Basic Ideas to Approach Metastability in Probabilistic Cellular Automata
Statistical Mechanics
2016-07-06 v1
Abstract
Cellular Automata are discrete--time dynamical systems on a spatially extended discrete space which provide paradigmatic examples of nonlinear phenomena. Their stochastic generalizations, i.e., Probabilistic Cellular Automata, are discrete time Markov chains on lattice with finite single--cell states whose distinguishing feature is the \textit{parallel} character of the updating rule. We review some of the results obtained about the metastable behavior of Probabilistic Cellular Automata and we try to point out difficulties and peculiarities with respect to standard Statistical Mechanics Lattice models.
Cite
@article{arxiv.1607.01289,
title = {Basic Ideas to Approach Metastability in Probabilistic Cellular Automata},
author = {Emilio N. M. Cirillo and Francesca R. Nardi and Cristian Spitoni},
journal= {arXiv preprint arXiv:1607.01289},
year = {2016}
}
Comments
arXiv admin note: text overlap with arXiv:1307.8234