Consider a random vector X'= (X₁, X2, X3) with mean vector μ = (1, 2, 3) and covariance matrix E. The eigenvalues of Σ are λ₁ 12, A₂= 6, A3 2 and the corresponding eigenvectors are 1/√3 2/√6 0 -(₁)-(-) (¹²) 1/√√/3 = 1/√√/2 e3 = 1/√√3 (a) Find Σ and trace(). (b) Find E and 2-1. (c) Find E-1/2 = -1/√6 "
Consider a random vector X'= (X₁, X2, X3) with mean vector μ = (1, 2, 3) and covariance matrix E. The eigenvalues of Σ are λ₁ 12, A₂= 6, A3 2 and the corresponding eigenvectors are 1/√3 2/√6 0 -(₁)-(-) (¹²) 1/√√/3 = 1/√√/2 e3 = 1/√√3 (a) Find Σ and trace(). (b) Find E and 2-1. (c) Find E-1/2 = -1/√6 "
Linear Algebra: A Modern Introduction
4th Edition
ISBN:9781285463247
Author:David Poole
Publisher:David Poole
Chapter7: Distance And Approximation
Section7.4: The Singular Value Decomposition
Problem 26EQ
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