Mathematica for Calculus II
(Version 9.0)
C. G. Melles
Mathematics Department
United States Naval Academy
December 31, 2013
Contents
1. Introduction
2. Volumes of revolution
3. Solving systems of equations
4. Partial fraction decomposition
5. Direction fields
6. Solutions of differential equations
7. Euler’s Method
8. Maclaurin and Taylor series
9. Graphs in polar coordinates
10. Vectors
11. Graphing lines in 3-dimensional space
12. Graphing planes
1. Introduction
Basic plotting, solutions of equations, lists and tables, defining and evaluating functions, limits, derivatives, and integrals are covered in the guide to Mathematica for Calculus I. This notebook covers
additional topics which are useful in Calculus II.
2. Volumes of Revolution
2.1. Plot the surface generated by revolving the graph of e-x from x = 0 to x = 1 around the y-axis.
2
Mathematica for Calculus II Notebook 9_0.nb
RevolutionPlot3DExp x, x, 0, 1
2.2. Plot the surface generated by revolving the graph of sin (x) from x = 0 to x = p around the x-axis. N
Note: The arrow is Ø obtained by typing - and >.
RevolutionPlot3DSinx, x, 0, Pi, RevolutionAxis  1, 0, 0
2.3. Plot the solid obtained by revolving the region bounded by the graphs of y=Sqrt[x] and y=x 4 around
the x-axis. Show with the same scale on both axes. Color the top surface green and the bottom
surface blue.
Mathematica for Calculus II Notebook 9_0.nb
RevolutionPlot3DSqrtx, x ^ 4, x, 0, 1, AspectRatio  Automatic,
RevolutionAxis  1, 0, 0, PlotStyle  Green, Blue
2.4. Plot the same solid as in the previous example, but make the green surface partly transparent and
remove the mesh.
3
4
Mathematica for Calculus II Notebook 9_0.nb
RevolutionPlot3DSqrtx, x ^ 4, x, 0, 1, AspectRatio  Automatic,
RevolutionAxis  1, 0, 0, PlotStyle  Opacity.6, Green, Blue, Mesh  None
2.5. Plot the same solid again, but revolved only 3/4 way around the axis, to see a cross-section.
Mathematica for Calculus II Notebook 9_0.nb
RevolutionPlot3DSqrtx, x ^ 4,
x, 0, 1, , Pi  2, 2  Pi, AspectRatio  Automatic,
RevolutionAxis  1, 0, 0, PlotStyle  Green, Blue, Mesh  None
3. Solving systems of equations
3.1. Solve the system of equations a + b + c = 2, a + d = 4, 2 a + c = 1, and 2 b - d = 1.
Notice the double == signs in the Mathematica command. Note that if the variables have been
assigned values in a previous problem, you should first use the clear command to clear out previous
values.
Cleara, b, c, d
Solvea  b  c  2 && a  d  4 && 2 a  c  1 && 2 b  d  1, a, b, c, d
a  1, b  2, c   1, d  3
3.2. Solve a system of nonlinear equations.
Solvea ^ 2  b ^ 2  2 && b  a ^ 2  1  0, a, b
a   , b  
a  , b 
3 , a   , b 
3 , a  
3 , a  , b  
2 , b  0, a 
3 ,
2 , b  0
3.3. Find the real solutions of a system of nonlinear equations.
5
6
Mathematica for Calculus II Notebook 9_0.nb
Solvea ^ 2  b ^ 2  2 && b  a ^ 2  1  0, a, b, Reals
a  
2 , b  0, a 
2 , b  0
3.4. Numerically approximate the real solutions of a system of nonlinear equations.
NSolvea ^ 2  b ^ 2  2 && b  a ^ 2  1  0, a, b, Reals
a   1.41421, b  0, a  1.41421, b  0
3.5. Find the solutions with a variable restricted to an interval.
NSolvea ^ 2  b ^ 2  2 && b  a ^ 2  1  0 && 0  a  2, a, b, Reals
a  1.41421, b  0
4. Partial fraction decomposition
4.1. Find the partial fraction decomposition of a rational function.
Apart3 x ^ 2  x  4  x ^ 3  4 x
1

1  2 x
4  x2
x
5. Direction fields
5.1. Plot a direction field for the differential equation y’=-x/y. Since Mathematica does not have a function
to plot direction fields, we use the VectorPlot function to plot the vector field {1,-x/y}. We use the
VectorScale options Tiny (size of vectors relative to bounding boxes), Automatic (aspect ratio), and
None (all vectors the same length). We use VectorStyle “Segment”.
VectorPlot1,  x  y, x,  3, 3, y,  3, 3,
VectorScale  Tiny, Automatic, None, VectorStyle  "Segment"
3
2
1
0
-1
-2
-3
-3
-2
-1
0
1
2
3
Mathematica for Calculus II Notebook 9_0.nb
7
5.2. We plot another vector field, using options to obtain a more detailed picture. We give the plot a
name, such as Field2, for use below in section 6.
Field2  VectorPlot1, y  3  y, x, 0, 4, y, 0, 4, VectorPoints  Fine,
VectorScale  0.02, Automatic, None, VectorStyle  "Segment"
4
3
2
1
0
0
1
2
3
4
6. Solutions of differential equations
6.1. Solve a differential equation exactly. C[1] represents an unknown constant.
DSolvey 'x   x  yx, yx, x
yx  
 x2  2 C1 , yx 
 x2  2 C1 
6.2. Solve a differential equation with initial condition.
DSolvey 'x   x  yx, y0  2, yx, x
DSolve::bvnul : For some branches of the general solution, the given boundary conditions lead to an empty solution. à
yx 
4  x2 
6.3. Solve a differential equation and plot the solution. We save the result of the DSolve command with a
name of our choice, such as Solution1. The ; at the end of the first command indicates not to display
the result. The /. in the second command indicates that Solution1 is to be used for y[x].
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Mathematica for Calculus II Notebook 9_0.nb
Solution1  DSolvey 'x  yx  3  yx, y0  0.1, yx, x;
Plotyx . Solution1, x, 0, 4
Solve::ifun :
Inverse functions are being used by Solve, so some solutions may not be found; use Reduce for complete solution information. à
3.0
2.5
2.0
1.5
1.0
0.5
1
2
3
4
6.4. Solve the same differential equation numerically and plot it.
Solution2  NDSolvey 'x  yx  3  yx, y0  0.1, y, x, 0, 4;
Plotyx . Solution2, x, 0, 4
3.0
2.5
2.0
1.5
1.0
0.5
1
2
3
4
6.5. Find solutions of a differential equation for several initial conditions and plot them. We first construct
a list of replacement rules for the initial conditions, which we give a name, such as c3list. We then
solve the differential equation and give it a name, such as Solution3. Using /. we evaluate y[x] at
these solutions and at each of the constants, to form a list of solutions, which we can then plot.
c3list  Tablec3  c, c, 0, 0.1, 1, 2, 3, 4;
Solution3  DSolvey 'x  yx  3  yx, y0  c3, yx, x;
Solve::ifun :
Inverse functions are being used by Solve, so some solutions may not be found; use Reduce for complete solution information. à
Solutionlist3  yx . Solution3 . c3list
0, 
0.3 3 x
2.9  0.1 3 x
, 
3 3 x
2  3 x
, 
6 3 x
1  2 3 x
, 3, 
12 3 x
 1  4 3 x

Mathematica for Calculus II Notebook 9_0.nb
9
PlotSolutionlist3, x, 0, 4
4
3
2
1
1
2
3
4
6.6. We solve the same problem with the numerical differential equation solver. We give the plot a name,
such as SolutionPlot4. We use PlotStyle->Thick to make the plot clearer.
c4list  0, 0.1, 1, 2, 3, 4;
Solutions4 
TableNDSolvey 'x  yx  3  yx, y0  c4, y, x, 0, 4, c4, c4list;
SolutionPlot4  Plotyx . Solutions4, x, 0, 4, PlotStyle  Thick
4
3
2
1
1
2
3
4
6.7. We combine the direction field from 5.2 with the solution plot above.
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Mathematica for Calculus II Notebook 9_0.nb
ShowField2, SolutionPlot4
4
3
2
1
0
0
1
2
3
4
7. Euler’s methods
7.1. Apply Euler’s method to the differential equation y’=y(3-y), y(0)=0.1 with step size h=0.2 and 20
steps. Make a table of x and y values and call it EulerList1. Plot the values using ListPlot.
Clearx, y; x0  0; y0  0.1; h  0.2;
yi_ : yi  yi  1  h  yi  1  3  yi  1
xi_ : xi  xi  1  h
EulerList1  Tablexi, yi, i, 0, 20;
Mathematica for Calculus II Notebook 9_0.nb
TableFormEulerList1, TableHeadings  None, "x", "y"
x
0
0.2
0.4
0.6
0.8
1.
1.2
1.4
1.6
1.8
2.
2.2
2.4
2.6
2.8
3.
3.2
3.4
3.6
3.8
4.
y
0.1
0.158
0.247807
0.38421
0.585212
0.867845
1.23792
1.67418
2.11812
2.4917
2.74501
2.885
2.95135
2.98007
2.99195
2.99677
2.9987
2.99948
2.99979
2.99992
2.99997
EulerGraph1  ListPlotEulerList1
3.0
2.5
2.0
1.5
1.0
0.5
1
2
3
4
11
12
Mathematica for Calculus II Notebook 9_0.nb
ShowField2, EulerGraph1
4
3
2
1
0
0
1
2
3
4
Clearx, y
8. Maclaurin and Taylor series
8.1. Construct the Taylor polynomials of degrees 0 to 4 of a function at x=a and plot them, along with the
original function. We will call the collections of polynomials TaylorTable1.
fx_ : Expx; a  2;
Tn_, x_ : SumDerivativeifa  x  a ^ i  Factoriali, i, 0, n
TaylorTable1  TableTn, x, n, 0, 4
2 , 2  2  2  x, 2  2  2  x 
2  2  2  x 
2  2  2  x 
1
2
1
2
2  2  x2 
2  2  x2 
1
6
1
6
1
2
2  2  x2 ,
2  2  x3 ,
2  2  x3 
1
24
2  2  x4 
Mathematica for Calculus II Notebook 9_0.nb
Plotfx, TaylorTable1, x,  1, 4,
PlotStyle  Thick, Black, Red, Orange, Green, Cyan, Blue
50
40
30
20
10
-1
1
2
3
4
-10
9. Graphs in polar coordinates
9.1. An 8-petal rose.
PolarPlotCos4 t, t, 0, 2  Pi, PlotStyle  Red
1.0
0.5
-1.0
-0.5
0.5
-0.5
-1.0
9.2. The intersection of a circle and a cardiod.
1.0
13
14
Mathematica for Calculus II Notebook 9_0.nb
PolarPlot3 Cost, 1  Cost, t, 0, 2  Pi, PlotStyle  Red, Blue
1.5
1.0
0.5
0.5
1.0
1.5
2.0
2.5
-0.5
-1.0
-1.5
10. Vectors
10.1. Addition of vectors.
1, 2, 3  4, 0,  1
5, 2, 2
10.2. Scalar multiplication.
10 1, 2, 3
10, 20, 30
10.3. Magnitude of a vector.
Norm1, 2, 3
14
10.4. Dot product.
Dot1, 2, 3, 5, 0, 1
8
10.5. Cross product.
Cross1, 0, 1, 0, 1, 0
 1, 0, 1
11. Graphing lines in 3-dimensional space
11.1. Graph a parametrized line.
3.0
Mathematica for Calculus II Notebook 9_0.nb
ParametricPlot3D1  t, 2 t,  1  t, t, 0, 1
2.0
1.5
1.0
0.5
0.0
0.0
-0.5
-1.0
1.0
1.5
2.0
11.2. Show the graph of a parametrized line within a given size box. Label the axes. Color the line blue.
15
16
Mathematica for Calculus II Notebook 9_0.nb
ParametricPlot3D1  t, 2 t,  1  t, t, 0, 1, PlotRange  0, 3, 0, 5,  2, 1,
AxesLabel  x, y, z, PlotStyle  Thick, Blue
4
y
2
10
0
z
-1
-2
0
1
x
2
3
11.3. Show a line from a point P=(1,2,3) to a point Q=(4,4,4). Label the points.
Line1  ParametricPlot3D1  t  1, 2, 3  t  4, 4, 4, t, 0, 1, PlotRange 
0, 5, 0, 5, 0, 5, AxesLabel  x, y, z, PlotStyle  Thick, Blue;
PLabel  Graphics3DText"1,2,3", 1.4, 2, 3;
QLabel  Graphics3DText"4,4,4", 4, 4, 4.3;
PtGraph1  ListPointPlot3D1, 2, 3, 4, 4, 4, PlotStyle  PointSizeLarge;
Mathematica for Calculus II Notebook 9_0.nb
17
ShowLine1, PLabel, QLabel, PtGraph1
4
y
2
4,4,4
0
1,2,3
4
z
2
0
0
2
x
4
12. Graphing planes
12.1. Plot the plane z=x+2y+3 for 0§x§3 and 0§y§2.
Plot3Dx  2 y  3, x, 0, 3, y, 0, 2, AxesLabel  x, y, z
12.2. Plot the portion of the plane through the point (1,2,0) with normal vector (2,1,3) such that 0§x§4, 0§
y§4, and 0§z§4.
18
Mathematica for Calculus II Notebook 9_0.nb
ContourPlot3D2 x  1  y  2  3 z  0,
x, 0, 4, y, 0, 4, z, 0, 4, AxesLabel  x, y, z
12.3. Plot the triangle determined by the points P=(1,2,3), Q=(4,4,4), and R=(1,3,5). First we find two
vectors in the plane. Then we parametrize the plane in terms of these vectors and the point P as
{x,y,z}={1,2,3}+sv+tw. We take the portion for which 0§s§1, 0§t§1, and s+t§1.
v  4, 4, 4  1, 2, 3
w  1, 3, 5  1, 2, 3
3, 2, 1
0, 1, 2
Triangle1  ParametricPlot3D1, 2, 3  s  v  t  w, s, 0, 1, t, 0, 1,
RegionFunction  Functionx, y, z, s, t, s  t  1, PlotStyle  Blue;
PLabel  Graphics3DText"1,2,3", 1.4, 2, 3;
QLabel  Graphics3DText"4,4,4", 4, 4, 4.3;
RLabel  Graphics3DText"1,3,5", 1.3, 3, 5.2;
PtGraph2 
ListPointPlot3D1, 2, 3, 4, 4, 4, 1, 3, 5, PlotStyle  PointSizeLarge;
Mathematica for Calculus II Notebook 9_0.nb
ShowTriangle1, PLabel, QLabel, RLabel, PtGraph2
Clearv, w
19