If új = and ú2 = are eigenvectors of a matrix A corresponding to the eigenvalues 11 = -1 and 12 = -2, respectively, then A(01 + v2) =

Linear Algebra: A Modern Introduction
4th Edition
ISBN:9781285463247
Author:David Poole
Publisher:David Poole
Chapter5: Orthogonality
Section5.3: The Gram-schmidt Process And The Qr Factorization
Problem 1BEXP
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A is an n X n matrix.
Check the true statements below:
A. Finding an eigenvector of A might be difficult, but checking whether a given vector is in fact an eigenvector is easy.
B. A matrix A is not invertible if and only if 0 is an eigenvalue of A.
|C. A number c is an eigenvalue of A if and only if the equation (A – cl)x
D. If Ax = 1x for some vector x, then 1 is an eigenvalue of A.
E. To find the eigenvalues of A, reduce A to echelon form.
O has a nontrivial solution x.
Transcribed Image Text:A is an n X n matrix. Check the true statements below: A. Finding an eigenvector of A might be difficult, but checking whether a given vector is in fact an eigenvector is easy. B. A matrix A is not invertible if and only if 0 is an eigenvalue of A. |C. A number c is an eigenvalue of A if and only if the equation (A – cl)x D. If Ax = 1x for some vector x, then 1 is an eigenvalue of A. E. To find the eigenvalues of A, reduce A to echelon form. O has a nontrivial solution x.
If v 1
5
and v2
are eigenvectors of a matrix A corresponding to the eigenvalues 11 = -1 and 2
-2,
%3D
respectively,
then A(U1 + U2) =
Transcribed Image Text:If v 1 5 and v2 are eigenvectors of a matrix A corresponding to the eigenvalues 11 = -1 and 2 -2, %3D respectively, then A(U1 + U2) =
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