for this markov matrix [9/10 3/5 0] [1/10 3/10 1/2] [0 1/10 1/2] how could i show that the eigenvectors v1 = [30 5 1]¹ V2 = [−2, 1, 1]¹, and v3 = [3, −4, 1]¹ are linearly independent by confirming c1 = c2 = c3 = 0 is a unique solution to the sum from Σ-3(C₁) (V₂) = 0 in terms of a linear combination of a eigenvectors, Find the general solution to the stochastic process at the nth iteration

Linear Algebra: A Modern Introduction
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ISBN:9781285463247
Author:David Poole
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Chapter5: Orthogonality
Section5.3: The Gram-schmidt Process And The Qr Factorization
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for this markov matrix
[9/10 3/5 0]
[1/10 3/10 1/2]
[01/10 1/2]
how could i show that the eigenvectors v1 = [30 5 1]¹ V2 = [−2, 1, 1]¹, and v3 = [3,
-4, 1]¹ are linearly independent by confirming c1 = c2 = c3 = 0 is a unique
solution to the sum from Σ-3 (C₁) (V;) = 0
in terms of a linear combination of a eigenvectors, Find the general solution to
the stochastic process at the nth iteration
Transcribed Image Text:for this markov matrix [9/10 3/5 0] [1/10 3/10 1/2] [01/10 1/2] how could i show that the eigenvectors v1 = [30 5 1]¹ V2 = [−2, 1, 1]¹, and v3 = [3, -4, 1]¹ are linearly independent by confirming c1 = c2 = c3 = 0 is a unique solution to the sum from Σ-3 (C₁) (V;) = 0 in terms of a linear combination of a eigenvectors, Find the general solution to the stochastic process at the nth iteration
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