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OpenStudy (anonymous):
Could someone help me figure this out? Must check all that apply A is an nxn matrix. Check the true statements below: A. If for some vector , then is an eigenvector of . B. If and are linearly independent eigenvectors, then they correspond to distinct eigenvalues. C. The eigenvalues of a matrix are on its main diagonal. D. An eigenspace of is just a null space of a certain matrix. E. A steady-state vector for a stochastic matrix is actually an eigenvector.
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OpenStudy (anonymous):
You are missing information : " If__ and__ are linearly..."
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