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In a singular value decomposition of matrix A = 0.0 -0.71 0.71 0.0 V = U = -0.71 0.41 0.0 0.82 0.0 0.71 0.41 0.5 -0.5 -0.5 0.0 0.5 Ex: 1.23 -1 -1 0 -1 -1 2 what is U? with Σ = 2.83 0 0 0 2.0 O 0 :] and

In a singular value decomposition of matrix A = 0.0 -0.71 0.71 0.0 V = U = -0.71 0.41 0.0 0.82 0.0 0.71 0.41 0.5 -0.5 -0.5 0.0 0.5 Ex: 1.23 -1 -1 0 -1 -1 2 what is U? with Σ = 2.83 0 0 0 2.0 O 0 :] and

Linear Algebra: A Modern Introduction
Linear Algebra: A Modern Introduction
4th Edition
ISBN:9781285463247
Author:David Poole
Publisher:David Poole
Chapter4: Eigenvalues And Eigenvectors
Section4.4: Similarity And Diagonalization
Problem 6EQ
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In a singular value decomposition of matrix A = V = U = 0.5 -0.5 -0.5 0.5 -0.71 0.41 0.0 0.0 0.82 -0.71 0.0 0.0 0.71 0.71 0.41 0.0 Ex: 1.23 2 -1 -1 0 0 -1 -1 2 what is U? with Σ = 2.83 0 000 2.0 O 0 and
Transcribed Image Text:In a singular value decomposition of matrix A = V = U = 0.5 -0.5 -0.5 0.5 -0.71 0.41 0.0 0.0 0.82 -0.71 0.0 0.0 0.71 0.71 0.41 0.0 Ex: 1.23 2 -1 -1 0 0 -1 -1 2 what is U? with Σ = 2.83 0 000 2.0 O 0 and
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