If v is an eigenvector of A, then ū is an eigenvector of A".

Linear Algebra: A Modern Introduction
4th Edition
ISBN:9781285463247
Author:David Poole
Publisher:David Poole
Chapter7: Distance And Approximation
Section7.4: The Singular Value Decomposition
Problem 29EQ
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To avoid any confusion, unless specified otherwise, vector spaces are complex vector spaces, inner products are complex inner-products, and matrices are complex matrices.

True or False:

 

If v is an eigenvector of A, then v is an eigenvector of A4.
Transcribed Image Text:If v is an eigenvector of A, then v is an eigenvector of A4.
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