Linear Algebra and Its Applications (5th Edition)

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

Chapter 1 - Linear Equations in Linear Algebra - 1.7 Exercises - Page 61: 5

Answer

Yes, these columns form a linearly independent set of vectors.

Work Step by Step

To see if the columns are linearly independent, we reduce the matrix to row echelon form: $\begin{bmatrix} 0&-8&5\\ 3&-7&4\\ -1&5&-4\\ 1&-3&2 \end{bmatrix}\sim \begin{bmatrix} 1&-3&2\\ 3&-7&4\\ -1&5&-4\\ 0&-8&5 \end{bmatrix}\sim \begin{bmatrix} 1&-3&2\\ 0&2&-2\\ 0&2&-2\\ 0&-8&5 \end{bmatrix} \sim \begin{bmatrix} 1&-3&2\\ 0&2&-2\\ 0&0&-3\\ 0&0&0 \end{bmatrix}$ Since every column of the row-equivalent echelon matrix has a pivot, there are no free variables, so the columns are linearly independent.
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