23.1 Check that 0 | is an eigenvector forr = -1 in Example 23.6.

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23.1 Check that
is an
eigenvector forr = -1 in Example 23.6.
-1
Transcribed Image Text:23.1 Check that is an eigenvector forr = -1 in Example 23.6. -1
Example 23.6 Let's compute the eigenvalues and eigenvectors of the 3 X3 matrix
1 0 2
0 5 0
0 2
B
3
584
EIGENVALUES AND EIGENVECTORS [23]
| Its characteristic equation is
1
2
det | 0
5 - r
= (5 – r)(r – 4)(r + 1).
%3D
3
2
Therefore, the eigenvalues of B are r = 5, 4, -1. To compute an eigenvector
corresponding to r = 5, we compute the nullspace of (B - 51); that is, we solve
the system
Transcribed Image Text:Example 23.6 Let's compute the eigenvalues and eigenvectors of the 3 X3 matrix 1 0 2 0 5 0 0 2 B 3 584 EIGENVALUES AND EIGENVECTORS [23] | Its characteristic equation is 1 2 det | 0 5 - r = (5 – r)(r – 4)(r + 1). %3D 3 2 Therefore, the eigenvalues of B are r = 5, 4, -1. To compute an eigenvector corresponding to r = 5, we compute the nullspace of (B - 51); that is, we solve the system
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