101. Self-Organized States in Cellular Automata: Exact Solution
- Author
-
Mikhail V. Medvedev and Patrick Diamond
- Subjects
Markov process ,FOS: Physical sciences ,Physics - Classical Physics ,Astrophysics ,Stability (probability) ,symbols.namesake ,Statistical physics ,Condensed Matter - Statistical Mechanics ,Mathematics ,Statistical Mechanics (cond-mat.stat-mech) ,Spatial structure ,Cellular Automata and Lattice Gases (nlin.CG) ,Astrophysics (astro-ph) ,Fluid Dynamics (physics.flu-dyn) ,Classical Physics (physics.class-ph) ,Physics - Fluid Dynamics ,State (functional analysis) ,Natural sand ,Nonlinear Sciences - Adaptation and Self-Organizing Systems ,Physics - Plasma Physics ,Cellular automaton ,Plasma Physics (physics.plasm-ph) ,Exact solutions in general relativity ,symbols ,Nonlinear Sciences - Cellular Automata and Lattice Gases ,Adaptation and Self-Organizing Systems (nlin.AO) - Abstract
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., Comment: 4 pages (REVTeX), incl. 2 figures (PostScript)
- Published
- 1998
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