Finite size stability analysis for stochastic cellular automata

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Abstract

Real simulations are performed on a finite size of lattice. It is therefore very difficult to predict a phase diagram on an infinitely large lattice. Here, we present a Finite Size Stability Analysis (FSSA) to know whether the phase is sustainable or not. Although this analysis is a hypothesis, it enables us to determine the boundary of phase diagram. We apply FSSA to multi-state system. For example we study ten-species system in ecology. From computer simulations on various sizes of lattices, we obtain the waiting time τ to extinction. The system is found to have two phases: the coexistence of all species is either unstable or marginally (neutrally) stable. In the latter case, τ diverges on a power law with the increase of lattice size. © 2008 Springer-Verlag Berlin Heidelberg.

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Sakisaka, Y., Iwamura, Y., Nakagiri, N., Yoshimura, J., & Tainaka, K. I. (2008). Finite size stability analysis for stochastic cellular automata. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 5191 LNCS, pp. 228–235). https://doi.org/10.1007/978-3-540-79992-4_29

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