4. Suppose A is the same matrix as the previous problem. (1) Compute ATA, and all eigenvalues and eigenvectors of AT A. Is AT A positive definite? (2) Compute AAT, and all eigenvalues and eigenvectors of AAT. Is AAT positive definite? (3) Use (1) and (2) to write down the SVD (Singular Value De- composition) for A. Verify that these eigenvectors exhibit the linear transformations A R4 R³ and AT R³ R4 both as simple stretching.

Advanced Engineering Mathematics
10th Edition
ISBN:9780470458365
Author:Erwin Kreyszig
Publisher:Erwin Kreyszig
Chapter2: Second-order Linear Odes
Section: Chapter Questions
Problem 1RQ
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A =
1-1
3 3
1 1
3 3
Transcribed Image Text:A = 1-1 3 3 1 1 3 3
Suppose A is the same matrix as the previous problem.
(1) Compute AT A, and all eigenvalues and eigenvectors of AT A. Is
AT A positive definite?
(2) Compute AAT, and all eigenvalues and eigenvectors of AAT. Is
AAT positive definite?
(3) Use (1) and (2) to write down the SVD (Singular Value De-
composition) for A. Verify that these eigenvectors exhibit the linear
transformations A R4 R³ and AT R³ R4 both as simple
stretching.
Transcribed Image Text:Suppose A is the same matrix as the previous problem. (1) Compute AT A, and all eigenvalues and eigenvectors of AT A. Is AT A positive definite? (2) Compute AAT, and all eigenvalues and eigenvectors of AAT. Is AAT positive definite? (3) Use (1) and (2) to write down the SVD (Singular Value De- composition) for A. Verify that these eigenvectors exhibit the linear transformations A R4 R³ and AT R³ R4 both as simple stretching.
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