5. Let V be a finite dimensional vector space over F. Let T = L(V) be an operator such that T* = -T (these operators are sometimes called skew-adjoint). Prove that if A is an eigenvalue of T, then λ = 0 + bi for some bЄ R (i.e., A has no real part).

Elementary Linear Algebra (MindTap Course List)
8th Edition
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Author:Ron Larson
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Chapter7: Eigenvalues And Eigenvectors
Section7.1: Eigenvalues And Eigenvectors
Problem 60E: Define T:R2R2 by T(v)=projuv Where u is a fixed vector in R2. Show that the eigenvalues of A the...
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5. Let V be a finite dimensional vector space over F. Let T = L(V) be an operator such
that T* = -T (these operators are sometimes called skew-adjoint). Prove that if A is
an eigenvalue of T, then λ = 0 + bi for some bЄ R (i.e., A has no real part).
Transcribed Image Text:5. Let V be a finite dimensional vector space over F. Let T = L(V) be an operator such that T* = -T (these operators are sometimes called skew-adjoint). Prove that if A is an eigenvalue of T, then λ = 0 + bi for some bЄ R (i.e., A has no real part).
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