Linear Algebra and Its Applications (5th Edition)

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

Chapter 6 - Orthogonality and Least Squares - 6.4 Exercises - Page 361: 16

Answer

$Q=\begin{bmatrix} 1/2&-1/\sqrt{8}&1/2 \\-1/2&1/\sqrt{8}&1/2 \\0&2/\sqrt{8}&0 \\1/2&1/\sqrt{8}&-1/2 \\1/2&1/\sqrt{8}&1/2 \end{bmatrix}$ and $R=\begin{bmatrix} 2&8&7\\ 0&2\sqrt{2}&3\sqrt{2}\\ 0&0&6 \end{bmatrix}$

Work Step by Step

The three orthogonal columns that form the orthogonal basis for the columns space of the given matrix was found in exercise 12. $u_1=\begin{bmatrix} 1\\-1\\0\\1\\1 \end{bmatrix}$, $u_2=\begin{bmatrix} -1\\1\\2\\1\\1 \end{bmatrix}$, and $u_3=\begin{bmatrix} 1\\1\\0\\-1\\1 \end{bmatrix}$. To form the matrix Q, we need to normalize these vectors. $Q=\begin{bmatrix} 1/2&-1/\sqrt{8}&1/2 \\-1/2&1/\sqrt{8}&1/2 \\0&2/\sqrt{8}&0 \\1/2&1/\sqrt{8}&-1/2 \\1/2&1/\sqrt{8}&1/2 \end{bmatrix}$ $A=QR$ $R=Q^TA=\begin{bmatrix} 2&8&7\\ 0&2\sqrt{2}&3\sqrt{2}\\ 0&0&6 \end{bmatrix}$
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