Linear Algebra and Its Applications (5th Edition)

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

Chapter 3 - Determinants - 3.3 Exercises - Page 186: 15

Answer

$Adj\,\mathbf{A} = \begin{bmatrix}-1&0&0\\-1&-5&0\\-1&-15&5\end{bmatrix}$ $\mathbf{A}^{-1}=\frac{1}{-5}\begin{bmatrix}-1&0&0\\-1&-5&0\\-1&-15&5\end{bmatrix}=\begin{bmatrix}0.2&0&0\\0.2&1&0\\0.2&3&-1 \end{bmatrix}$

Work Step by Step

Given the Matrix: $\mathbf{A} = \begin{bmatrix}5&0&0\\-1&1&0\\-2&3&-1\end{bmatrix}$ Using the following formula to find the adjugate; $Adj\,\mathbf{A}=\begin{bmatrix}C_{11}&C_{12}&C_{13}\\C_{21}&C_{22}&C_{23}\\C_{31}&C_{32}&C_{33}\end{bmatrix}^T$ $C_{ij}$ are the Matrix of minors; $C_{11}=(+)\begin{vmatrix}1&0\\3&-1\end{vmatrix}\,,C_{12}=(-)\begin{vmatrix}-1&0\\-2&-1\end{vmatrix}\,,C_{13}=(+)\begin{vmatrix}-1&1\\-2&3\end{vmatrix}$ $C_{21}=(-)\begin{vmatrix}0&0\\3&-1\end{vmatrix}\,,C_{22}=(+)\begin{vmatrix}5&0\\-2&-1\end{vmatrix}\,,C_{23}=(-)\begin{vmatrix}5&0\\-2&3\end{vmatrix}$ $C_{31}=(+)\begin{vmatrix}0&0\\1&0\end{vmatrix}\,,C_{32}=(-)\begin{vmatrix}5&0\\-1&0\end{vmatrix}\,,C_{33}=(+)\begin{vmatrix}5&0\\-1&1\end{vmatrix}$ Finding the Matrix of the cofactors we have, Matrix of Co-factors =$\begin{bmatrix}-1&-1&-1\\0&-5&-15\\0&0&5\end{bmatrix}$ $Adj\,\mathbf{A} =\begin{bmatrix}-1&-1&-1\\0&-5&-15\\0&0&5\end{bmatrix}^T= \begin{bmatrix}-1&0&0\\-1&-5&0\\-1&-15&5\end{bmatrix}$ $\mathbf{A}^{-1}=\frac{1}{det\mathbf{A}}\times Adj\,\mathbf{A}................theorem\,8$ we first find $det\,\mathbf{A}$ using Co-factor expansion; $det\,\mathbf{A}=5(-1\times1-0\times3)+0+0=-5$ therefore, $\mathbf{A}^{-1}=\frac{1}{-5}\begin{bmatrix}-1&0&0\\-1&-5&0\\-1&-15&5\end{bmatrix}=\begin{bmatrix}0.2&0&0\\0.2&1&0\\0.2&3&-1 \end{bmatrix}$
Update this answer!

You can help us out by revising, improving and updating this answer.

Update this answer

After you claim an answer you’ll have 24 hours to send in a draft. An editor will review the submission and either publish your submission or provide feedback.