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 - 5.1 Exercises - Page 274: 28

Answer

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Work Step by Step

Let A be a lower triangular matrix of the form $\begin{bmatrix} a_{11}&0&0\\a_{21}&a_{22}&0\\a_{31}&a_{32}&a_{33} \end{bmatrix}$. As shown in exercise 27, the eigenvalues of A must be equal to the eigenvalues of the transpose of A, shown below. $\begin{bmatrix} a_{11}&a_{21}&a_{31}\\0&a_{22}&a_{32}\\0&0&a_{33} \end{bmatrix}$. Thus the matrix now has the same form as the one in theorem 1, showing that it is true for lower triangular matrices.
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