A is an n x n matrix. Check the true statements below: DA. Finding an eigenvector of A might be difficult, but checking whether a given vector is in fact an eigenvector is easy. B. A number c is an...


A is an n x n matrix.<br>Check the true statements below:<br>DA. Finding an eigenvector of A might be difficult, but checking whether a given vector is in fact an eigenvector is easy.<br>B. A number c is an eigenvalue of A if and only if the equation (A – cI)æ = 0 has a nontrivial solution x.<br>C. To find the eigenvalues of A, reduce A to echelon form.<br>D. If Ax = Ax for some vector æ, then A is an eigenvalue of A.<br>E. A matrix A is not invertible if and only if O is an eigenvalue of A.<br>

Extracted text: A is an n x n matrix. Check the true statements below: DA. Finding an eigenvector of A might be difficult, but checking whether a given vector is in fact an eigenvector is easy. B. A number c is an eigenvalue of A if and only if the equation (A – cI)æ = 0 has a nontrivial solution x. C. To find the eigenvalues of A, reduce A to echelon form. D. If Ax = Ax for some vector æ, then A is an eigenvalue of A. E. A matrix A is not invertible if and only if O is an eigenvalue of A.

Jun 04, 2022
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