A is an n×n matrix. Check the true statements below: A. If Ax=λx for some vector x, then x is an eigenvector of A. B. A steady-state vector for a stochastic matrix is actually an eigenvector. C. If v1 and v2 are linearly independent eigenvectors, then they correspond to distinct eigenvalues. D. An eigenspace of A is just a null space of a certain matrix. E. The eigenvalues of a matrix are on its main diagonal.