Emergent Mind

(Biased) Majority Rule Cellular Automata

(1711.10920)
Published Nov 24, 2017 in cs.FL , cs.DS , and nlin.CG

Abstract

Consider a graph $G=(V,E)$ and a random initial vertex-coloring, where each vertex is blue independently with probability $p{b}$, and red with probability $pr=1-pb$. In each step, all vertices change their current color synchronously to the most frequent color in their neighborhood and in case of a tie, a vertex conserves its current color; this model is called majority model. If in case of a tie a vertex always chooses blue color, it is called biased majority model. We are interested in the behavior of these deterministic processes, especially in a two-dimensional torus (i.e., cellular automaton with (biased) majority rule). In the present paper, as a main result we prove both majority and biased majority cellular automata exhibit a threshold behavior with two phase transitions. More precisely, it is shown that for a two-dimensional torus $T{n,n}$, there are two thresholds $0\leq p1, p2\leq 1$ such that $pb \ll p1$, $p1 \ll pb \ll p2$, and $p2 \ll p_b$ result in monochromatic configuration by red, stable coexistence of both colors, and monochromatic configuration by blue, respectively in $\mathcal{O}(n2)$ number of steps

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