22 a If Ax x for some scalar A then x is an eigenvector of

22. a. If Ax = x for some scalar A, then x is an eigenvector of A. b. If v1 and v2 are linearly independent eigenvector they correspond to distinct eigenvalues. e. A steady-state vector for a stochastic matrix is actually. eigenvector. d. The eigenvalues of a matrix are on its main diagonal e. An eigenspace of A is a null space of a certain matrix

Solution

option A---True

Option B- True...(every eigenvalues gives new eigen vector

option C- False

Option D- True

option E- False