7 -8 8 -9 -1

Advanced Engineering Mathematics
10th Edition
ISBN:9780470458365
Author:Erwin Kreyszig
Publisher:Erwin Kreyszig
Chapter2: Second-order Linear Odes
Section: Chapter Questions
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determine all eigenvalues and corresponding eigenvectors of the given matrix.

7 -8
8 -9
-1
Transcribed Image Text:7 -8 8 -9 -1
Expert Solution
Step 1

Eigenvalue: A number λ is said to be an eigenvalue of a square matrix A if there exists a non-zero

vector x such that Ax=λx.

Here, the non-zero vector x is called the eigenvector corresponding to the eigenvalue λ. We have

to find the eigenvalues of the matrix A=7-868-9600-1.

Step 2

Consider the matrix A-λI=7-λ-868-9-λ600-1-λ. The determinant of this matrix is -λ+13. Solving

the equation -λ+13=0, we get, λ1=-1, λ2=-1, λ3=-1. These are the eigenvalues of A.

For λ=-1, we have, A-λI=8-868-86000. We have to find the null space of A. For this, we will solve the

matrix equation 8-868-86000x1x2x3=000. This gives 1-134000000x1x2x3=000. If we take x2=t, x3=s

then, we have x1=t-34s. Thus, x=x1x2x3x=t-3s4ts.

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