(4) Let V be a finite-dimensional vector space over F, let T E L(V), and let W be a subspace of V invariant under T. Let v E V and A E F. Suppose that v is not contained in W. Prove that if Tv = lo + w for some w E W, then A is an eigenvalue of T.
(4) Let V be a finite-dimensional vector space over F, let T E L(V), and let W be a subspace of V invariant under T. Let v E V and A E F. Suppose that v is not contained in W. Prove that if Tv = lo + w for some w E W, then A is an eigenvalue of T.
Linear Algebra: A Modern Introduction
4th Edition
ISBN:9781285463247
Author:David Poole
Publisher:David Poole
Chapter6: Vector Spaces
Section6.6: The Matrix Of A Linear Transformation
Problem 43EQ
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