Probabilistic initial value problem for cellular automaton rule 172 - Inria - Institut national de recherche en sciences et technologies du numérique
Communication Dans Un Congrès Discrete Mathematics and Theoretical Computer Science Année : 2010

Probabilistic initial value problem for cellular automaton rule 172

Résumé

We present a method of solving of the probabilistic initial value problem for cellular automata (CA) using CA rule 172 as an example. For a disordered initial condition on an infinite lattice, we derive exact expressions for the density of ones at arbitrary time step. In order to do this, we analyze topological structure of preimage trees of finite strings of length 3. Level sets of these trees can be enumerated directly using classical combinatorial methods, yielding expressions for the number of $n$-step preimages of all strings of length 3, and, subsequently, probabilities of occurrence of these strings in a configuration obtained from the initial one after $n$ iterations of rule 172. The density of ones can be expressed in terms of Fibonacci numbers, while expressions for probabilities of other strings involve Lucas numbers. Applicability of this method to other CA rules is briefly discussed.
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Dates et versions

hal-01185497 , version 1 (20-08-2015)

Identifiants

Citer

Henryk Fuks. Probabilistic initial value problem for cellular automaton rule 172. Automata 2010 - 16th Intl. Workshop on CA and DCS, 2010, Nancy, France. pp.29-40, ⟨10.46298/dmtcs.2761⟩. ⟨hal-01185497⟩

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