  We demonstrate the parallel between the properties of Gaussian vectors and
the Euclidean geometry. In particular we study the Markov property and give
various equivalent Euclidean and probabilistic characterizations. We also give
a simple Euclidean proof of the conditional maximality of the differential
entropy for the Markov Gaussian vector (related to the Burg's Theorem).
