#iid matrix distribution
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Basically $Y_i=A_{ij}X_j$ (summation convention applies, so we're summing over $j$) This gives you a sum of independent normal random variables. Then, you can use, for example, moment generating function to show that $Y_i$ is normal with some mean and variance.