Linear Algebra: A Modern Introduction

Published by Cengage Learning
ISBN 10: 1285463242
ISBN 13: 978-1-28546-324-7

Chapter 4 - Eigenvalues and Eigenvectors - 4.2 Determinants - Exercises 4.2 - Page 281: 14

Answer

8

Work Step by Step

First, use cofactor expansion (Theorem 4.1) along the second column because that is the row/column with the most zeros: \[ \begin{vmatrix} 2 & 0 & 3 & -1\\1 & 0 & 2 & 2\\0 & -1 & 1 & 4\\2 & 0 & 1 & -3 \end{vmatrix} = -0 \cdot \begin{vmatrix} 1 & 2 & 2\\0 & 1 & 4\\2 & 1 & -3 \end{vmatrix} +0 \cdot \begin{vmatrix} 2 & 3 & -1\\0 & 1 & 4\\2 & 1 & -3 \end{vmatrix} -(-1) \cdot \begin{vmatrix} 2 & 3 & -1\\1 & 2 & 2\\2 & 1 & -3 \end{vmatrix} +0 \cdot \begin{vmatrix} 2 & 3 & -1\\1 & 2 & 2\\0 & 1 & 4 \end{vmatrix} \] Then simplify the expansion: $=0 + 0 + 1 \cdot \begin{vmatrix} 2 & 3 & -1\\1 & 2 & 2\\2 & 1 & -3 \end{vmatrix} +0$ Now expand along the first row: =$2 \cdot \begin{vmatrix} 2 & 2\\1 & -3 \end{vmatrix} -3 \cdot \begin{vmatrix} 1 & 2\\2 & -3 \end{vmatrix} -1 \cdot \begin{vmatrix} 1 & 2\\2 & 1 \end{vmatrix}$ Lastly, simplify the expansion: $=2 \cdot (-6-2) - 3 \cdot (-3-4) - 1 \cdot (1 - 4 ))$ $=(2 \cdot -8)- (3 \cdot -7) - (1 \cdot-3)$ $=-16+21+3$ $=8$
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