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从指数尾到高斯尾:相变处的分形波前标度与κ-威布尔分布

From Exponential to Gaussian Tails: Fractal Wavefront Scaling and the $κ$-Weibull Distribution at Phase Transitions

O. V. Pavlovsky, M. Yu. Satleikin

arXiv 2607.28172首次发表:更新:

AI 中文总结

本文以元胞自动机建模活性介质,分析其临界演化的分形维数与涨落统计,发现临界区间内动力学由雪崩主导,涨落分布连接活动衰减与全填充活动波两种状态。

AI 中文摘要

本文研究了元胞自动机建模的活性介质中临界演化的特征。该系统遵循随机规则演化,呈现两种性质不同的动力学状态:活动衰减态与全填充活动波态。每种状态都有其自身的分形维数和涨落统计特征,两者均得到详细分析。在临界区间内,系统表现出非平凡的分形维数和连接两种状态的涨落分布,这种连接行为源于临界区间内动力学由雪崩主导。

英文摘要

The paper examines the features of critical evolution in an active medium modeled by a cellular automaton. The system evolves according to stochastic rules, exhibiting two qualitatively distinct dynamical regimes: one of fading activity and another of all-filling activity waves. Each regime is characterized by its own fractal dimension and fluctuation statistics, both of which are analyzed in detail. Within the critical interval, the system displays a nontrivial fractal dimension and a fluctuation distribution that bridges the two regimes. This bridging behavior arises because, in the critical interval, the dynamics are governed by avalanches.

Comments9 pages, 21 figures

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