Differential Equations and Linear Algebra (4th Edition)

Published by Pearson
ISBN 10: 0-32196-467-5
ISBN 13: 978-0-32196-467-0

Chapter 5 - Inner Product Spaces - 5.4 Least Squares Approximation - True-False Review - Page 375: e

Answer

True

Work Step by Step

From the definition we know the linear system $Ax_0=b$ is obtained when $b− Ax_0$ orthogonal to every vector in colspace (A). Therefore for every vector $b$ in $R^m$, applying the projection matrix P for the linear system $Ax = b$ to the vector $b$ results in $a$ vector that lies in colspace(A).
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