Arithmetical complexity of the language of generic limit sets of cellular automata

IF 1.1 3区 计算机科学 Q1 BUSINESS, FINANCE
Solène J. Esnay , Alonso Núñez , Ilkka Törmä
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引用次数: 0

Abstract

The generic limit set of a dynamical system is the smallest set that attracts most of the space in a topological sense: it is the smallest closed set with a comeager basin of attraction. Introduced by Milnor, it has been studied in the context of one-dimensional cellular automata by Djenaoui and Guillon, Delacourt, and Törmä. In this article we present complexity bounds on realizations of generic limit sets of cellular automata with prescribed properties. We show that generic limit sets have a Π20 language if they are inclusion-minimal, a Σ10 language if the cellular automaton has equicontinuous points, and that these bounds are tight. We also prove that many chain mixing Π20 subshifts and all chain mixing Δ20 subshifts are realizable as generic limit sets. As a corollary, we characterize the minimal subshifts that occur as generic limit sets.

元胞自动机一般极限集语言的算术复杂度
动力系统的一般极限集是拓扑意义上吸引大部分空间的最小集:它是具有comeager吸引池的最小闭集。由Milnor介绍,Djenaoui和Guillon、Delacourt和Törmä在一维元胞自动机的背景下对其进行了研究。在本文中,我们给出了具有规定性质的元胞自动机的一般极限集的实现的复杂性界。我们证明了一般极限集如果是包含极小的,则有一个π20语言,如果元胞自动机有等连续点,则有∑10语言,并且这些边界是紧的。我们还证明了许多链混合π20子位移和所有链混合Δ20子位移作为一般极限集是可实现的。作为推论,我们将出现的最小子移位刻画为一般极限集。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Journal of Computer and System Sciences
Journal of Computer and System Sciences 工程技术-计算机:理论方法
CiteScore
3.70
自引率
0.00%
发文量
58
审稿时长
68 days
期刊介绍: The Journal of Computer and System Sciences publishes original research papers in computer science and related subjects in system science, with attention to the relevant mathematical theory. Applications-oriented papers may also be accepted and they are expected to contain deep analytic evaluation of the proposed solutions. Research areas include traditional subjects such as: • Theory of algorithms and computability • Formal languages • Automata theory Contemporary subjects such as: • Complexity theory • Algorithmic Complexity • Parallel & distributed computing • Computer networks • Neural networks • Computational learning theory • Database theory & practice • Computer modeling of complex systems • Security and Privacy.
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