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

Advanced Engineering Mathematics
10th Edition
ISBN:9780470458365
Author:Erwin Kreyszig
Publisher:Erwin Kreyszig
Chapter2: Second-order Linear Odes
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A is an n x n matrix.
Check the true statements below:
A. A number c is an eigenvalue of A if and only if the equation (A - cI) = 0 has a nontrivial solution .
B. To find the eigenvalues of A, reduce A to echelon form.
C. A matrix A is not invertible if and only if 0 is an eigenvalue of A.
| D. If Ax = Xx for some vector x, then A is an eigenvalue of A.
E. Finding an eigenvector of A might be difficult, but checking whether a given vector is in fact an eigenvector is easy.
Transcribed Image Text:A is an n x n matrix. Check the true statements below: A. A number c is an eigenvalue of A if and only if the equation (A - cI) = 0 has a nontrivial solution . B. To find the eigenvalues of A, reduce A to echelon form. C. A matrix A is not invertible if and only if 0 is an eigenvalue of A. | D. If Ax = Xx for some vector x, then A is an eigenvalue of A. E. Finding an eigenvector of A might be difficult, but checking whether a given vector is in fact an eigenvector is easy.
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