We consider $(X,Y,Z)$ a gaussian with mean $(1,2,1)$ and with covariance matrix:
$$ \begin{pmatrix} 1 & -2 & 1\\ -2 & 5 & -1\\ 1 & -1 & 2 \end{pmatrix} $$
I am asked to determine the support of $(X,Y,Z)$.
The solution says it is $3X + Y − Z = 4$. Where does this come from please?
If $\ W\ $ is a random vector with a multivariate normal distribution, mean $\ \mu\ $ and covariance matrix $\ \Sigma\ $, then the support of $\ W\ $ is \begin{align} \text{supp}(W)&=\mu+\mathcal{N}(\Sigma)^\perp\\ &=\mu+\mathcal{R}(\Sigma)\ , \end{align} where $\ \mathcal{N}(\Sigma)\ $ is the nullspace of $\ \Sigma\ $, and $\ \mathcal{R}(\Sigma)\ $ is its range.