Isospectral reductions decrease the dimension of the adjacency matrix
while keeping all the eigenvalues. This is achieved by using rational
functions in the entries of the reduced matrix. I will show how it's
done through an example. I will also discuss about the eigenvectors and
generalized eigenvectors before and after reductions.