an:06270945
Zbl 1302.82066
Lancia, Carlo; Scoppola, Benedetto
Equilibrium and non-equilibrium Ising models by means of PCA
EN
J. Stat. Phys. 153, No. 4, 641-653 (2013).
00326340
2013
j
82C20
Markov chains; probabilistic cellular automata; stationary distribution; equilibrium and non-equilibrium statistical mechanics
Summary: We propose a unified approach to reversible and irreversible pca dynamics, and we show that in the case of 1D and 2D nearest neighbor Ising systems with periodic boundary conditions we are able to compute the stationary measure of the dynamics also when the latter is irreversible. We also show how, according to \textit{P. Dai Pra} et al. [J. Stat. Phys. 149, No. 4, 722--737 (2012; Zbl 1264.82080)], the stationary measure is very close to the Gibbs for a suitable choice of the parameters of the PCA dynamics, both in the reversible and in the irreversible cases. We discuss some numerical aspects regarding this topic, including a possible parallel implementation.
Zbl 1264.82080