(1) 8. Let V be a finite-dimensional vector space over F, and let S and T be linear operators on V such that SoT = ToS (i.e. S and T commute). Let A EF be an eigenvalue for S. Show that the eigenspace N₁ = Ker(S-AI) is an invariant subspace of V for T, i.e. show that T(u) Є Nx for every u € Nx.
(1) 8. Let V be a finite-dimensional vector space over F, and let S and T be linear operators on V such that SoT = ToS (i.e. S and T commute). Let A EF be an eigenvalue for S. Show that the eigenspace N₁ = Ker(S-AI) is an invariant subspace of V for T, i.e. show that T(u) Є Nx for every u € Nx.
Elementary Linear Algebra (MindTap Course List)
8th Edition
ISBN:9781305658004
Author:Ron Larson
Publisher:Ron Larson
Chapter4: Vector Spaces
Section4.5: Basis And Dimension
Problem 69E: Find a basis for R2 that includes the vector (2,2).
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
Transcribed Image Text:(1) 8. Let V be a finite-dimensional vector space over F, and let S and T be linear operators on V
such that SoT = ToS (i.e. S and T commute). Let A EF be an eigenvalue for S. Show that the eigenspace
N₁ = Ker(S-AI) is an invariant subspace of V for T, i.e. show that T(u) Є Nx for every u € Nx.
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