Monotone cellular automata in a random environment
B\'ela Bollob\'as, Paul Smith, and Andrew Uzzell

TL;DR
This paper provides a comprehensive classification and analysis of monotone cellular automata in random environments, focusing on bootstrap percolation models in two dimensions, and establishes phase transition behaviors without symmetry assumptions.
Contribution
It introduces a general framework for classifying and analyzing bootstrap percolation models in arbitrary dimensions, including phase transition results for critical and supercritical classes.
Findings
Critical probability for percolation is $(rac{ ext{log} n}{n})^{ ext{constant}}$ in critical models.
Supercritical models have percolation probability $n^{- ext{constant}}$.
First results on bootstrap percolation models with no symmetry assumptions.
Abstract
In this paper we study in complete generality the family of two-state, deterministic, monotone, local, homogeneous cellular automata in with random initial configurations. Formally, we are given a set of finite subsets of , and an initial set of `infected' sites, which we take to be random according to the product measure with density . At time , the set of infected sites is the union of and the set of all such that for some . Our model may alternatively be thought of as bootstrap percolation on with arbitrary update rules, and for this reason we call it -bootstrap percolation. In two dimensions, we give a classification of -bootstrap percolation…
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