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AP Calculus. Euler s Method and Logistic Growth

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AP Calculus 

 

Euler’s Method and Logistic Growth

Student Handout

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Euler’s Method and Logistic Growth (BC Only)

Euler’s Method

Students should be able to:

 Approximate numerical solutions of differential equations using Euler’s method without a calculator.  Explain whether the numerical approximation is an overestimation or underestimation based on the

concavity of the solution curve.

 Recognize the method as a recursion formula extension of the point-slope version of the equation of a tangent line.

 General Format: yy1m x( x1) (point-slope form of equation of tangent line)

1 ( 1)

yym xx (where m is dy

dx=given differential equation,

1

x is the step size ( h or xx  , and

1

y is the given y the first time, for other

iterations it is the previous y or yn1)

 Produce ordered pairs of points for the function to be approximated given an increment for the change in x.

Logistic Growth

Students should be able to:

 Know that the solution of the general logistic differential equation is

( ) dP kP L P dt   is 1 (Lk t) L P ae  

where L is the maximum carrying capacity and k is the growth constant (L and k are both positive).

 Identify the possible shapes of the solution curves when P0L or when P0L.

 Determine the limit of the population over a long period of time (always the maximum carrying capacity L, regardless of the initial population).

 Determine the limit of the rate of change of the population over a long period of time.

 Determine when the population is growing the fastest (always when the population is half of the maximum carrying capacity)

 Factor the differential equation (if not given in factored form) so that it is in the form of

( )

dP

kP L P

dt   where L, the maximum carrying capacity, can be easily determined.

L is the maximum population that can be sustained or supported as time t increases. A population that satisfies the differential equation does not grow without bound (as in exponential growth) but approaches the carrying capacity L as time t increases.

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Multiple Choice Euler’s Method 1. (calculator not allowed)

Let yf x( ) be the solution to the differential equation dy x y

dx   with the initial

condition f(1) 2 . What is the approximation for f(2) if Euler’s method is used, starting

at x with a step size of 0.5? 1 (A) 3

(B) 5 (C) 6 (D) 10 (E) 12

2. (calculator not allowed)

Given that y(1) 3 and dy 2x y

dx   , what is the approximation for y(2) if Euler’s method

is used with a step size of 0.5, starting at x ? 1 (A)  5

(B) 4.25 (C) 4 (D) 3.75 (E) 3.5

3. (calculator not allowed)

Let yf x( ) be the particular solution to the differential equation dy x 2y

dx   with the

initial condition f(0) 1. Use Euler’s method, starting at x with two steps of equal size, 0

to approximate f( 0.6). (A) 0.25 (B) 0.55 (C) 0.55 (D) 0.25 (E) 1.2

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4. (calculator not allowed)

Assume that f and f have the values given in the table. Use Euler’s Method with two

equal steps to approximate the value of f(4.4).

x 4 4.2 4.4 ( ) f x 0.5 0.3 0.1 ( ) f x 2 (A) 1.96 (B) 1.88 (C) 1.84 (D) 0.94 (E) 0.88

5. (calculator not allowed)

Letyf x

 

be the solution to the differential equationdy x y

dx   with initial condition

 

1 3

f  . What is the approximation for f

 

2 obtained by using Euler’s method with two

steps of equal length starting atx ? 1 (A) 5 4  (B) 1 (C) 7 4 (D) 2 (E) 21 4

6. (calculator not allowed)

0 0 xf x( ) 20  1 2 xf x( ) 61  2 4 xf x( ) 102

Consider the differential equation

2 4

dy Ax dx y

 , where A is a constant.

Let yf x( ) be the particular solution to the differential equation with the initial condition (0) 2

f  . Euler’s method, starting at x with a step of 2, is used to approximate 0 f(4).

Steps from this approximation are shown in the table above. What is the value of A? (A) 1 2 (B) 2 (C) 5 (D) 13 2

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Free Response

7. (calculator not allowed)

Let f be the function satisfying f (x) 3xf (x) , for all real numbers x with f (1)  4 .

(b) Use Euler’s Method, starting at x , with step size of 0.5, to approximate f (2). 1

8. (calculator not allowed)

Consider the differntial equation dy 3x 2y 1 dx   

(c) Let yf x( ) be a particular solution to the differential equation with intial condition

f (0) 2. Use Euler’s Method, starting at x with step size of 0 1

2 , to

approximate f(1).

(d) Let yg x( ) be another solution to the differential equation with initial condition

g(0) k , where k is a constant. Euler’s Method, starting at x = 0 with step size of 1,

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9. (calculator not allowed)

Consider the differential equation 2 2

6 .

dy

x x y

dx   Let yf x( ) be a particular solution to

this differential equation with the initial condition f( 1) 2. 

(a) Use Euler’s method with two steps of equal size, starting at x  , to approximate 1

(0). f

Show the work that leads to your answer.

10. (calculator not allowed)

The function f is twice differentiable forx with0 f

 

1 15and f 

 

1 20. Values of f ,

the derivative of f , are given for selected values of x in the table above. (Note: all parts of

question are included to observe the different approximation methods)

(a) Write an equation for the line tangent to the graph of f atx . Use this line to 1

approximate f

 

1.4 .

(b) Use a midpoint Riemann sum with two subintervals of equal length and values from the table to approximate 1.4

 

1 fx dx

. Use the approximation for 1.4

 

1 fx dx

to estimate the value off

 

1.4 . Show the computations that lead to your answer.

(c) Use Euler’s method, starting atx with two steps of equal size, to approximate1 f

 

1.4 .

Show the computations that lead to your answer.

(d) Write the second-degree Taylor polynomial for f aboutx . Use the Taylor polynomial 1

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Student Samples 2012 BC 4c Sample B

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Sample F

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Multiple Choice Logistic Growth 11. (calculator not allowed)

The number of moose in a national park is modeled by the function M that satisfies the

logistic differential equation 0.6 1 200 dM M M dt   

 , where t is the time in years and (0) 50 M  . What is lim ( ) tM t ? (A) 50 (B) 200 (C) 500 (D) 1000 (E) 2000

12. (calculator not allowed)

Which of the following differential equations for a population P could model the logistic

growth shown in the figues above? (A) dP 0.2 0.001 2 P P dt   (B) dP 0.1 0.001 2 P P dt   (C) 2 0.2 0.001 dP P P dt   (D) 2 0.1 0.001 dP P P dt  

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13. (2012 BC 14)

Let k be a positive constant. Which of the following is a logistic differential equation? (A) dy kt dt  (B) dy ky dt  (C) dy kt

1 t

dt   (D) dy ky

1 t

dt   (E) dy ky

1 y

dt  

14. (Curriculum Framework Sample Question 5)

The number of fish in a lake is modeled by the function P that satisfies the differential equation dP 0.003 (1000P P)

dt   , where t is the time in years. Which of the following could

be the graph of yP t( )?

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Free Response

15. (calculator not allowed)

Consider the logistic differential equation (6 ). 8

dy y y

dt   Let yf t

 

be the particular

solution to the differential equation with f(0) 8 .

(a) A slope field for this differential equation is given below. Sketch the possible solution curves through the points (3, 2) and (0, 8).

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16. (calculator not allowed)

A population is modeled by a function P that satisfies the logistic differential equation

1 5 12 dP P P dt      .

(a) If P(0) = 3, what is lim ( )? tP t

If P(0) = 20, what is lim ( )? tP t

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17. (1991 BC6)

A certain rumor spreads through a community at the rate dy

dt  2y(1  y), where y is the

proportion of the population that has heard the rumor at time t.

(a) What proportion of the population has heard the rumor when it is spreading the fastest?

(b) If at time t = 0 ten percent of the people have heard the rumor, find y as a function of t.

References

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