next up previous
Next: Partial Differential Equations Up: Ordinary Differential Equations Previous: Outline

Sample Questions

1.
State and prove the classical Peano existence theorem for

\begin{displaymath}y' = f(t,y),\ y(t_0) = y_0,
\end{displaymath}

where f is continuous.
2.
State and prove the classical Cauchy existence and uniqueness theorem for

\begin{displaymath}y' = f(t,y),\ y(t_0) = y_0,
\end{displaymath}

where f and $\partial f/ \partial y$ are continuous.
3.
Verify that the system

\begin{eqnarray*}x'&=& cos(x y) - x,\\
y'&=&-y + x^2 + 1
\end{eqnarray*}


has an equilbrium point at

\begin{displaymath}(x,y)\doteq (0.632639, 1.4003)
\end{displaymath}

and write down the linearization of the system around this equilibrium solution. Analyze the behavior of the linearization and relate it to the behavior of non-linear system near the equilibrium point.

4.
Consider the Runge-Kutta numerical scheme

\begin{eqnarray*}k_1&=&h f(x_n,y_n),\\
k_2&=&h f(x_n + h/2, y_n + k_1/2),\\
k_...
...+ k_3),\\
y_{n+1}&=&y_n + \frac{1}{6}(k_1 + 2k_2 + 2k_3 + k_4).
\end{eqnarray*}


(a)
Compute the local truncation error.
(b)
Count the number of function evaluations required for a single step of this scheme.
(c)
Make appropriate assumptions on the function f and estimate the global error involved in using this scheme to solve the IVP

\begin{displaymath}y' =f(t,y),\ y(0)=y_0
\end{displaymath}

on the interval [0, L].
(d)
Perform a stability analysis of the scheme.
5.
Consider the linear multistep method

\begin{displaymath}y_{n+1} =y_n + \frac{h}{12}( 23 y'_n - 16 y'_{n-1} + 5 y'_{n-2} ).
\end{displaymath}

(a)
Compute the local truncation error.
(b)
Count the number of function evaluations required for a single step of this scheme.
(c)
Make appropriate assumptions on the function f and estimate the global error involved in using this scheme to solve the IVP

\begin{displaymath}y' = f(t,y),\ y(t_0) = y_0
\end{displaymath}

on the interval [0, L].
6.
Give an example of a stiff system of ODE. Explain why a general numerical scheme is unlikely to provide an accurate solution to a stiff system.


next up previous
Next: Partial Differential Equations Up: Ordinary Differential Equations Previous: Outline
Math Dept Webmaster
2003-08-28