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We give a temporal ergodicity criterium for the solution of a class of infinite dimensional stochastic differential equations of gradient type, where the interaction has infinite range. We illustrate our theoretical result by typical examples.
We consider an infinite system of hard balls in undergoing Brownian motions
and submitted to a smooth pair potential.
It is modelized by an infinite-dimensional stochastic differential equation
with an infinite-dimensional local time term.
Existence and uniqueness of a strong solution is proven for such an equation
with fixed deterministic initial condition. We also show
that Gibbs measures are reversible measures.
We discuss various properties of Probabilistic Cellular Automata, such as the structure of the set of stationary measures and multiplicity of stationary measures (or phase transition) for reversible models.
We discuss various properties of Probabilistic Cellular Automata, such
as the structure of the set of stationary measures and multiplicity of
stationary measures (or phase transition) for reversible models.
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