et A� be an 5 by 5 matrix, let v1�1 be an eigenvector of A� with eigenvalue λ1�1 and let v2�2 be an eigenvector of A� with eigenvalue λ2�2. Select all items below that are true. A. The vector −5v1−5�1 need not be an eigenvector of A�. B. If v1�1 is a scalar multiple of v2�2, then λ1=λ2�1=�2. C. The vector −5v1−5�1 is an eigenvector of A�.

Linear Algebra: A Modern Introduction
4th Edition
ISBN:9781285463247
Author:David Poole
Publisher:David Poole
Chapter4: Eigenvalues And Eigenvectors
Section4.1: Introduction To Eigenvalues And Eigenvectors
Problem 36EQ: Consider again the matrix A in Exercise 35. Give conditions on a, b, c, and d such that A has two...
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Let A� be an 5 by 5 matrix, let v1�1 be an eigenvector of A� with eigenvalue λ1�1 and let v2�2 be an eigenvector of A� with eigenvalue λ2�2. Select all items below that are true.
A. The vector −5v1−5�1 need not be an eigenvector of A�.

B. If v1�1 is a scalar multiple of v2�2, then λ1=λ2�1=�2.

C. The vector −5v1−5�1 is an eigenvector of A�.

D. For any real number c�, cλ1��1 is also an eigenvalue of A�.

E. If 0 is an eigenvalue of A�, then A� is singular.

F. If λ1=λ2�1=�2, then v1+v2�1+�2 is an eigenvector of A� (as long as it is nonzero).

G. If λ1=λ2�1=�2, then v1�1 must be a scalar multiple of v2�2 (or vice versa).

H. It is entirely possible that the zero vector is an eigenvector of A�.

I. If A� is singular, then 0 is an eigenvalue of A�.

J. None of the above

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