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

Linear Algebra: A Modern Introduction
4th Edition
ISBN:9781285463247
Author:David Poole
Publisher:David Poole
Chapter4: Eigenvalues And Eigenvectors
Section4.3: Eigenvalues And Eigenvectors Of N X N Matrices
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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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