From the perspective of the large deviations theory of occupational measures, the paper considers Probabilistic Cellular Automata(PCA) as Markov chains on infinite dimensional space. It turns out that for a wide range of PCA, the corresponding Donsker–Varadhan action functional yields values other than infinity only on a narrow class of probability measures.
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Alexander Eizenberg (2026) studied this question.
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