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A study on the composition of elementary cellular automata

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arxiv 2305.02947 v1 pith:5CGAENHK submitted 2023-05-04 nlin.CG cs.FL

classification nlin.CGcs.FL
keywords cellularautomatacompositionone-dimensionalsemigroupscirccompositionselementary
verification ladder T0 review T1 audit T2 compute T3 formal

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abstract

Elementary cellular automata (ECA) are one-dimensional discrete models of computation with a small memory set that have gained significant interest since the pioneer work of Stephen Wolfram, who studied them as time-discrete dynamical systems. Each of the 256 ECA is labeled as rule $X$, where $X$ is an integer between $0$ and $255$. An important property, that is usually overlooked in computational studies, is that the composition of any two one-dimensional cellular automata is again a one-dimensional cellular automaton. In this chapter, we begin a systematic study of the composition of ECA. Intuitively speaking, we shall consider that rule $X$ has low complexity if the compositions $X \circ Y$ and $Y \circ X$ have small minimal memory sets, for many rules $Y$. Hence, we propose a new classification of ECA based on the compositions among them. We also describe all semigroups of ECA (i.e., composition-closed sets of ECA) and analyze their basic structure from the perspective of semigroup theory. In particular, we determine that the largest semigroups of ECA have $9$ elements, and have a subsemigroup of order $8$ that is $\mathcal{R}$-trivial, property which has been recently used to define random walks and Markov chains over semigroups.

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Cited by 1 Pith paper

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score. Full citation record

  1. Frequency-Histogram Coarse Graining in Elementary Cellular Automata and 2D CA

    nlin.CG 2025-07 reject novelty 3.0 of 10

    A systematic atlas of frequency-histogram coarse graining for 88 elementary cellular automata rules and two 2D rules, but the appendix is corrupted and the evaluation is qualitative.

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