How do I find out eigenvectors corresponding to a particular eigenvalue?
I have a stochastic matrix(P), one of the eigenvalues of which is 1. I need to find the eigenvector corresponding to the eigenvalue 1.
The scipy function scipy.linalg.eig returns the array of eigenvalues and eigenvectors.
D, V = scipy.linalg.eig(P)
Here D(array of values) and V(array of vectors) are both vectors.
One way is to do a search in D and extract the corresponding eigenvector in V. Is there an easier way?