Linear Algebra and Its Applications (5th Edition)

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

Chapter 7 - Symmetric Matrices and Quadratic Forms - 7.1 Exercises - Page 401: 8

Answer

Since A$A^{T}$ $\ne$ I, the matrix is not orthogonal.

Work Step by Step

If a matrix is orthogonal, then A$A^{T}$ = I. If a matrix is orthogonal, then the inverse of the matrix is equal to $A^{T}$. First, we determine if A$A^{T}$ = I. A = $\begin{bmatrix} 1 & 1 \\ 1 & -1 \end{bmatrix}$ $A^{T}$ = $\begin{bmatrix} 1 & 1 \\ 1 & -1 \end{bmatrix}$ A$A^{T}$ = $\begin{bmatrix} 1 + 1 & 1 + (-1) \\ 1 + (-1) & 1 + 1 \end{bmatrix}$ = $\begin{bmatrix} 2 & 0 \\ 0 & 2 \end{bmatrix}$ Since A$A^{T}$ $\ne$ I, the matrix is not orthogonal.
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