Find all distinct (real or complex) eigenvalues of A. Then find a basis for the eigenspace of A corresponding to each eigenvalue. For each eigenvalue, specify the dimension of the eigenspace corresponding to that eigenvalue, then enter the eigenvalue followed by the basis of the eigenspace corresponding to that eigenvalue. -8 2 A = - 13 2 Number of distinct eigenvalues: 2 Dimension of Eigenspace: 2 0:. Dimension of Eigenspace: 2 0:- ㅇㅇㅇ으
Find all distinct (real or complex) eigenvalues of A. Then find a basis for the eigenspace of A corresponding to each eigenvalue. For each eigenvalue, specify the dimension of the eigenspace corresponding to that eigenvalue, then enter the eigenvalue followed by the basis of the eigenspace corresponding to that eigenvalue. -8 2 A = - 13 2 Number of distinct eigenvalues: 2 Dimension of Eigenspace: 2 0:. Dimension of Eigenspace: 2 0:- ㅇㅇㅇ으
Advanced Engineering Mathematics
10th Edition
ISBN:9780470458365
Author:Erwin Kreyszig
Publisher:Erwin Kreyszig
Chapter2: Second-order Linear Odes
Section: Chapter Questions
Problem 1RQ
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Pls help ASAP. As you can see from the image the dimension eignevalue and distinct eignevalue when its one then pls state that and if there are more than one pls state that and pls give the proper matrix numbers to fill in and clearly state where they are by highlighting them or circling the answers. Pls do it right.
Transcribed Image Text:Find all distinct (real or complex) eigenvalues of A. Then find a basis for the eigenspace of A corresponding to each eigenvalue.
For each eigenvalue, specify the dimension of the eigenspace corresponding to that eigenvalue, then enter the eigenvalue followed by the basis of the eigenspace corresponding to that eigenvalue.
-8 2
A =
- 13 2
Number of distinct eigenvalues: 2
Dimension of Eigenspace: 2
0:
Dimension of Eigenspace: 2
0:
Transcribed Image Text:Find all distinct (real or complex) eigenvalues of A. Then find a basis for the eigenspace of A corresponding to each eigenvalue.
For each eigenvalue, specify the dimension of the eigenspace corresponding to that eigenvalue, then enter the eigenvalue followed by the basis of the eigenspace corresponding to that eigenvalue.
-13 2
A =
Number of distinct eigenvalues: 1
Dimension of Eigenspace: 1
0:
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