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: 14

Answer

$Adj\,\mathbf{A} = \begin{bmatrix}8&4&-5\\2&0&-1\\-4&-2&2\end{bmatrix}$ $\mathbf{A}^{-1}=\frac{1}{-2}\begin{bmatrix}8&4&-5\\2&0&-1\\-4&-2&2\end{bmatrix}=\begin{bmatrix}-4&-2&\frac{5}{2}\\-1&0&\frac{1}{2}\\2&1&-1 \end{bmatrix}$

Work Step by Step

Given the Matrix: $\mathbf{A} = \begin{bmatrix}1&-1&2\\0&2&1\\2&0&4\end{bmatrix}$ 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; $C_{11}=(+)\begin{vmatrix}2&1\\0&4\end{vmatrix}\,,C_{12}=(-)\begin{vmatrix}0&1\\2&4\end{vmatrix}\,,C_{13}=(+)\begin{vmatrix}0&2\\2&0\end{vmatrix}$ $C_{21}=(-)\begin{vmatrix}-1&2\\0&4\end{vmatrix}\,,C_{22}=(+)\begin{vmatrix}1&2\\2&4\end{vmatrix}\,,C_{23}=(-)\begin{vmatrix}1&-1\\2&0\end{vmatrix}$ $C_{31}=(+)\begin{vmatrix}-1&2\\2&1\end{vmatrix}\,,C_{32}=(-)\begin{vmatrix}1&2\\0&1\end{vmatrix}\,,C_{33}=(+)\begin{vmatrix}1&-1\\0&2\end{vmatrix}$ Finding the Matrix of the cofactors we have, Matrix of Co-factors =$\begin{bmatrix}8&2&-4\\4&0&-2\\-5&-1&2\end{bmatrix}$ $Adj\,\mathbf{A} =\begin{bmatrix}8&2&-4\\4&0&-2\\-5&-1&2\end{bmatrix}^T= \begin{bmatrix}8&4&-5\\2&0&-1\\-4&-2&2\end{bmatrix}$ $\mathbf{A}^{-1}=\frac{1}{det\mathbf{A}}\times Adj\,\mathbf{A}................theorem\,8$ we first find $det\,\mathbf{A}$ using Co-factor expansion; $det\,\mathbf{A}=1(2\times4-1\times0)+1(0\times4-1\times2)+2(0\times0-2\times2)=-2$ therefore, $\mathbf{A}^{-1}=\frac{1}{-2}\begin{bmatrix}8&4&-5\\2&0&-1\\-4&-2&2\end{bmatrix}=\begin{bmatrix}-4&-2&\frac{5}{2}\\-1&0&\frac{1}{2}\\2&1&-1 \end{bmatrix}$
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