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Approximating dynamics of a number-conserving cellular automaton by a finite-dimensional dynamical system

Henryk Fukś and Yucen Jin ()
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Henryk Fukś: Department of Mathematics and Statistics, Brock University, St. Catharines, ON L2S3A1, Canada
Yucen Jin: Department of Mathematics and Statistics, Brock University, St. Catharines, ON L2S3A1, Canada

International Journal of Modern Physics C (IJMPC), 2020, vol. 31, issue 12, 1-18

Abstract: The local structure theory for cellular automata (CA) can be viewed as an finite-dimensional approximation of infinitely dimensional system. While it is well known that this approximation works surprisingly well for some CA, it is still not clear why it is the case, and which CA rules have this property. In order to shed some light on this problem, we present an example of a four input CA for which probabilities of occurrence of short blocks of symbols can be computed exactly. This rule is number conserving and possesses a blocking word. Its local structure approximation correctly predicts steady-state probabilities of small length blocks, and we present a rigorous proof of this fact, without resorting to numerical simulations. We conjecture that the number-conserving property together with the existence of the blocking word are responsible for the observed perfect agreement between the finite-dimensional approximation and the actual infinite-dimensional dynamical system.

Keywords: Cellular automata; mean field; local structure; additive invariants (search for similar items in EconPapers)
Date: 2020
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DOI: 10.1142/S0129183120501727

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