Description
1 Part I (50%)
This part is required to be submitted in class.
(1) Exercise 5.1.1.a
(2) Exercise 5.1.3:b,d
(3) Exercise 5.1.6
(4) Exercise 5.1.7
2 Part II (50%)
Population growth is described by an ODE of the form y
0
(t) = ry(t), where r is the growth rate. In a typical
population, the growth rate is not a constant, but is density dependent. For example, as the population grows,
there might be less food available, and as a result the growth rate decreases. We consider the following Logistic
Equation:
y
0
(t) = r(1 −
y
K
)y, 0 ≤ t ≤ 50;
y(0) = y0
(1)
where 0 < y0 < K. Then the exact solution is given by
y(t) = y0K
y0 + (K − y0)e−rt .
Solve IVP (1) with y0 = 1000, r = 0.2, K = 4000 numerically using Euler’s method. Choose the step sizes
h = 10, 1, 0.1, respectively.
a) Compare the solutions to the exact solution in plots of population vs. time. Compare the actual maximal
error max
i
|y(ti) − wi
| with the error bound predicted in Theorem 5.9 (p.271).
b) Discuss the behavior of the solutions as a function of h. What happens for very large step size h?
Requirements Print your pdf file and submit it in the discussion section. Submit to CCLE the code, for
example: a MATLAB (or C++, C, etc) function euler.m that implements ALGORITHM 5.1 (p.267), and a
MATLAB script main.m that solves the IVP (1) and plots the approximated solutions versus the exact one.
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