Share
Explore BrainMass

Eigenvalues and eigenfunctions

1. Identify p(x), q(x), w(x) alpha, beta, gamma, delta, solve for the eigenvalues and eigenfunctions, and work out the eigenfunction expansion of the given function f. If the characteristic equation is too difficult to solve analytically, state that and proceed with the rest of the problem as though the lambda_n's were known.

(b) y" + lambda y = 0,
y'(0) = 0, y(L) = 0, f(x) = 1

Attachments

Solution Preview

We have y''+ lambda*y=0 with y'(0)=0 and y(L)=0, so:

If lambda=0 --> y''=0 --> y(x)=Ax+B, y'(0)=0 ---> A=0 and y(L)=0 ---> B=0. Therefore, lambda=0 gives no meaningful eigenvectors.

If lambda>0:

y(x)= A*cos(sqrt(lambda)*x)+ B*sin(sqrt(lambda)*x)

y'(x)= -sqrt(lambda)*A*sin(sqrt(lambda)*x)+ sqrt(lambda)*B*cos(sqrt(lambda)*x)

so: y'(0)= B*sqrt(lambda)=0, so B=0. We also have that:

y(L)= A*cos(sqrt(lambda)*L)=0

A ...

Solution Summary

This shows how to solve for eigenvalues and eigenfunctions and work out an eigenfunction expansion.

$2.19