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

Advanced Engineering Mathematics
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Author:Erwin Kreyszig
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Chapter2: Second-order Linear Odes
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I thought c,d and e were correct but that’s not the answer
Check the true statements below:
OA. A matrix A is not invertible if and only if 0 is an
eigenvalue of A.
B. To find the eigenvalues of A, reduce A to echelon
form.
OC. Finding an eigenvector of A might be difficult, but
checking whether a given vector is in fact an
eigenvector is easy.
D. A number c is an eigenvalue of A if and only if the
equation (A - cI)x 0 has a nontrivial solution x.
OE. If Ax Xx for some vector x, then X is an
eigenvalue of A.
=
=
Transcribed Image Text:Check the true statements below: OA. A matrix A is not invertible if and only if 0 is an eigenvalue of A. B. To find the eigenvalues of A, reduce A to echelon form. OC. Finding an eigenvector of A might be difficult, but checking whether a given vector is in fact an eigenvector is easy. D. A number c is an eigenvalue of A if and only if the equation (A - cI)x 0 has a nontrivial solution x. OE. If Ax Xx for some vector x, then X is an eigenvalue of A. = =
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