Let Q be an n x n orthogonal matrix. Let u € R" be an eigenvector of Q and define u² := {v € R¹¹\u • v = 0}. Show that if v is in u, then Qu is also in ut.

Linear Algebra: A Modern Introduction
4th Edition
ISBN:9781285463247
Author:David Poole
Publisher:David Poole
Chapter4: Eigenvalues And Eigenvectors
Section4.6: Applications And The Perron-frobenius Theorem
Problem 42EQ
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Let Q be an n x n orthogonal matrix. Let u € R" be an eigenvector of Q and define
u² := {v € R¹ | u • v = 0}.
Show that if v is in ut, then Qu is also in ut.
Transcribed Image Text:Let Q be an n x n orthogonal matrix. Let u € R" be an eigenvector of Q and define u² := {v € R¹ | u • v = 0}. Show that if v is in ut, then Qu is also in ut.
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