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Stability of Cellular Automata Trajectories Revisited: Branching Walks and Lyapunov Profiles

机译:再论细胞自动机轨迹的稳定性:分支步行和李雅普诺夫轮廓

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摘要

We study non-equilibrium defect accumulation dynamics on a cellular automaton trajectory: a branching walk process in which a defect creates a successor on any neighborhood site whose update it affects. On an infinite lattice, defects accumulate at different exponential rates in different directions, giving rise to the Lyapunov profile. This profile quantifies instability of a cellular automaton evolution and is connected to the theory of large deviations. We rigorously and empirically study Lyapunov profiles generated from random initial states. We also introduce explicit and computationally feasible variational methods to compute the Lyapunov profiles for periodic configurations, thus developing an analog of Floquet theory for cellular automata.
机译:我们研究细胞自动机轨迹上的非平衡缺陷累积动力学:分支行走过程,其中缺陷在影响更新的任何邻域站点上创建后继。在无限晶格上,缺陷在不同方向上以不同的指数速率累积,从而产生了Lyapunov轮廓。该轮廓量化了细胞自动机进化的不稳定性,并且与大偏差理论相关。我们严格和经验地研究从随机初始状态生成的Lyapunov轮廓。我们还介绍了显式且在计算上可行的变分方法来计算Lyapunov轮廓的周期性配置,从而为细胞自动机开发了Floquet理论的类似物。

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