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arxiv: cond-mat/9812161 · v1 · pith:7FFXZKN3new · submitted 1998-12-09 · ❄️ cond-mat.stat-mech · adap-org· astro-ph· comp-gas· nlin.AO· nlin.CG· physics.class-ph· physics.flu-dyn· physics.plasm-ph

Self-Organized States in Cellular Automata: Exact Solution

classification ❄️ cond-mat.stat-mech adap-orgastro-phcomp-gasnlin.AOnlin.CGphysics.class-phphysics.flu-dynphysics.plasm-ph
keywords automatacellularself-organizedstatesalmostdynamicsexactexactly
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The spatial structure, fluctuations as well as all state probabilities of self-organized (steady) states of cellular automata can be found (almost) exactly and {\em explicitly} from their Markovian dynamics. The method is shown on an example of a natural sand pile model with a gradient threshold.

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