Compute for the simple random walk on for and .
Deleting both the row and the column corresponding to state we get the transition matrix of a random walk on . Hence
The eigen values are: and an orthonormal set of eigen vectors is:
Now
and thus
in particular .
For arbitrary an eigen vector is of the form:
The recursion: gives: . The boundary conditions and imply that
i.e. and
i.e. , , . Thus the eigen values are
and the eigen vectors