Slope Fields: Solved Exercises and Analysis, Exercises of Mathematics

Detailed solutions and explanations for exercises on slope fields, a concept in calculus. It covers both traditional methods and the use of tracing software (maxima) to plot and analyze slope fields. The exercises involve determining slopes, plotting slope segments, finding equilibrium solutions, and evaluating stability. Step-by-step instructions and visual aids to help students understand the concepts.

Typology: Exercises

2020/2021

Available from 05/29/2024

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CLAREMONT MCKENNA COLLEGE
Solved Exercises on Slope Fields
PART 1: TRADITIONAL METHOD
1) Sketch the slope field over the region [-5,5] x [-5,5]. Include the isocline in your
sketch.
y= x2+ 2,
Next, trace the solution that satisfies 𝑦(1)= 0
Solution:
a) Understanding y′ (the Derivative):
y′ represents the slope of the tangent line to the solution curve at any given point
(x,y).
For each point (x,y) in the plane, we compute y′=f(x,y).
b) Determine Slopes for Various Points:
At each point (x,y), draw a small line segment with the slope given by y′.
If y′=0 at a point, the line segment is horizontal.
As y′ increases, the line segment becomes steeper.
c) Plotting Slopes:
Choose a grid of points in the (x,y) plane.
Calculate the slope y′ at each grid point using the differential equation.
For example, using a table of values for y’, we substitute an arbitrary value for x
(both negative and positive value) to determine the direction and behavior of the
slope field.
x
-5
-4
-3
-2
-1
0
1
2
3
4
5
y
0
0
0
0
0
0
0
0
0
0
0
y’
27
18
11
6
3
2
3
6
11
18
27
pf3
pf4
pf5
pf8
pf9
pfa

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CLAREMONT MCKENNA COLLEGE

Solved Exercises on Slope Fields

PART 1: TRADITIONAL METHOD

1) Sketch the slope field over the region [-5,5] x [-5,5]. Include the isocline in your

sketch.

y

= x

2

Next, trace the solution that satisfies 𝑦( 1 ) = 0

Solution:

a) Understanding y′ (the Derivative):

• y′ represents the slope of the tangent line to the solution curve at any given point

(x,y).

• For each point (x,y) in the plane, we compute y′=f(x,y).

b) Determine Slopes for Various Points:

  • At each point (x,y), draw a small line segment with the slope given by y′.
  • If y′=0 at a point, the line segment is horizontal.
  • As y′ increases, the line segment becomes steeper.

c) Plotting Slopes:

  • Choose a grid of points in the (x,y) plane.
  • Calculate the slope y′ at each grid point using the differential equation.
  • For example, using a table of values for y’, we substitute an arbitrary value for x

(both negative and positive value) to determine the direction and behavior of the

slope field.

x - 5 - 4 - 3 - 2 - 1 0 1 2 3 4 5

y 0 0 0 0 0 0 0 0 0 0 0

y’ 27 18 11 6 3 2 3 6 11 18 27

d) Plot Slope Segments:

  • At each grid point, draw a short line segment with the slope calculated.
  • If y′=0y′=0, draw a horizontal segment.
  • If y′>0y′>0, draw a segment with a positive slope. The greater y′, the steeper the segment.
  • If y′<0y′<0, draw a segment with a negative slope. The more negative y′, the steeper the

segment downward.

To visualize what the graph looks like virtually, a trace is plotted using the website

GeoGebra using y’ over the region [-5,5] x [-5,5]. The point is (1,0) based on the given in

c) Plot Slope Segments:

o Recall how we draw line segments for slope fields using the earlier example and

try doing the slope field on your own.

o To check, we can use GeoGebra again for the correct plot. Trace the point (1,0)

based on the given in #2.

PART 2: USING TRACING SOFTWARE (MAXIMA)

a) Install and Open Maxima:

  • Make sure you have Maxima installed on your computer. Open the Maxima

console.

  • Here’s how to install it on windows: https://maxima.sourceforge.io/windows-

install.html

b) Define the Differential Equation:

• Let us use some given function y’ where,

= (y + 2 )

2

(y − 4 )

• Plot this in Maxima using the command plotdf as shown below. Disregard the

command for trajectory for a while.

c) Create a Grid of Points and Compute Slopes:

  • Define a range for x and y. For example:

o x_min: - 5;

o x_max: 5;

o y_min: - 5;

o y_max: 5;

o step: 0.5;

d) Find Equilibrium Solutions:

• Equilibrium solutions occur where y' = 0. In this case,

= (y + 2 )

2

(y − 4 )

y + 2

2

y − 4

• The trace of y=-2 and y=4 is presented below using the command

[trajectory_at, x, y]. In this case, x=0 while y will be the values which we will

plug in.

  • 𝑥 = 0 , 𝑦 = −
  • 𝑥 = 0 , 𝑦 =

e) Determine Stability:

• Next, we evaluate the sign of y' near the equilibrium points to determine

stability. Try clicking near some points on the graph for each y value. Note

that you may have to type the command plotdf for different trajectories each

time.

• Observations:

o For 𝑦 < − 2 , ( y + 2 )

2

(y − 4 ) > 0 , which means it is a positive slope

and the solution moves away.

o For 𝑦 > − 2 , ( y + 2 )

2

(y − 4 ) < 0 , which means it is a negative slope

and the solution moves toward.

o Thus, y = - 2 is SEMI-STABLE, as only one side of the solution is

asymptotic (For a review on the stability of the trace points, check

out this link).

• Based from these behaviors of slope fields, do you think two distinct

solutions to the equation intersect?

o It’s possible. The derivative F(x,y) is well-defined and has a unique

value at any given point in the region under consideration. If we

assume the derivative is well-behaved everywhere and the curves

cannot cross at nonzero angles, then the solution curve passing

through any point in 2D space must be tangent to a single, distinct

slope.

o Therefore, while it is possible for not well-behaved solution curves to

intersect at a point, such intersections are rare.