Suppose X is a Gaussian random variable with mean u and covariance matrix D, in n dimensions. a. Let B be an n x n real matrix. The scalar random variable Y = X''BX is referred to as a quadratic form (in normal variables). Show that if B is not symmetric, its coefficients can be arranged into Y = X'AX where A is an n x n symmetric matrix. Find F(X'AX)

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1
Suppose X is a Gaussian random variable with mean u and covariance matrix E, in n
dimensions.
a. Let B be an n x n real matrix. The scalar random variable Y
to as a quadratic form (in normal variables). Show that if B is not symmetric,
its coefficients can be arranged into Y = X'AX where A is an n x n symmetric
X'BX is referred
matrix.
b. Find E(X'AX).
c. E(eX'AX)
Transcribed Image Text:Suppose X is a Gaussian random variable with mean u and covariance matrix E, in n dimensions. a. Let B be an n x n real matrix. The scalar random variable Y to as a quadratic form (in normal variables). Show that if B is not symmetric, its coefficients can be arranged into Y = X'AX where A is an n x n symmetric X'BX is referred matrix. b. Find E(X'AX). c. E(eX'AX)
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