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细胞自动机的拓扑灵敏度。

On the topological sensitivity of cellular automata.

机构信息

KERMIT, Department of Applied Mathematics, Biometrics and Process Control, Ghent University, Coupure links 653, Gent, Belgium.

出版信息

Chaos. 2011 Jun;21(2):023108. doi: 10.1063/1.3535581.

Abstract

Ever since the conceptualization of cellular automata (CA), much attention has been paid to the dynamical properties of these discrete dynamical systems, and, more in particular, to their sensitivity to the initial condition from which they are evolved. Yet, the sensitivity of CA to the topology upon which they are based has received only minor attention, such that a clear insight in this dependence is still lacking and, furthermore, a quantification of this so-called topological sensitivity has not yet been proposed. The lack of attention for this issue is rather surprising since CA are spatially explicit, which means that their dynamics is directly affected by their topology. To overcome these shortcomings, we propose topological Lyapunov exponents that measure the divergence of two close trajectories in phase space originating from a topological perturbation, and we relate them to a measure grasping the sensitivity of CA to their topology that relies on the concept of topological derivatives, which is introduced in this paper. The validity of the proposed methodology is illustrated for the 256 elementary CA and for a family of two-state irregular totalistic CA.

摘要

自从细胞自动机(CA)的概念被提出以来,人们一直关注这些离散动力系统的动力学特性,特别是它们对初始条件的敏感性,初始条件决定了它们的演化。然而,CA 对其基础拓扑结构的敏感性只受到了很少的关注,因此,人们对这种依赖性仍然缺乏清晰的认识,而且,还没有提出对这种所谓的拓扑敏感性的量化方法。人们对这个问题的关注不足是相当令人惊讶的,因为 CA 是空间显式的,这意味着它们的动力学直接受到拓扑结构的影响。为了克服这些缺点,我们提出了拓扑李雅普诺夫指数,用于测量来自拓扑扰动的两个接近轨迹在相空间中的发散,我们将它们与一个度量联系起来,这个度量捕捉了 CA 对其拓扑结构的敏感性,它依赖于拓扑导数的概念,这一概念在本文中被引入。所提出的方法的有效性通过 256 个基本 CA 和一族双态不规则全态 CA 得到了验证。

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