A generalization of the notion of a stationary Markov chain in more th
an one dimension is proposed, and is found to be a special class of ho
mogeneous Markov random fields. Stationary Markov chains in many dimen
sions are shown to possess a maximum entropy property, analogous to th
e corresponding property for Markov chains in one dimension. In additi
on, a representation of Markov chains in many dimensions is provided,
together with a method for their generation that converges to their st
ationary distribution.