Linear Algebra and Its Applications (5th Edition)

Published by Pearson
ISBN 10: 032198238X
ISBN 13: 978-0-32198-238-4

Chapter 5 - Eigenvalues and Eigenvectors - 5.3 Exercises - Page 289: 8

Answer

The matrix is not diagonalizable.

Work Step by Step

Consider the matrix A = $\begin{pmatrix} 5 & 1 \\ 0 & 5 \end{pmatrix}$. We begin by finding the respective eigenvalues: $\lambda_n$ = $det(A - \lambda I) = \begin{vmatrix} 5 - \lambda & 1 \\ 0 & 5 - \lambda \end{vmatrix} = (5 - \lambda)(5 - \lambda)$ $\therefore \lambda = 5$ Now, we use the fact that $\lambda = 5$ to find the eigenvectors for $A$: $Nul(A - \lambda I) = Nul(A - 5 I) = \begin{pmatrix} 0 & 1 & 0 \\ 0 & 0 & 0 \end{pmatrix}$ $\therefore Nul(A - \lambda I) = \begin{pmatrix} 1 \\ 0 \end{pmatrix}$ As the number of eigenvectors is smaller than $n$, they do not form a linearly independent basis for $\mathbb{R}^n$, therefore A is not diagonalizable.
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