Universality for monotone cellular automata
Paul Balister, B\'ela Bollob\'as, Robert Morris, Paul Smith

TL;DR
This paper introduces a general method to analyze the growth of infected regions in monotone cellular automata, providing sharp bounds on percolation thresholds and supporting the Universality Conjecture across models.
Contribution
Develops a universal bounding technique for infected set growth in monotone cellular automata, confirming the Universality Conjecture for critical models.
Findings
Established a lower bound on the critical probability for percolation.
Proved bounds are sharp up to a constant factor in the exponent.
Supported the Universality Conjecture through rigorous analysis.
Abstract
In this paper we study monotone cellular automata in dimensions. We develop a general method for bounding the growth of the infected set when the initial configuration is chosen randomly, and then use this method to prove a lower bound on the critical probability for percolation that is sharp up to a constant factor in the exponent for every 'critical' model. This is one of three papers that together confirm the Universality Conjecture of Bollob\'as, Duminil-Copin, Morris and Smith.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsCellular Automata and Applications · Stochastic processes and statistical mechanics · Markov Chains and Monte Carlo Methods
