Sharp Asymptotics for Stochastic Dynamics with Parallel Updating Rule
- 80 Downloads
In this paper we study the metastability problem for a stochastic dynamics with a parallel updating rule; in particular we consider a finite volume Probabilistic Cellular Automaton (PCA) in a small external field at low temperature regime. We are interested in the nucleation of the system, i.e., the typical excursion from the metastable phase (the configuration with all minuses) to the stable phase (the configuration with all pluses), triggered by the formation of a critical droplet. The main result of the paper is the sharp estimate of the nucleation time: we show that the nucleation time divided by its average converges to an exponential random variable and that the rate of the exponential random variable is an exponential function of the inverse temperature β times a prefactor that does not scale with β. Our approach combines geometric and potential theoretic arguments.
KeywordsStochastic dynamics Probabilistic cellular automata Metastability Potential theory Dirichlet form Capacity
Unable to display preview. Download preview PDF.
- 7.Bovier, A.: Metastability: a potential theoretic approach. In: Proceedings of ICM, 2006. EMS Publishing House, Zürich, pp. 499–518 (2006) Google Scholar
- 8.Bovier, A., Nardi, F.R., Spitoni, C.: Sharp asymptotics for stochastic dynamics with parallel updating rule with self-interaction. EURANDOM Report 2011-08 Google Scholar
- 13.Derrida, B.: Dynamical phase transition in spin models and automata. In: van Beijeren, H. (ed.) Fundamental Problems in Statistical Mechanics, vol. VII. Amsterdam, Elsevier (1990) Google Scholar