The matrix A is singular, with rank 1. Find its eigenvalues and associated eigenvectors. 8 -2 41 A = |-4 1 -2 8 -2 4

Advanced Engineering Mathematics
10th Edition
ISBN:9780470458365
Author:Erwin Kreyszig
Publisher:Erwin Kreyszig
Chapter2: Second-order Linear Odes
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The matrix \( A \) is singular, with rank 1. Find its eigenvalues and associated eigenvectors.

\[
A = \begin{bmatrix}
8 & -2 & 4 \\
-4 & 1 & -2 \\
8 & -2 & 4
\end{bmatrix}
\]

This matrix is a 3x3 singular matrix, meaning that at least one of its eigenvalues will be zero. The problem requires finding both the eigenvalues and the corresponding eigenvectors. The structure of the matrix indicates some repetition in the rows, which is a hint towards its singularity and affects the calculation of the eigenvectors.
Transcribed Image Text:The matrix \( A \) is singular, with rank 1. Find its eigenvalues and associated eigenvectors. \[ A = \begin{bmatrix} 8 & -2 & 4 \\ -4 & 1 & -2 \\ 8 & -2 & 4 \end{bmatrix} \] This matrix is a 3x3 singular matrix, meaning that at least one of its eigenvalues will be zero. The problem requires finding both the eigenvalues and the corresponding eigenvectors. The structure of the matrix indicates some repetition in the rows, which is a hint towards its singularity and affects the calculation of the eigenvectors.
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