Description of Stationary Probabilities of Some Markov Interaction Systems

Each point of an infinite $n$-dimensional lattice can be in one of $N$ states. The state of a point at instant $t$ depends randomly on the status of points in some neighborhood of it at a preceding point of time. Conditions are given under which the Markov chain describing the behavior of the system has an invariant Bernoulli measure.