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 - 6.2 Exercises - Page 347: 28

Answer

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Work Step by Step

U is a square matrix whose columns are orthonormal and linearly independent. U is also invertible with $U^{-1}=U^T$. The rows of U, which are the columns of $U^T$ are orthonormal because $(U^T)^{-1}=(U^{-1})^T=(U^T)^T$. The inverse is equal to the transpose, so $U^T$ is an orthogonal matrix and its columns, which are the rows of U, form a basis for $R^n$.
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