Periodic solutions of one-dimensional cellular automata with uniformly chosen random rules
The electronic journal of combinatorics, Tome 28 (2021) no. 4
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We study cellular automata whose rules are selected uniformly at random. Our setting are two-neighbor one-dimensional rules with a large number $n$ of states. The main quantity we analyze is the asymptotic distribution, as $n \to \infty$, of the number of different periodic solutions with given spatial and temporal periods. The main tool we use is the Chen-Stein method for Poisson approximation, which establishes that the number of periodic solutions, with their spatial and temporal periods confined to a finite range, converges to a Poisson random variable with an explicitly given parameter. The limiting probability distribution of the smallest temporal period for a given spatial period is deduced as a corollary and relevant empirical simulations are presented.
DOI : 10.37236/10114
Classification : 68Q80, 37B15, 60K35
Mots-clés : cellular automata, periodicity, convergence in distribution

Janko Gravner  1   ; Xiaochen Liu  1

1 University of California, Davis
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     title = {Periodic solutions of one-dimensional cellular automata with uniformly chosen random rules},
     journal = {The electronic journal of combinatorics},
     year = {2021},
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Janko Gravner; Xiaochen Liu. Periodic solutions of one-dimensional cellular automata with uniformly chosen random rules. The electronic journal of combinatorics, Tome 28 (2021) no. 4. doi: 10.37236/10114

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