open  ]],
Cell[CellGroupData[{
Cell[628922, 10639, 160, 2, 54, "Subsection",ExpressionUUID->"3b724181-af67-4df2-884b-ba3445840720"],
Cell[CellGroupData[{
Cell[629107, 10645, 880, 24, 43, "Input",ExpressionUUID->"dd070325-8a97-4013-b11c-c6448ec28320"],
Cell[629990, 10671, 2701, 54, 444, "Output",ExpressionUUID->"c0d6bcb6-a588-4c0a-a18f-4acc403b2515"]
}, Open  ]],
Cell[CellGroupData[{
Cell[632728, 10730, 770, 20, 30, "Input",ExpressionUUID->"3f55ece4-c298-42ad-8930-71cb616510df"],
Cell[633501, 10752, 32373, 527, 449, "Output",ExpressionUUID->"73361e53-6966-43d2-9d30-c3f6b0ed87c7"]
}, Open  ]],
Cell[CellGroupData[{
Cell[665911, 11284, 222, 5, 30, "Input",ExpressionUUID->"4f8dc149-9d10-4956-8e05-62d2eceabccb"],
Cell[666136, 11291, 193024, 3143, 424, 74789, 1206, "CachedBoxData", "BoxData", "Output",ExpressionUUID->"752c27be-992c-483f-ba3a-5143feaadee0"]
}, Open  ]]
}, Open  ]]
}, Open  ]],
Cell[CellGroupData[{
Cell[859221, 14441, 99, 1, 67, "Section",ExpressionUUID->"fd07927c-265f-49a4-9342-2abd4c8e2987"],
Cell[859323, 14444, 198, 2, 35, "Text",ExpressionUUID->"f86e1601-5d5c-4c4e-9b43-1e50b08d8cf5"],
Cell[CellGroupData[{
Cell[859546, 14450, 103, 1, 54, "Subsection",ExpressionUUID->"a1502e12-47d9-4128-b3ea-310466f4483a"],
Cell[859652, 14453, 249, 4, 35, "Text",ExpressionUUID->"6d9eba16-faeb-45b2-b4c0-74e38db0a2e1"],
Cell[CellGroupData[{
Cell[859926, 14461, 901, 25, 30, "Input",ExpressionUUID->"b98c562a-31ba-4027-93d9-7d8a5a2e2b3a"],
Cell[860830, 14488, 2850, 56, 449, "Output",ExpressionUUID->"8410e648-3deb-4c00-ab02-ae819de3781d"]
}, Open  ]],
Cell[CellGroupData[{
Cell[863717, 14549, 814, 22, 30, "Input",ExpressionUUID->"d40fcfbc-3052-4c2b-bdc0-347d783f3cf7"],
Cell[864534, 14573, 31807, 520, 431, "Output",ExpressionUUID->"0def2bf0-d3dc-4655-9345-d31b82c9c69b"]
}, Open  ]],
Cell[CellGroupData[{
Cell[896378, 15098, 211, 5, 30, "Input",ExpressionUUID->"a89ccbe8-4136-4c07-bedd-43ab18685028"],
Cell[896592, 15105, 33508, 548, 449, "Output",ExpressionUUID->"19e4b5a1-6826-427d-88f5-697d4144c58f"]
}, Open  ]]
}, Open  ]],
Cell[CellGroupData[{
Cell[930149, 15659, 101, 1, 54, "Subsection",ExpressionUUID->"c440c7a9-4e88-4e6a-b178-d02e875d2783"],
Cell[930253, 15662, 345, 12, 43, "Text",ExpressionUUID->"a5441c83-254b-4718-9379-87a0a8c5aa00"],
Cell[CellGroupData[{
Cell[930623, 15678, 903, 25, 30, "Input",ExpressionUUID->"014b4af2-b9ea-4303-ba4c-d02eb2d7d6e5"],
Cell[931529, 15705, 2823, 56, 449, "Output",ExpressionUUID->"8c630cc3-af17-4d4a-9121-2a74ff70bae9"]
}, Open  ]],
Cell[934367, 15764, 798, 22, 30, "Input",ExpressionUUID->"f235853b-38d4-4d8a-b941-47197632204a"],
Cell[CellGroupData[{
Cell[935190, 15790, 211, 5, 30, "Input",ExpressionUUID->"62c087a4-f674-4a71-ad96-dfd9139b2989"],
Cell[935404, 15797, 33708, 552, 449, "Output",ExpressionUUID->"cae7ed9c-974c-4b81-b5b1-8b2cc6b47d51"]
}, Open  ]]
}, Open  ]],
Cell[CellGroupData[{
Cell[969161, 16355, 101, 1, 54, "Subsection",ExpressionUUID->"0a814496-fac5-48a6-9d45-d22826b3fbd7"],
Cell[969265, 16358, 190, 4, 35, "Text",ExpressionUUID->"d9155359-21db-41bc-b662-c89e8e8c2f17"],
Cell[CellGroupData[{
Cell[969480, 16366, 592, 15, 30, "Input",ExpressionUUID->"c26d3fa8-39e0-49a5-afff-567441e54a32"],
Cell[970075, 16383, 1090, 18, 441, "Output",ExpressionUUID->"5d1430c9-cf37-4bbb-97bf-a75aabed069c"]
}, Open  ]],
Cell[CellGroupData[{
Cell[971202, 16406, 698, 21, 30, "Input",ExpressionUUID->"7636e70f-6a4e-4f46-93b8-b512237969cd"],
Cell[971903, 16429, 905, 15, 413, "Output",ExpressionUUID->"72a308a3-9e14-4c54-9502-a9088c63175c"]
}, Open  ]],
Cell[CellGroupData[{
Cell[972845, 16449, 986, 27, 30, "Input",ExpressionUUID->"d7c393e2-ebee-4287-9b3f-76f26693f842"],
Cell[973834, 16478, 3649, 70, 444, "Output",ExpressionUUID->"3bf7ea23-75f3-4afd-b8ef-e5d5f9a5f0fc"]
}, Open  ]],
Cell[CellGroupData[{
Cell[977520, 16553, 326, 7, 30, "Input",ExpressionUUID->"976f8009-4faf-4b31-8a0b-917a6e189a2b"],
Cell[977849, 16562, 3889, 73, 586, "Output",ExpressionUUID->"97c808cf-bc34-42a1-92c7-58e7efae6a50"]
}, Open  ]],
Cell[981753, 16638, 493, 10, 30, "Input",ExpressionUUID->"f6168852-f861-4a8e-a087-f4edf27f4e55"]
}, Open  ]]
}, Open  ]],
Cell[CellGroupData[{
Cell[982295, 16654, 97, 1, 67, "Section",ExpressionUUID->"64f1e59d-6670-4ed0-a3f2-b01530a998d1"],
Cell[CellGroupData[{
Cell[982417, 16659, 105, 1, 45, "Subsubsection",ExpressionUUID->"a9271f23-ba7a-48f9-a6d1-47229571e80b"],
Cell[982525, 16662, 925, 24, 58, "Text",ExpressionUUID->"d3caa64e-13ae-4f37-ab0b-e088fa73a286"]
}, Open  ]],
Cell[CellGroupData[{
Cell[983487, 16691, 107, 1, 54, "Subsection",ExpressionUUID->"8d2f0bbd-f1c5-4b4f-b433-2c097e8228d0"],
Cell[CellGroupData[{
Cell[983619, 16696, 134, 1, 45, "Subsubsection",ExpressionUUID->"b49b6fe6-b6f6-49bc-b686-dc36fca74070"],
Cell[CellGroupData[{
Cell[983778, 16701, 1109, 27, 33, "Input",ExpressionUUID->"7aa40e4f-f6c1-48f2-a6ed-4b430e3b7da5"],
Cell[984890, 16730, 11328, 199, 491, "Output",ExpressionUUID->"89223eaf-4522-4724-a58e-ff41e6435822"]
}, Open  ]]
}, Open  ]],
Cell[CellGroupData[{
Cell[996267, 16935, 123, 1, 45, "Subsubsection",ExpressionUUID->"c2df347e-410c-4b02-b6e1-6234c75d6523"],
Cell[CellGroupData[{
Cell[996415, 16940, 1739, 39, 56, "Input",ExpressionUUID->"85b34745-e8f7-435e-95ef-b23950f823a2"],
Cell[998157, 16981, 30074, 510, 366, "Output",ExpressionUUID->"d5675f38-8505-4a22-ae2c-7d36fc2d7ca3"]
}, Open  ]]
}, Open  ]],
Cell[CellGroupData[{
Cell[1028280, 17497, 141, 1, 45, "Subsubsection",ExpressionUUID->"0cc1947e-b18c-44e7-801c-8ea6c71cc854"],
Cell[CellGroupData[{
Cell[1028446, 17502, 985, 27, 68, "Input",ExpressionUUID->"675fc015-9172-4e25-afd4-e2e2cb5d8d25"],
Cell[1029434, 17531, 6715, 118, 348, "Output",ExpressionUUID->"17624def-a6c7-4d55-9ce9-727ec9a46203"]
}, Open  ]]
}, Open  ]],
Cell[CellGroupData[{
Cell[1036198, 17655, 122, 1, 45, "Subsubsection",ExpressionUUID->"561bd974-4c19-4aa5-883c-e55034605366"],
Cell[CellGroupData[{
Cell[1036345, 17660, 840, 22, 33, "Input",ExpressionUUID->"452ea12e-5b35-41ec-b4e6-f4e3997545c5"],
Cell[1037188, 17684, 162981, 2693, 432, 44388, 750, "CachedBoxData", "BoxData", "Output",ExpressionUUID->"1895328a-c8d0-48a7-b534-9134196e866e"]
}, Open  ]],
Cell[1200184, 20380, 226, 5, 30, "Input",ExpressionUUID->"326d94cf-b875-44b3-8162-6e932fa767c2"]
}, Open  ]]
}, Open  ]]
}, Open  ]],
Cell[CellGroupData[{
Cell[1200471, 20392, 97, 1, 67, "Section",ExpressionUUID->"d478d50c-d19f-46fe-a64d-e06224a7549a"],
Cell[CellGroupData[{
Cell[1200593, 20397, 102, 1, 54, "Subsection",ExpressionUUID->"e47e08ac-6c01-4630-a916-751374d25af9"],
Cell[1200698, 20400, 224, 4, 35, "Text",ExpressionUUID->"6ea1f33e-82b7-42ec-9ab9-2cadd86b84f0"],
Cell[CellGroupData[{
Cell[1200947, 20408, 1307, 31, 52, "Input",ExpressionUUID->"c7f6ec1d-1166-481b-9cd4-8f7f25be2c97"],
Cell[1202257, 20441, 70024, 1142, 407, "Output",ExpressionUUID->"b160b528-5f44-4011-9f67-07955eebccc5"]
}, Open  ]],
Cell[CellGroupData[{
Cell[1272318, 21588, 1101, 29, 30, "Input",ExpressionUUID->"c08afc56-078e-417b-adaf-5094c8bfbcd2"],
Cell[1273422, 21619, 3771, 72, 449, "Output",ExpressionUUID->"6a6aad4f-4ba8-4f6e-87b4-ca8782d7e95e"]
}, Open  ]],
Cell[CellGroupData[{
Cell[1277230, 21696, 347, 8, 30, "Input",ExpressionUUID->"c8b6cb9b-dec2-4878-b8a7-eabbdda909cc"],
Cell[1277580, 21706, 73165, 1194, 437, "Output",ExpressionUUID->"eeac8b6a-9c02-4128-8b02-cc0f89576011"]
}, Open  ]],
Cell[1350760, 22903, 212, 5, 30, "Input",ExpressionUUID->"966f41e6-ea5d-4bbb-b5d1-395737a0ee1b"]
}, Open  ]]
}, Open  ]],
Cell[CellGroupData[{
Cell[1351021, 22914, 101, 1, 67, "Section",ExpressionUUID->"aaa432ef-2348-4845-abc0-25505346bd47"],
Cell[1351125, 22917, 205, 3, 35, "Text",ExpressionUUID->"c718f74a-a2b6-4d5b-827e-3a3568b6e229"],
Cell[1351333, 22922, 442, 14, 33, "Input",ExpressionUUID->"acb91a04-98c8-4a70-9270-a163407f889b"]
}, Open  ]],
Cell[CellGroupData[{
Cell[1351812, 22941, 157, 3, 67, "Section",ExpressionUUID->"8b95f7f4-66ed-4320-b586-a9fe9442e02c"],
Cell[CellGroupData[{
Cell[1351994, 22948, 158, 3, 54, "Subsection",ExpressionUUID->"77a7ad78-5275-41f6-be98-7b8ff8eb8c29"],
Cell[1352155, 22953, 368, 10, 33, "Input",ExpressionUUID->"b3337a6e-2517-44b0-93f4-0a03ba28a164"],
Cell[CellGroupData[{
Cell[1352548, 22967, 181, 4, 30, "Input",ExpressionUUID->"209230e5-bd7d-4a5c-a5a3-d09c378427fe"],
Cell[1352732, 22973, 540, 11, 37, "Output",ExpressionUUID->"948b84da-969c-4978-9107-4f09e53bb040"]
}, Open  ]],
Cell[CellGroupData[{
Cell[1353309, 22989, 234, 6, 30, "Input",ExpressionUUID->"7ad6e567-6355-4023-b89b-8da905005c57"],
Cell[1353546, 22997, 561, 12, 37, "Output",ExpressionUUID->"945c5655-14b5-4128-a502-c21b84fe6880"]
}, Open  ]]
}, Open  ]],
Cell[CellGroupData[{
Cell[1354156, 23015, 209, 4, 54, "Subsection",ExpressionUUID->"80fab07b-52dd-4b76-9624-5025a2e7de2d"],
Cell[1354368, 23021, 369, 10, 30, "Input",ExpressionUUID->"d2d7316c-3acd-4904-bc1c-fa7bee11aa05"],
Cell[CellGroupData[{
Cell[1354762, 23035, 181, 4, 30, "Input",ExpressionUUID->"b8245e4b-a967-464f-82eb-481065052bbd"],
Cell[1354946, 23041, 553, 11, 34, "Output",ExpressionUUID->"e17e3ed5-42c8-482f-bac8-1dc3adb3a009"]
}, Open  ]],
Cell[CellGroupData[{
Cell[1355536, 23057, 234, 6, 30, "Input",ExpressionUUID->"b04a6822-13c4-4e9c-9b0e-30c9e66c4022"],
Cell[1355773, 23065, 571, 12, 34, "Output",ExpressionUUID->"dc4e96ec-a703-4ba1-9e2a-bcc1a0fbc104"]
}, Open  ]],
Cell[CellGroupData[{
Cell[1356381, 23082, 195, 3, 45, "Subsubsection",ExpressionUUID->"b271ed40-d68d-4606-b137-d09b04b6af69"],
Cell[CellGroupData[{
Cell[1356601, 23089, 323, 9, 30, "Input",ExpressionUUID->"54ad52a6-c111-437d-b748-85634af46550"],
Cell[1356927, 23100, 392, 6, 34, "Output",ExpressionUUID->"351911ab-ceb0-4edf-9057-46308da88390"]
}, Open  ]]
}, Open  ]]
}, Open  ]],
Cell[CellGroupData[{
Cell[1357380, 23113, 209, 4, 54, "Subsection",ExpressionUUID->"5f4fa47d-7c29-4e01-a16d-7bd3153e1072"],
Cell[1357592, 23119, 426, 12, 30, "Input",ExpressionUUID->"aa32a1b0-20fa-4b29-bf1d-3a236e3c7dee"],
Cell[CellGroupData[{
Cell[1358043, 23135, 181, 4, 30, "Input",ExpressionUUID->"6765f037-edb7-4271-9e86-1d0f00ef2b8c"],
Cell[1358227, 23141, 586, 13, 34, "Output",ExpressionUUID->"b121bbca-9be3-4a1f-9c36-3e7cd169e77f"]
}, Open  ]],
Cell[1358828, 23157, 158, 3, 35, "Text",ExpressionUUID->"119e61c0-a995-4683-891f-a8b63b08de87"],
Cell[CellGroupData[{
Cell[1359011, 23164, 236, 6, 30, "Input",ExpressionUUID->"510e5267-f7ce-4d55-acc9-b9600be3c6d5"],
Cell[1359250, 23172, 413, 7, 51, "Output",ExpressionUUID->"db08a7b1-2b73-4108-ab56-7c452336ef7c"]
}, Open  ]],
Cell[CellGroupData[{
Cell[1359700, 23184, 234, 6, 30, "Input",ExpressionUUID->"ba79ada6-d1c6-43b3-93e5-8501c8f58f78"],
Cell[1359937, 23192, 606, 14, 51, "Output",ExpressionUUID->"bf09b1b3-0cb9-47e7-9dac-d219b00f0b64"]
}, Open  ]]
}, Open  ]],
Cell[CellGroupData[{
Cell[1360592, 23212, 211, 4, 54, "Subsection",ExpressionUUID->"25643f41-a60b-4971-81f4-7fe6f91b5794"],
Cell[1360806, 23218, 413, 12, 30, "Input",ExpressionUUID->"4b973519-24a9-499a-89cc-ef18ea37c90f"],
Cell[CellGroupData[{
Cell[1361244, 23234, 181, 4, 30, "Input",ExpressionUUID->"c5aa64be-24a8-4f2a-b1b0-00ea73193c37"],
Cell[1361428, 23240, 601, 13, 34, "Output",ExpressionUUID->"2ab200bf-c3d1-4353-ade8-dd302e9e3445"]
}, Open  ]],
Cell[CellGroupData[{
Cell[1362066, 23258, 234, 6, 30, "Input",ExpressionUUID->"87115cb4-80f6-4aa4-90b3-82be61503fb2"],
Cell[1362303, 23266, 669, 16, 34, "Output",ExpressionUUID->"01d44c57-29bd-405c-9ce8-60761d3c8feb"]
}, Open  ]],
Cell[CellGroupData[{
Cell[1363009, 23287, 195, 3, 45, "Subsubsection",ExpressionUUID->"89b65338-0463-4433-9b91-14a6aca698cd"],
Cell[CellGroupData[{
Cell[1363229, 23294, 323, 9, 30, "Input",ExpressionUUID->"59bb3b42-c531-4042-b554-8fa50fadd301"],
Cell[1363555, 23305, 422, 7, 34, "Output",ExpressionUUID->"acae834c-605b-4d24-8c31-be4aeaa53731"]
}, Open  ]],
Cell[1363992, 23315, 189, 4, 30, "Input",ExpressionUUID->"3dc03b79-2c4a-42ee-aa3b-d33f3f902538"]
}, Open  ]]
}, Open  ]]
}, Open  ]],
Cell[CellGroupData[{
Cell[1364242, 23326, 157, 3, 67, "Section",ExpressionUUID->"4a5fe905-0dc5-4b22-bf71-dc425daf4d8f"],
Cell[1364402, 23331, 439, 12, 39, "Text",ExpressionUUID->"3ec85219-0cdc-4692-83d6-1f3c6b626f7b"],
Cell[1364844, 23345, 388, 12, 30, "Input",ExpressionUUID->"4185a0c4-27f9-4179-bf7c-a56d3fe2d6ef"],
Cell[1365235, 23359, 1218, 32, 30, "Input",ExpressionUUID->"3c615b3a-db70-40d9-b249-242bdbd33d10"],
Cell[1366456, 23393, 494, 14, 44, "Input",ExpressionUUID->"7030afcd-0baa-4417-b520-58d5a1c91caf"],
Cell[CellGroupData[{
Cell[1366975, 23411, 210, 5, 30, "Input",ExpressionUUID->"ed90a0f8-452d-454d-98b9-59de74b3c74c"],
Cell[1367188, 23418, 5208, 97, 450, "Output",ExpressionUUID->"c4d6bdbd-cbeb-4a78-8878-2766e7413104"]
}, Open  ]],
Cell[1372411, 23518, 472, 13, 39, "Text",ExpressionUUID->"6dd88fc6-68c1-44fe-a2b4-174cd407f996"],
Cell[CellGroupData[{
Cell[1372908, 23535, 154, 4, 44, "Input",ExpressionUUID->"aea7135f-df0f-49b9-8f4d-b5ece828d251"],
Cell[1373065, 23541, 464, 11, 39, "Output",ExpressionUUID->"2f3ef82c-9196-4343-a340-bb084cb946d4"]
}, Open  ]],
Cell[1373544, 23555, 154, 3, 35, "Text",ExpressionUUID->"f08e906f-e206-4c75-98ca-52c816e29ed5"],
Cell[CellGroupData[{
Cell[1373723, 23562, 460, 12, 45, "Input",ExpressionUUID->"6239dae2-5f33-4ac7-ad57-c1b9716f3f2d"],
Cell[1374186, 23576, 684, 17, 54, "Output",ExpressionUUID->"c9e45135-8d49-4071-b0bf-011c0fc1024f"]
}, Open  ]],
Cell[CellGroupData[{
Cell[1374907, 23598, 182, 3, 45, "Subsubsection",ExpressionUUID->"72fdb026-8307-416d-a021-e0bec50adaf5"],
Cell[1375092, 23603, 271, 6, 35, "Text",ExpressionUUID->"532dbcc6-a217-44f1-8613-f2c618aadd38"],
Cell[1375366, 23611, 155, 3, 35, "Text",ExpressionUUID->"943c8e1e-1917-4183-91f7-bf8fb0366338"],
Cell[CellGroupData[{
Cell[1375546, 23618, 229, 6, 44, "Input",ExpressionUUID->"ddfdf422-b6eb-4124-adca-5c658db087c2"],
Cell[1375778, 23626, 450, 10, 39, "Output",ExpressionUUID->"89965ecc-3997-4759-b0c2-6658080807ba"]
}, Open  ]],
Cell[1376243, 23639, 158, 3, 35, "Text",ExpressionUUID->"9c65d8c8-9880-49c8-91b2-7a4b6db39703"],
Cell[CellGroupData[{
Cell[1376426, 23646, 543, 17, 45, "Input",ExpressionUUID->"46629167-e862-403a-b79b-f2ddefea202a"],
Cell[1376972, 23665, 688, 20, 60, "Output",ExpressionUUID->"ddfd8201-aeaa-4ee3-8303-2c4dd0cbbc66"]
}, Open  ]],
Cell[1377675, 23688, 171, 3, 35, "Text",ExpressionUUID->"7f444c66-b595-4d63-ad64-3d89d8360791"],
Cell[1377849, 23693, 409, 12, 30, "Input",ExpressionUUID->"03e2b0ad-dcdc-4143-ad26-c530cb6699ed"],
Cell[1378261, 23707, 170, 3, 35, "Text",ExpressionUUID->"f7ba00d7-ac93-4005-9fab-694b681d5208"],
Cell[CellGroupData[{
Cell[1378456, 23714, 219, 5, 30, "Input",ExpressionUUID->"3d5060a9-e369-4cdd-bebc-368fa8de920e"],
Cell[1378678, 23721, 5538, 104, 468, "Output",ExpressionUUID->"f5d65b18-357f-43c7-81c5-99a92c0ab5b1"]
}, Open  ]],
Cell[1384231, 23828, 260, 6, 30, "Input",ExpressionUUID->"65a7220f-dd00-40a0-864c-ae47120abce2"]
}, Open  ]]
}, Open  ]],
Cell[CellGroupData[{
Cell[1384540, 23840, 157, 3, 67, "Section",ExpressionUUID->"a76d4105-6b6c-4358-9cab-d0387abea0cd"],
Cell[CellGroupData[{
Cell[1384722, 23847, 160, 3, 45, "Subsubsection",ExpressionUUID->"a4598fc1-a981-4845-b01b-a3f73593b36f"],
Cell[1384885, 23852, 252, 6, 35, "Text",ExpressionUUID->"3644f2af-ac87-4a59-a3be-929c5c561253"]
}, Open  ]],
Cell[CellGroupData[{
Cell[1385174, 23863, 161, 3, 45, "Subsubsection",ExpressionUUID->"4dd8c6bd-2a43-4bcb-ae4b-af844c0d9dc1"],
Cell[1385338, 23868, 276, 6, 35, "Text",ExpressionUUID->"a18e6970-63d8-4461-8c77-ff2f5abdc7a9"]
}, Open  ]],
Cell[CellGroupData[{
Cell[1385651, 23879, 499, 17, 46, "Subsubsection",ExpressionUUID->"5037b1fd-a7b9-4337-8d55-be73f8f9a4a7"],
Cell[1386153, 23898, 203, 3, 35, "Text",ExpressionUUID->"3a463bf4-9f00-41eb-be66-1604b8b86dd2"],
Cell[1386359, 23903, 370, 11, 33, "Input",ExpressionUUID->"57b2887b-e3df-4d2d-bb03-8d4bf3911c1f"],
Cell[1386732, 23916, 152, 3, 35, "Text",ExpressionUUID->"b935dc11-f6df-4f54-9747-6053948aedbe"],
Cell[1386887, 23921, 252, 7, 30, "Input",ExpressionUUID->"e8676925-66ff-4f6f-8658-d1cec1ffc0e9"],
Cell[1387142, 23930, 164, 3, 35, "Text",ExpressionUUID->"46308660-684b-48b4-bf3e-06e03fbfcf6e"],
Cell[1387309, 23935, 278, 7, 30, "Input",ExpressionUUID->"2a36bccf-d145-4b52-b9db-c609d10f640c"],
Cell[1387590, 23944, 164, 3, 35, "Text",ExpressionUUID->"7ee77b83-86d4-4046-b1be-89b0a494b862"],
Cell[CellGroupData[{
Cell[1387779, 23951, 184, 4, 30, "Input",ExpressionUUID->"b225b011-0cdd-4545-916b-acb83e3acd93"],
Cell[1387966, 23957, 507, 12, 37, "Output",ExpressionUUID->"8e5ea51b-40ba-4d66-9924-46fcd36efc05"]
}, Open  ]],
Cell[CellGroupData[{
Cell[1388510, 23974, 180, 4, 30, "Input",ExpressionUUID->"fbd2a000-e5eb-4912-bd67-2fc6d3543916"],
Cell[1388693, 23980, 468, 11, 51, "Output",ExpressionUUID->"817f28db-6158-44c6-a288-5016e1d36477"]
}, Open  ]],
Cell[CellGroupData[{
Cell[1389198, 23996, 182, 4, 30, "Input",ExpressionUUID->"73fe120c-0e9b-4c43-9913-eb486b149be1"],
Cell[1389383, 24002, 486, 12, 52, "Output",ExpressionUUID->"aee101b5-1b82-4053-978e-4bb991d24efa"]
}, Open  ]],
Cell[CellGroupData[{
Cell[1389906, 24019, 479, 14, 30, "Input",ExpressionUUID->"895ff25d-8539-416e-9005-82392cce0bc3"],
Cell[1390388, 24035, 1352, 32, 34, "Output",ExpressionUUID->"ae035abb-8968-4f99-b169-c4e3802bdd00"]
}, Open  ]],
Cell[CellGroupData[{
Cell[1391777, 24072, 268, 7, 30, "Input",ExpressionUUID->"c971be76-b89d-4178-8b6a-b41d8a954f11"],
Cell[1392048, 24081, 384, 6, 34, "Output",ExpressionUUID->"825494ab-b4b1-4945-b972-5342848bbb46"]
}, Open  ]],
Cell[1392447, 24090, 264, 6, 35, "Text",ExpressionUUID->"0e97abd2-5b71-4b99-9639-f163c58f5f02"],
Cell[1392714, 24098, 296, 6, 35, "Text",ExpressionUUID->"42c012e3-ba54-40f5-93d0-7f66d2ece33b"],
Cell[1393013, 24106, 778, 22, 49, "Input",ExpressionUUID->"45e4d8c4-5a66-43c4-a49f-6d7898c39e3e"],
Cell[CellGroupData[{
Cell[1393816, 24132, 189, 4, 30, "Input",ExpressionUUID->"707ce2b0-8c7c-46e2-8b18-9004645b9063"],
Cell[1394008, 24138, 857, 24, 66, "Output",ExpressionUUID->"3d85876b-c183-4d8d-bc65-5de7912bb0a6"]
}, Open  ]],
Cell[1394880, 24165, 165, 3, 35, "Text",ExpressionUUID->"25860c0b-7d2f-4016-9698-c8fb0ff5ef13"],
Cell[CellGroupData[{
Cell[1395070, 24172, 164, 4, 30, "Input",ExpressionUUID->"f13e1d57-e083-4040-8f9d-8bc2171e3c58"],
Cell[1395237, 24178, 366, 6, 34, "Output",ExpressionUUID->"9567ec5d-04ae-4192-82a0-054af203b9f8"]
}, Open  ]],
Cell[CellGroupData[{
Cell[1395640, 24189, 205, 5, 44, "Input",ExpressionUUID->"b7ddbe33-f892-4d86-856a-85b96371e37c"],
Cell[1395848, 24196, 385, 6, 34, "Output",ExpressionUUID->"63e04b5e-9db2-43c6-883c-455a071ee1cd"]
}, Open  ]],
Cell[CellGroupData[{
Cell[1396270, 24207, 281, 7, 30, "Input",ExpressionUUID->"f093ed2c-6ada-49ed-a84f-02f48fadbd19"],
Cell[1396554, 24216, 375, 6, 34, "Output",ExpressionUUID->"76998d33-65ca-4363-8d3a-e94ab72a7a97"]
}, Open  ]],
Cell[1396944, 24225, 262, 6, 30, "Input",ExpressionUUID->"35adc95f-9a21-47d4-9215-bf75ed13bfc7"]
}, Open  ]],
Cell[CellGroupData[{
Cell[1397243, 24236, 513, 16, 45, "Subsubsection",ExpressionUUID->"e3b77daf-c5c6-4725-9930-046996754c16"],
Cell[1397759, 24254, 203, 3, 35, "Text",ExpressionUUID->"5b669ecc-a547-4bce-899e-9eafecbb9ced"],
Cell[1397965, 24259, 381, 10, 30, "Input",ExpressionUUID->"d2579b52-7662-46e9-b8fd-b6a1e13899e7"],
Cell[1398349, 24271, 152, 3, 35, "Text",ExpressionUUID->"82cc9613-8c23-410a-a6bc-973fc02a7375"],
Cell[1398504, 24276, 252, 7, 30, "Input",ExpressionUUID->"f5554887-e687-4077-9f86-2cb98a7e496e"],
Cell[1398759, 24285, 164, 3, 35, "Text",ExpressionUUID->"ba6f2894-aff6-49c0-9525-5e90dde19b5b"],
Cell[1398926, 24290, 278, 7, 30, "Input",ExpressionUUID->"bd0ca4ea-2e67-4df1-8028-69e532bc4da8"],
Cell[1399207, 24299, 164, 3, 35, "Text",ExpressionUUID->"99876dfe-06ee-4ff5-856a-7e29edf4d2fe"],
Cell[CellGroupData[{
Cell[1399396, 24306, 184, 4, 30, "Input",ExpressionUUID->"ee7a96bc-ee36-4f30-80a7-fac42fca0dff"],
Cell[1399583, 24312, 482, 10, 34, "Output",ExpressionUUID->"3a49c7a0-29a2-4acc-8d91-511b6c7a7e0f"]
}, Open  ]],
Cell[CellGroupData[{
Cell[1400102, 24327, 180, 4, 30, "Input",ExpressionUUID->"69c6f347-6feb-48bb-8bd6-eeeeb4e788d5"],
Cell[1400285, 24333, 506, 11, 34, "Output",ExpressionUUID->"37bddde3-29bb-42e5-b0b3-7ff687fc409e"]
}, Open  ]],
Cell[CellGroupData[{
Cell[1400828, 24349, 182, 4, 30, "Input",ExpressionUUID->"7ac0b180-bc35-40f4-bfb0-a4300c7f668f"],
Cell[1401013, 24355, 525, 12, 34, "Output",ExpressionUUID->"848dbf48-a031-40cc-8ea3-253d2d726443"]
}, Open  ]],
Cell[CellGroupData[{
Cell[1401575, 24372, 194, 5, 30, "Input",ExpressionUUID->"3d4ee44f-6cc0-4a85-903a-4be3aa1d94b5"],
Cell[1401772, 24379, 338, 6, 34, "Output",ExpressionUUID->"fdeb30bd-9cc3-4b94-830f-1f35ae3388bf"]
}, Open  ]],
Cell[1402125, 24388, 363, 7, 35, "Text",ExpressionUUID->"045d21c2-a321-4ce9-b74b-7807742aa6ac"],
Cell[1402491, 24397, 780, 22, 49, "Input",ExpressionUUID->"a1bfe5d2-3079-4209-9fed-51268a4d996c"],
Cell[CellGroupData[{
Cell[1403296, 24423, 189, 4, 30, "Input",ExpressionUUID->"c57ddf63-4423-43bc-8c01-2257d4ba17cd"],
Cell[1403488, 24429, 417, 7, 47, "Output",ExpressionUUID->"987f7794-fda5-4013-b931-8c45dae68963"]
}, Open  ]],
Cell[1403920, 24439, 262, 6, 30, "Input",ExpressionUUID->"d6c36865-0c88-42b0-9f14-7f037b0ec5b3"]
}, Open  ]]
}, Open  ]],
Cell[CellGroupData[{
Cell[1404231, 24451, 159, 3, 67, "Section",ExpressionUUID->"85393a78-f07c-409f-98aa-ace48c7012a8"],
Cell[1404393, 24456, 195, 3, 35, "Text",ExpressionUUID->"4cd3100d-4987-4788-9eae-a62fc5a7a188"],
Cell[CellGroupData[{
Cell[1404613, 24463, 165, 3, 45, "Subsubsection",ExpressionUUID->"328e6d42-d7a5-4c36-a73e-89ac54be92ea"],
Cell[1404781, 24468, 368, 11, 30, "Input",ExpressionUUID->"4427be52-5f3e-48dc-8a7e-3b53f0f3e4d2"],
Cell[1405152, 24481, 197, 3, 35, "Text",ExpressionUUID->"c8f2361b-6269-4cee-b8ea-57eaf1397f08"],
Cell[CellGroupData[{
Cell[1405374, 24488, 582, 15, 48, "Input",ExpressionUUID->"5ffe2a35-0efa-462f-8409-0644728d056f"],
Cell[1405959, 24505, 413, 6, 34, "Output",ExpressionUUID->"81fb3ebe-8e9d-41a7-b0dc-a20338de5a0e"]
}, Open  ]],
Cell[1406387, 24514, 215, 5, 30, "Input",ExpressionUUID->"7c38f846-b2c2-4dac-a702-8b8144d9d5f5"]
}, Open  ]],
Cell[CellGroupData[{
Cell[1406639, 24524, 214, 4, 45, "Subsubsection",ExpressionUUID->"3cee57c4-c42d-43e8-827c-3d8b6b3ae800"],
Cell[1406856, 24530, 421, 12, 30, "Input",ExpressionUUID->"9f146e64-b723-4563-aeaa-88a725eeb989"],
Cell[1407280, 24544, 197, 3, 35, "Text",ExpressionUUID->"46bd00bc-1445-404c-bc65-ac286be07fb5"],
Cell[CellGroupData[{
Cell[1407502, 24551, 629, 16, 45, "Input",ExpressionUUID->"a71e1928-3a27-42c6-b191-2e989828e7ca"],
Cell[1408134, 24569, 427, 7, 34, "Output",ExpressionUUID->"cbc5b993-5d03-42cd-bbbf-bd35a07c3316"]
}, Open  ]],
Cell[1408576, 24579, 142, 3, 30, "Input",ExpressionUUID->"861a29e6-e6c6-4118-8c08-d3e85209007b"]
}, Open  ]]
}, Open  ]],
Cell[CellGroupData[{
Cell[1408767, 24588, 159, 3, 67, "Section",ExpressionUUID->"58cc7a31-9700-40a2-b142-f412415c95c6"],
Cell[1408929, 24593, 502, 15, 30, "Input",ExpressionUUID->"58d11add-0950-40eb-a3f1-5701c5126f8d"],
Cell[CellGroupData[{
Cell[1409456, 24612, 157, 3, 54, "Subsection",ExpressionUUID->"611deba7-4080-45fe-9a8b-b26d7f44d1cc"],
Cell[1409616, 24617, 231, 8, 35, "Text",ExpressionUUID->"48f7a3c3-cc93-4b8a-ae81-b2f86dccf416"],
Cell[1409850, 24627, 672, 18, 50, "Input",ExpressionUUID->"d0369c31-ceaf-40bd-8a3a-edfa1ae5a1e2"],
Cell[CellGroupData[{
Cell[1410547, 24649, 183, 4, 30, "Input",ExpressionUUID->"31dae489-d6e1-4db1-a68b-571317fe4bea"],
Cell[1410733, 24655, 676, 16, 53, "Output",ExpressionUUID->"8de1c509-e80e-490d-abf0-4a19eba85648"]
}, Open  ]],
Cell[1411424, 24674, 267, 9, 35, "Text",ExpressionUUID->"a1d0b536-f0b1-4acc-a44e-274ea95f17e5"],
Cell[1411694, 24685, 614, 18, 49, "Input",ExpressionUUID->"dabef883-57dd-4444-9614-12cd36fc1ed4"],
Cell[CellGroupData[{
Cell[1412333, 24707, 275, 4, 30, "Input",ExpressionUUID->"53748321-5b4c-4f4b-90b5-44c3ca053870"],
Cell[1412611, 24713, 1490, 42, 64, "Output",ExpressionUUID->"4ba1b6ff-ee05-416c-b5f9-c11da4c430e8"]
}, Open  ]],
Cell[1414116, 24758, 216, 8, 35, "Text",ExpressionUUID->"5d0d42c1-bfb6-4bae-951e-7b963607f54e"],
Cell[1414335, 24768, 600, 16, 30, "Input",ExpressionUUID->"8d7d655d-58ca-421e-a940-eae4369b585d"],
Cell[CellGroupData[{
Cell[1414960, 24788, 233, 5, 30, "Input",ExpressionUUID->"f11672c9-73b7-419c-a086-8c06934626f4"],
Cell[1415196, 24795, 3489, 102, 116, "Output",ExpressionUUID->"de748bc6-7845-47e7-92a8-0f365e67c7fb"]
}, Open  ]],
Cell[1418700, 24900, 238, 8, 35, "Text",ExpressionUUID->"21abc640-18e7-4b7f-8005-9bf107cef11b"],
Cell[1418941, 24910, 484, 13, 30, "Input",ExpressionUUID->"d707de4b-b7cb-4260-83b5-95e82d6442d7"],
Cell[CellGroupData[{
Cell[1419450, 24927, 182, 4, 30, "Input",ExpressionUUID->"5ad1e6aa-5f57-4d53-aa91-126da690b747"],
Cell[1419635, 24933, 1525, 42, 64, "Output",ExpressionUUID->"d9f721c5-a8f8-430b-bd49-998c5bb19561"]
}, Open  ]],
Cell[CellGroupData[{
Cell[1421197, 24980, 210, 5, 30, "Input",ExpressionUUID->"ec79267d-6775-4c47-bba4-0119a2fea2ce"],
Cell[1421410, 24987, 366, 6, 34, "Output",ExpressionUUID->"918dca59-7f70-47ee-853d-4bc1ecd18845"]
}, Open  ]],
Cell[CellGroupData[{
Cell[1421813, 24998, 285, 7, 30, "Input",ExpressionUUID->"c673dece-0aa0-4cca-ad05-82c1d3668dc0"],
Cell[1422101, 25007, 1576, 41, 62, "Output",ExpressionUUID->"4ffb6fa1-a708-4a64-bae3-c3d1f51c7af0"]
}, Open  ]],
Cell[CellGroupData[{
Cell[1423714, 25053, 211, 5, 30, "Input",ExpressionUUID->"c20c957b-d4c0-43a6-aff1-492f34ae8f53"],
Cell[1423928, 25060, 721, 20, 74, "Output",ExpressionUUID->"d16b16f3-08b8-4b7a-904c-79e90fd0d190"]
}, Open  ]],
Cell[1424664, 25083, 241, 5, 30, "Input",ExpressionUUID->"4d529bfc-10ea-41c9-b350-b435abd17faf"]
}, Open  ]]
}, Open  ]],
Cell[CellGroupData[{
Cell[1424954, 25094, 208, 4, 67, "Section",ExpressionUUID->"dce3ff34-a6fd-4e24-8f50-e9dee756ae2f"],
Cell[1425165, 25100, 180, 3, 35, "Text",ExpressionUUID->"95f5ae04-9184-4777-b795-9c4a0ed29181"],
Cell[1425348, 25105, 516, 13, 30, "Input",ExpressionUUID->"ea263454-5660-4532-9ced-3ae6ddf99b06"],
Cell[CellGroupData[{
Cell[1425889, 25122, 160, 3, 54, "Subsection",ExpressionUUID->"5decdf5c-8172-4e98-8e9f-bcd0f3975185"],
Cell[1426052, 25127, 253, 6, 35, "Text",ExpressionUUID->"41f949ad-e888-4d0c-9fd0-d61398db840c"],
Cell[CellGroupData[{
Cell[1426330, 25137, 978, 25, 52, "Input",ExpressionUUID->"a35a9aae-169e-47eb-ba82-1c48f142efdb"],
Cell[1427311, 25164, 7818, 139, 448, "Output",ExpressionUUID->"d5127813-504f-4060-99f1-4e8715907677"]
}, Open  ]],
Cell[CellGroupData[{
Cell[1435166, 25308, 161, 3, 45, "Subsubsection",ExpressionUUID->"6d0205d1-27a3-47c2-b703-4503cfd7ce20"],
Cell[1435330, 25313, 192, 3, 35, "Text",ExpressionUUID->"23dff7fb-8596-4365-9551-71cf7b6f0bdb"],
Cell[CellGroupData[{
Cell[1435547, 25320, 386, 12, 45, "Input",ExpressionUUID->"c640e359-9792-44ed-92e2-83675300922f"],
Cell[1435936, 25334, 331, 5, 34, "Output",ExpressionUUID->"36a7c09d-b99f-4328-bda4-a4cfa582d848"]
}, Open  ]]
}, Open  ]],
Cell[CellGroupData[{
Cell[1436316, 25345, 163, 3, 45, "Subsubsection",ExpressionUUID->"6e48d2c4-7972-4284-bbdf-6cc3b4033ae4"],
Cell[1436482, 25350, 332, 11, 35, "Text",ExpressionUUID->"2580e5e5-d2eb-49f6-adf4-1f755efc099b"],
Cell[1436817, 25363, 806, 20, 30, "Input",ExpressionUUID->"2fb4bd6f-e230-487a-9859-762dc26b28dc"],
Cell[CellGroupData[{
Cell[1437648, 25387, 281, 5, 30, "Input",ExpressionUUID->"93bb828e-3897-4a95-a836-2ce343cf18d6"],
Cell[1437932, 25394, 1996, 59, 114, "Output",ExpressionUUID->"6fd9b4ae-8812-44a4-a787-09f6c591cb4d"]
}, Open  ]],
Cell[1439943, 25456, 216, 4, 35, "Text",ExpressionUUID->"0e9699d0-0c24-453b-a277-3ca7a7c2b509"],
Cell[1440162, 25462, 1036, 25, 49, "Input",ExpressionUUID->"c6922bcc-da4d-4b79-a08d-e5aeba678fdc"],
Cell[CellGroupData[{
Cell[1441223, 25491, 259, 6, 30, "Input",ExpressionUUID->"3aa26eb0-f563-432d-a015-7486a5c41b35"],
Cell[1441485, 25499, 5018, 127, 218, "Output",ExpressionUUID->"a9ac43e1-b7c7-438b-9e7f-42599cd8c98c"]
}, Open  ]],
Cell[1446518, 25629, 181, 3, 35, "Text",ExpressionUUID->"cfbe74cd-47b0-47de-8455-b202701ae841"],
Cell[CellGroupData[{
Cell[1446724, 25636, 184, 4, 30, "Input",ExpressionUUID->"2c3fff92-9387-48c2-aa74-bc925f98b11b"],
Cell[1446911, 25642, 404, 7, 34, "Output",ExpressionUUID->"d6df2243-e533-4681-9e08-83c89a6c8d81"]
}, Open  ]],
Cell[CellGroupData[{
Cell[1447352, 25654, 208, 5, 30, "Input",ExpressionUUID->"8dd95e8a-7120-49e8-8076-a837547c79f2"],
Cell[1447563, 25661, 390, 6, 34, "Output",ExpressionUUID->"d96a764f-1e10-4cc3-aca2-6ca3ed32bcc0"]
}, Open  ]],
Cell[CellGroupData[{
Cell[1447990, 25672, 208, 5, 30, "Input",ExpressionUUID->"1be8bc05-31ff-41bc-bcc3-53f6efdf23e8"],
Cell[1448201, 25679, 370, 6, 34, "Output",ExpressionUUID->"64fcbd3e-1010-490c-84ec-b3d9b5b86b9b"]
}, Open  ]],
Cell[1448586, 25688, 234, 5, 64, "Input",ExpressionUUID->"af47f770-442c-4007-8e15-4fb4f7527492"]
}, Open  ]]
}, Open  ]]
}, Open  ]]
}, Open  ]]
}, Open  ]]
}, Open  ]]
}
]
*)