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 63: 39

Answer

If $\mathbf{A}\vec{x}=\vec{b}$ has at most one solution for every vector $\vec{b}$ in $\mathbb{R}^{m}$, then $\mathbf{A}\vec{x}=\vec{0}$ must have exactly one solution (i.e., $\vec{x}=\vec{0}$), since every homogeneous linear system has the trivial solution. But $\mathbf{A}\vec{x}=x_{1}\vec{v}_{1}+x_{2}\vec{v}_{2}+...+x_{n}\vec{v}_{n}$, where the vectors $\vec{v}_{i}$ are the columns of $\mathbf{A}$; hence, the vector equation $x_{1}\vec{v}_{1}+x_{2}\vec{v}_{2}+...+x_{n}\vec{v}_{n}=\vec{0}$ has only the solution $x_{1}=x_{2}=...=x_{n}=0$. Therefore, by the definition of linear independence, the columns of $\mathbf{A}$ are linearly independent.

Work Step by Step

The definition of linear independence is given on page 57.
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