Is an × matrix. check the true statements below: a. if and are linearly independent eigenvectors, then they correspond to distinct eigenvalues. b. any non-zero vector in the nullspace of a square matrix is an eigenvector. c. if = for some non-zero vector x, then x is an eigenvector of d. the eigenvalues of a matrix are on its main diagonal. in eigenspace of is just a null space of a certain matrix.