Peierls Bounds from Toom Contours

Abstract For deterministic monotone cellular automata on the d -dimensional integer lattice, Toom has given necessary and sufficient conditions for the all-one fixed point to be stable against small random perturbations. The proof of sufficiency is based on an intricate Peierls argument. We present a simplified version of this Peierls argument. Our main motivation is the open problem of determining stability of monotone cellular automata with intrinsic randomness, in which for the unperturbed evolution the local update rules at different space-time points are chosen in an i.i.d. fashion according to some fixed law. We apply Toom’s Peierls argument to prove stability of a class of cellular automata with intrinsic randomness and also derive lower bounds on the critical parameter for some deterministic cellular automata.

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Publication Details

Journal
Journal of Theoretical Probability
Published
2026-05-11
DOI
https://doi.org/10.1007/s10959-026-01508-2
Primary Topic
Stochastic processes and statistical mechanics
Type
preprint
Field-Weighted Citation Impact
0.00

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preprint

Peierls Bounds from Toom Contours

Cristina Toninelli, Jan M. Swart, Réka Szabó
Journal of Theoretical Probability
Stochastic processes and statistical mechanics
preprint

Peierls Bounds from Toom Contours

Cristina Toninelli, Jan M. Swart, Réka Szabó
preprint en

Abstract

Abstract For deterministic monotone cellular automata on the d -dimensional integer lattice, Toom has given necessary and sufficient conditions for the all-one fixed point to be stable against small random perturbations. The proof of sufficiency is based on an intricate Peierls argument. We present a simplified version of this Peierls argument. Our main motivation is the open problem of determining stability of monotone cellular automata with intrinsic randomness, in which for the unperturbed evolution the local update rules at different space-time points are chosen in an i.i.d. fashion according to some fixed law. We apply Toom’s Peierls argument to prove stability of a class of cellular automata with intrinsic randomness and also derive lower bounds on the critical parameter for some deterministic cellular automata.

Journal of Theoretical ProbabilityVol. 39(3)
Centre National de la Recherche Scientifique (FR), University of Groningen (NL), Université Paris Sciences et Lettres (FR), École Normale Supérieure - PSL (FR), École Normale Supérieure (BI), Czech Academy of Sciences, Institute of Information Theory and Automation (CZ), Département de mathématiques et applications (FR), Université Paris Dauphine-PSL (FR)
Grantová Agentura České Republiky, European Research Council
Openalex Percentile: Top 99%
Stochastic processes and statistical mechanics
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