Linear Algebra and Its Applications (5th Edition)

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

Chapter 4 - Vector Spaces - 4.3 Exercises - Page 215: 2

Answer

The set of vectors cannot be linearly independent due to the presence of the zero vector Case 1: The set does not form a basis. Case 2: Since $M$ is not invertible the columns cannot span $R^3$

Work Step by Step

From the given Vectors; $\begin{bmatrix}1\\0\\1\end{bmatrix},\begin{bmatrix}0\\0\\0\end{bmatrix},\begin{bmatrix}0\\1\\0\end{bmatrix}$ We need to inspect the vectors to determine which sets in bases for $R^3$ The set of vectors cannot be linearly independent due to the presence of the zero vector Case 1: The set does not form a basis. We can row reduce the matrix by combining the vectors to form a Matrix $M$. let ${R_3} = {R_3} - {R_1}$ $M = \begin{bmatrix}1&0&0\\0&0&1\\1&0&0\end{bmatrix}=\begin{bmatrix}1&0&0\\0&0&1\\0&0&0\end{bmatrix}$ From this result we can see that the Matrix has only two Pivot points. Case 2: Since $M$ is not invertible the columns cannot span $R^3$
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