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: 22

Answer

The desired matrix is $\mathbf {A}=\mathbf {B^{-1}}$ Therefore $\mathbf {B^{-1}}$ is the matrix that implements the change of basis and is the coordinate mapping.

Work Step by Step

If we write $\mathbf { x }$ in terms of basis $b_{i}$ then we can find $c_{i}$ $\mathbf { x } = c _ { 1 } \mathbf { b } _ { 1 } + \cdots + c _ { n } \mathbf { b } _ { n }$ This can be written as: $x =\mathbf { B c}$ Since the columns of $\mathbf {B}$ are linearly independent, then to perform the transformation you can take the inverse of $\mathbf {B}$ on both sides. $c = \mathbf {B^{-1}x}$ The desired matrix is $\mathbf {A}=\mathbf {B^{-1}}$ Therefore $\mathbf {B^{-1}}$ is the matrix that implements the change of basis and is the coordinate mapping.
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