One eigenvalue of the matrix A 3 -8-5 - 20 0 5 -1 -2 0 0 4 -2 -2 -8 -2 -9 is X₁ = 5. Find enough vectors to form a basis of the eigenspace of A corresponding to X₁. Fill vectors from left to right. Leave unneeded vectors blank.
One eigenvalue of the matrix A 3 -8-5 - 20 0 5 -1 -2 0 0 4 -2 -2 -8 -2 -9 is X₁ = 5. Find enough vectors to form a basis of the eigenspace of A corresponding to X₁. Fill vectors from left to right. Leave unneeded vectors blank.
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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![One eigenvalue of the matrix A
3
-8-5
- 20
0
5
-1
-2
0 0
4 -2
-2 -8 -2 -9
is X₁ = 5.
Find enough vectors to form a basis of the eigenspace of A corresponding to X₁.
Fill vectors from left to right. Leave unneeded vectors blank.
HE](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F6195f099-697f-489e-94ae-c77f1a063c08%2F56527f19-4b11-4d70-a617-c754080aed19%2Fbv6f2nf_processed.png&w=3840&q=75)
Transcribed Image Text:One eigenvalue of the matrix A
3
-8-5
- 20
0
5
-1
-2
0 0
4 -2
-2 -8 -2 -9
is X₁ = 5.
Find enough vectors to form a basis of the eigenspace of A corresponding to X₁.
Fill vectors from left to right. Leave unneeded vectors blank.
HE
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