The matrix has eigenvalues -5, 11, and 4. Find its eigenvectors. The eigenvalue -5 has associated eigenvector The eigenvalue 1 has associated eigenvector A 16 9 -12 -6 15 -5 9 6 -11

Advanced Engineering Mathematics
10th Edition
ISBN:9780470458365
Author:Erwin Kreyszig
Publisher:Erwin Kreyszig
Chapter2: Second-order Linear Odes
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The matrix
has eigenvalues −5, 1, and 4. Find its eigenvectors.
The eigenvalue -5 has associated eigenvector
The eigenvalue 1 has associated eigenvector
The eigenvalue 4 has associated eigenvector
A =
16
9
-12
-6 15
-5
9
6
-11
Transcribed Image Text:The matrix has eigenvalues −5, 1, and 4. Find its eigenvectors. The eigenvalue -5 has associated eigenvector The eigenvalue 1 has associated eigenvector The eigenvalue 4 has associated eigenvector A = 16 9 -12 -6 15 -5 9 6 -11
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