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(Biased) Majority Rule Cellular Automata

Published 24 Nov 2017 in cs.FL, cs.DS, and nlin.CG | (1711.10920v1)

Abstract: Consider a graph G=(V,E)G=(V,E) and a random initial vertex-coloring, where each vertex is blue independently with probability pbp_{b}, and red with probability pr=1−pbp_r=1-p_b. 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 Tn,nT_{n,n}, there are two thresholds 0≤p1,p2≤10\leq p_1, p_2\leq 1 such that pb≪p1p_b \ll p_1, p1≪pb≪p2p_1 \ll p_b \ll p_2, and p2≪pbp_2 \ll p_b result in monochromatic configuration by red, stable coexistence of both colors, and monochromatic configuration by blue, respectively in O(n<sup>2)\mathcal{O}(n<sup>2) number of steps

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