The inactive-active phase transition in the noisy additive (exclusive-or) probabilistic cellular automaton
arXiv:1506.08132 · doi:10.1142/S0129183116500169
Abstract
We investigate the inactive-active phase transition in an array of additive (exclusive-or) cellular automata under noise. The model is closely related with the Domany-Kinzel probabilistic cellular automaton, for which there are rigorous as well as numerical estimates on the transition probabilities. Here we characterize the critical behavior of the noisy additive cellular automaton by mean field analysis and finite-size scaling and show that its phase transition belongs to the directed percolation universality class of critical behavior. As a by-product of our analysis, we argue that the critical behavior of the noisy elementary CA 90 and 102 (in Wolfram's enumeration scheme) must be the same. We also perform an empirical investigation of the mean field equations to assess their quality and find that away from the critical point (but not necessarily very far away) the mean field approximations provide a reasonably good description of the dynamics of the PCA.
21 pages, 6 figures, 48 references. To appear in the Int. J. Mod. Phys. C (2016)
References in corpus (2)
Cited by in corpus (4)
- Phase transitions in random mixtures of elementary cellular automata
- Approximate probabilistic cellular automata for the dynamics of single-species populations under discrete logisticlike growth with and without weak Allee effects
- A probabilistic cellular automata model for the dynamics of a population driven by logistic growth and weak Allee effect
- Quantifying the noise in bursty gene expression under regulation by small RNAs