1 0 %3D 3 2
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
Please answer part 4 of this question.

Transcribed Image Text:Problem 5
Diagonalize the following matrices:
1 0
1. А —
3 2
1
2. В —
1
1
1
0 2
3. С —
2 0
2 0
4. D =
1
2 -1
1
1
Expert Solution
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Step 1
as you asking too many question i only answered first one.
A can be diagonalized if there exists an invertible matrix P and diagonal matrix D such that A=PDP-1
Here A | = |
|
Find eigenvalues of the matrix A
|A-λI|=0
|
= 0 |
∴(1-λ)×(2-λ)-0×3=0
∴(2-3λ+λ2)-0=0
∴(λ2-3λ+2)=0
∴(λ-1)(λ-2)=0
∴(λ-1)=0or(λ-2)=0
∴ The eigenvalues of the matrix A are given by λ=1,2,
1. Eigenvectors for λ=1
1. Eigenvectors for λ=1
A-λI= |
|
- 1 |
|
= |
|
- |
|
= |
|
Now, reduce this matrix
interchanging rows R1↔R2
= |
|
R1←R1÷3
= |
|
The system associated with the eigenvalue λ=1
(A-1I) |
|
= |
|
|
= |
|
⇒x1+0.33333333x2=0
⇒x1=-0.33333333x2
∴ eigenvectors corresponding to the eigenvalue λ=1 is
v= |
|
Let x2=1
v1= | 2. Eigenvectors for λ=22. Eigenvectors for λ=2
Now, reduce this matrix interchanging rows R1↔R2
R1←R1÷3
R2←R2+R1
The system associated with the eigenvalue λ=2
⇒x1=0 ∴ eigenvectors corresponding to the eigenvalue λ=2 is
Let x2=1
|
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