Prove the matrix version of the corollary to Theorem 5.5: If A ∈Mn×n(F) has n distinct eigenvalues, then A is diagonalizable. Theorem 5.5. Let T be a linear operator on a vector space V, and let λ1, λ2, . . . , λk be distinct eigenvalues of T. If v1, v2, . . . , vk are eigenvectors of T such that λi corresponds to vi(1≤i ≤k), then {v1, v2, . . . , vk} is linearly independent.
Prove the matrix version of the corollary to Theorem 5.5: If A ∈Mn×n(F) has n distinct eigenvalues, then A is diagonalizable. Theorem 5.5. Let T be a linear operator on a vector space V, and let λ1, λ2, . . . , λk be distinct eigenvalues of T. If v1, v2, . . . , vk are eigenvectors of T such that λi corresponds to vi(1≤i ≤k), then {v1, v2, . . . , vk} is linearly independent.
Linear Algebra: A Modern Introduction
4th Edition
ISBN:9781285463247
Author:David Poole
Publisher:David Poole
Chapter7: Distance And Approximation
Section7.1: Inner Product Spaces
Problem 11AEXP
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Prove the matrix version of the corollary to Theorem 5.5: If A ∈Mn×n(F) has n distinct eigenvalues, then A is diagonalizable.
Theorem 5.5. Let T be a linear operator on a
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