Let A be a matrix with the following factorisation into PDP-1: [-3 -5] [3 -5 -6 9 6 1 -1 -4 0 -3 0 -1 -6 -3 1 -1] Lo 3] L-1 10 Use this to find the eigenvalues of A and a basis for each eigenspace. Into e_1 enter the larger eigenvalue, and into A_1 enter a matrix whose columns form a basis of the corresponding eigenspace. Into e_2 enter the smaller eigenvalue, and into A_2 enter a matrix whose columns form a basis of the corresponding eigenspace.
Let A be a matrix with the following factorisation into PDP-1: [-3 -5] [3 -5 -6 9 6 1 -1 -4 0 -3 0 -1 -6 -3 1 -1] Lo 3] L-1 10 Use this to find the eigenvalues of A and a basis for each eigenspace. Into e_1 enter the larger eigenvalue, and into A_1 enter a matrix whose columns form a basis of the corresponding eigenspace. Into e_2 enter the smaller eigenvalue, and into A_2 enter a matrix whose columns form a basis of the corresponding eigenspace.
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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Question
PDP^-1 Matrix
![Let A be a matrix with the following factorisation into PDP-l:
-3
6.
6.
-1
-5 6 1
-6
9.
6.
-1
-4
-3
-1
1
1
6.
-6
-3
3.
1
Use this to find the eigenvalues of A and a basis for each eigenspace.
Into e_1 enter the larger eigenvalue, and into A_1 enter a matrix whose columns form a basis of the corresponding eigenspace.
Into e_2 enter the smaller eigenvalue, and into A_2 enter a matrix whose columns form a basis of the corresponding eigenspace.](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F6bc6d303-52a6-496d-a490-2e6b9ca359c2%2Fe0ce4f76-f232-45ec-92c2-a2997c1a1a1e%2Fflo7vw_processed.png&w=3840&q=75)
Transcribed Image Text:Let A be a matrix with the following factorisation into PDP-l:
-3
6.
6.
-1
-5 6 1
-6
9.
6.
-1
-4
-3
-1
1
1
6.
-6
-3
3.
1
Use this to find the eigenvalues of A and a basis for each eigenspace.
Into e_1 enter the larger eigenvalue, and into A_1 enter a matrix whose columns form a basis of the corresponding eigenspace.
Into e_2 enter the smaller eigenvalue, and into A_2 enter a matrix whose columns form a basis of the corresponding eigenspace.
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