Linear Algebra and Its Applications, 4th Edition

Published by Brooks Cole
ISBN 10: 0030105676
ISBN 13: 978-0-03010-567-8

Chapter 2 - Section 2.1 - Vector Spaces and Subspaces - Problem Set - Page 74: 3

Answer

(a) Column space of $A$ is the set of all combinations $\alpha.\begin{pmatrix}1\\0\end{pmatrix}$ , $\alpha \in \mathbb{R}$ , null space of $A$ consists of all combinations $\beta.\begin{pmatrix}0\\1\end{pmatrix}$ , $\beta \in \mathbb{R}$ . (b) Column space of $B$ is the set of all combinations $\alpha.\begin{pmatrix}0\\1\end{pmatrix}$+$\beta.\begin{pmatrix}3\\3\end{pmatrix}$ , $\alpha,\beta \in \mathbb{R}$ , null space of $B$ is zero . (c) Column space of $C$ is zero , null space of $C$ is $\mathbb{R}$ .

Work Step by Step

Idea is checking if the vectors in the column space are dependent or not so we can eliminate dependent one to construct space from independent ones . For the null space , it's solving system of equations by multiplying matrix with unknown vector and trying to get zero .
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