Elementary Linear Algebra 7th Edition

Published by Cengage Learning
ISBN 10: 1-13311-087-8
ISBN 13: 978-1-13311-087-3

Chapter 2 - Matrices - 2.3 The Inverse of a Matrix - 2.3 Exercises - Page 71: 21

Answer

$$A^{-1}=\left[ \begin {array}{cccccc} 3.75& 0&- 1.25\\ 3.45&- 1.0&- 1.37 \\ 4.17& 0.0&- 2.5 \end {array} \right] .$$

Work Step by Step

To find $A^{-1}$, we have $$\left[ A \ \ I \right]= \left[ \begin {array}{cccccc} 0.6&0&- 0.3&1&0&0\\ 0.7&-1& 0.2&0&1&0\\ 1&0&- 0.9&0&0&1\end {array} \right] . $$ Using Gauss-Jordan elimination, we get the row-reduced echelon form as follows $$\left[I \ \ A^{-1} \right]=\left[ \begin {array}{cccccc} 1& 0& 0& 3.75& 0&- 1.25\\ 0& 1&0& 3.45&- 1.0&- 1.37 \\ 0& 0& 1& 4.17& 0.0&- 2.5 \end {array} \right] . $$ Then $A^{-1}$ is given by $$A^{-1}=\left[ \begin {array}{cccccc} 3.75& 0&- 1.25\\ 3.45&- 1.0&- 1.37 \\ 4.17& 0.0&- 2.5 \end {array} \right] .$$
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