Numpy.linalg.eig function returning zero eigenvector?
So it looks like the matrix is actually degenerate, which I suppose makes sense, actually.
I have a 45x45 matrix which Stack overflow isn't letting me include as it is too long. But if I throw this matrix into numpy.linalg.eig, it gives me an eigenvector of all zeros in the last column. What does that even mean?