Linear Algebra and Its Applications (5th Edition)

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

Chapter 4 - Vector Spaces - 4.4 Exercises - Page 225: 30

Answer

There are two zero rows on the augmented reduced matrix, hence the given set of vectors is linearly dependent

Work Step by Step

Given Polynomial: $( 2 - t ) ^ { 3 } , ( 3 - t ) ^ { 2 } , 1 + 6 t - 5 t ^ { 2 } + t ^ { 3 }$ we need to convert the polynomials into vectors; By expanding we get; $\begin{matrix} ( 2 - t ) ^ { 3 } = 8 - 12 t + 6 t ^ { 2 } - t ^ { 3 } \\ ( 3 - t ) ^ { 2 } = 9 - 6 t + t ^ { 2 } \\ 1 + 6 t - 5 t ^ { 2 } + t ^ { 3 } = 1 + 6 t - 5 t ^ { 2 } + t ^ { 3 } \end{matrix}$ forming the vectors $8 - 12 t + 6 t ^ { 2 } - t ^ { 3 }=\begin{bmatrix}8\\-12\\6\\-1\end{bmatrix}$ $\,\,\,\,\,\,\,\,\,\,\,\,\,\,\,\,\,\,\,9 - 6 t + t ^ { 2 } =\begin{bmatrix}9\\-6\\1\\0\end{bmatrix}$ $\,\,\,\,\,\,1 + 6 t - 5 t ^ { 2 } + t ^ { 3 }=\begin{bmatrix}1\\6\\-5\\1\end{bmatrix}$ We combine an Augmented Matrix form the vectors and row reduce; $\begin{bmatrix}8&9&1&0\\{-12}&{-6}&6&0\\6&1&-5&0\\-1&0&1&0\end{bmatrix}\sim\begin{bmatrix}1&0&-1&0\\0&1&1&0\\0&0&0&0\\0&0&0&0\end{bmatrix}$ This show that there are two zero rows, hence the given set of vectors is linearly dependent
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