Ergodicity versus non-ergodicity for Probabilistic Cellular Automata on rooted trees
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2018
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Abstract
In this article we study a class of shift-invariant and positive rate probabilistic cellular automata (PCAs) on rooted d-regular trees Td. In a first result we extend the results of \cite{pca} on trees, namely we prove that to every stationary measure ν of the PCA we can associate a space-time Gibbs measure μν on Z×Td. Under certain assumptions on the dynamics the converse is also true. A second result concerns proving sufficient conditions for ergodicity and non-ergodicity of our PCA on d-ary trees for d∈{1,2,3} and characterizing the invariant Bernoulli product measures.
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Kimura, B, Ruszel, W M & Spitoni, C 2018, 'Ergodicity versus non-ergodicity for Probabilistic Cellular Automata on rooted trees', Markov Processes and Related Fields, vol. 25, no. 2, pp. 189-216. https://doi.org/10.48550/arXiv.1710.00084