In one and two dimensions, every stationary measure for a stochastic Ising Model is a Gibbs state
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It is shown that one and two dimensional (generalized) stochastic Ising models with finite range potentials have only Gibbs states as their stationary measures. This is true even if the stationary measure or the potential is not translation invariant. This extends previously known results which are restricted to translation invariant stationary measures and potentials. In particular if the potential has only one Gibbs state the stochastic Ising Model must be ergodic.
KeywordsNeural Network Statistical Physic Complex System Nonlinear Dynamics Stationary Measure
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