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: 11

Answer

$(i)\,Adj\,\mathbf{A} = \begin{bmatrix}0&1&0\\-5&-1&-5\\5&2&10\end{bmatrix}............Adjugate$ $(ii)\,\mathbf{A}^{-1}=\begin{bmatrix}0&\frac{1}{5}&0\\-1&-\frac{1}{5}&-1\\1&\frac{2}{5}&2\end{bmatrix}...........Inverse\,of\,the Matrix$

Work Step by Step

Given: $\mathbf{A} = \begin{bmatrix}0&-2&-1\\5&0&0\\-1&1&1\end{bmatrix}$ 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 cofactors of $\mathbf{A}$; $C_{11}=(+)\begin{vmatrix}0&0\\1&1\end{vmatrix}\,,C_{12}=(-)\begin{vmatrix}5&0\\-1&1\end{vmatrix}\,,C_{13}=(+)\begin{vmatrix}5&0\\-1&1\end{vmatrix}$ $C_{21}=(-)\begin{vmatrix}-2&-1\\1&1\end{vmatrix}\,,C_{22}=(+)\begin{vmatrix}0&-1\\-1&1\end{vmatrix}\,,C_{23}=(-)\begin{vmatrix}0&-2\\-1&1\end{vmatrix}$ $C_{31}=(+)\begin{vmatrix}-2&-1\\0&0\end{vmatrix}\,,C_{32}=(-)\begin{vmatrix}0&-1\\5&0\end{vmatrix}\,,C_{33}=(+)\begin{vmatrix}0&-2\\5&0\end{vmatrix}$ Finding the Matrix of the cofactors we have, Matrix of Co-factors =$\begin{bmatrix}0&-5&5\\1&-1&2\\0&-5&10\end{bmatrix}$ $Adj\,\mathbf{A} = \begin{bmatrix}0&-5&5\\1&-1&2\\0&-5&10\end{bmatrix}^T= \begin{bmatrix}0&1&0\\-5&-1&-5\\5&2&10\end{bmatrix}$ $\mathbf{A}^{-1}=\frac{1}{det\mathbf{A}}\times Adj\,\mathbf{A}................theorem\,8$ we first find $det\,\mathbf{A}$ using Co-factor expansion; $det\,\mathbf{A}=0-(-2)(5-0)+(-1)(5-0)=5$ therefore, $\mathbf{A}^{-1}=\frac{1}{5}\begin{bmatrix}0&1&0\\-5&-1&-5\\5&2&10\end{bmatrix}=\begin{bmatrix}0&\frac{1}{5}&0\\-1&-\frac{1}{5}&-1\\1&\frac{2}{5}&2\end{bmatrix}$
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