Linear Algebra and Its Applications (5th Edition)

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

Chapter 3 - Determinants - 3.2 Exercises - Page 178: 26

Answer

The vectors are not linearly indepenent

Work Step by Step

Make $A$ be an $n \times n$ matrix. Theorem 4 says that $\operatorname{det}(A) \neq 0$ if and only if $f$ $A$ is invertible. The Invertible Matrix Theorem tells us that $A$ is invertible if and only if the columns of $A$ are linearly independent. So, we see that $\operatorname{det}(A) \neq 0$ if and only if the columns of $A$ are linearly independent. This then gives us a way to check if the given vectors are linearly independent: we make a matrix with these vectors as columns and check if the determinant of that matrix equals 0 or not. First, we'll expand along the fourth column: \[ \left|\begin{array}{cccc} 3 & 2 & -2 & 0 \\ 5 & -6 & -1 & 0 \\ -6 & 0 & 3 & 0 \\ 4 & 7 & 0 & -2 \end{array}\right|=-2\left|\begin{array}{ccc} 3 & 2 & -2 \\ 5 & -6 & -1 \\ -6 & 0 & 3 \end{array}\right| \] Then we'll row reduce, keeping track of how that changes the determinant: \[ \begin{array}{l} \begin{aligned} \Delta &=-2\left|\begin{array}{ccc} 3 & 2 & -2 \\ 5 & -6 & -1 \\ -6 & 0 & 3 \end{array}\right| \\ &=-2\left|\begin{array}{ccc} 3 & 2 & -2 \\ 5 & -6 & -1 \\ -1 & -6 & 2 \end{array}\right| \end{aligned} \\ = & \begin{array}{rl} -1 & -6 & 2 \\ 3 & 2 & -2 \\ 5 & -6 & -1 \end{array} \mid \\ & =2 \begin{array}{ll} -1 & -6 & 2 \\ 0 & -16 & 4 \\ 0 & -36 & 9 \end{array} \mid \\ & =2(-4)(-9)\left|\begin{array}{ccc} -1 & -6 & 2 \\ 0 & 4 & -1 \\ 0 & 4 & -1 \end{array}\right| \\ & =2(-4)(-9)\left|\begin{array}{ccc} -1 & -6 & 2 \\ 0 & 4 & -1 \\ 0 & 0 & 0 \end{array}\right| \\ & =2(-4)(-9)[(-1)(4)(0)] \end{array} \] since the determinant is equal to $0,$ we find that the 4 vectors are linear dependent
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