Linear Algebra and Its Applications (5th Edition)

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

Chapter 6 - Orthogonality and Least Squares - 6.3 Exercises - Page 355: 21

Answer

a. True b. True c. False d. True e. True

Work Step by Step

a. z is orthogonal to 2 vectors that span the subspace W, so is also orthogonal to any linear combination of these two vectors b. The projection of y onto W is in W so y minus a vector in W is always perpendicular to W. True by the Orthogonal Decomposition Theorem and the fact that $y-proj_Wy$ is the orthogonal complement. c. The orthogonal projection of y onto a subspace W only depends on W and not on any particular basis. d. True e. $UU^Ty = proj_Wy = (y\cdot u_1)u_1 + ... + (y\cdot u_n)u_n$, where $u_1$ to $u_n$ are orthonormal.
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