Let X be a Gaussian (µX, CX) random vector. Let Y = AX where A is an m ×n matrix of rank m. By Theorem 5.16, Y is a Gaussian random vector. Is a Gaussian random vector?
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Theorem 5.16
Given an n-dimensional Gaussian random vector X with expected valueµ X and covariance CX, and an m × n matrix A with rank(A) = m,
![](https://test.transtutors.com/qimg/7642781d-1897-49be-a478-ce8ada04f3f4.png)
Is an m-dimensional Gaussian random vector with expected value µY = AµX + b and covariance CY = ACXA'