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Universal fractality of morphological transitions in stochastic growth processes

机译:随机生长过程中形态转变的普遍分形

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摘要

Stochastic growth processes give rise to diverse and intricate structures everywhere in nature, often referred to as fractals. In general, these complex structures reflect the non-trivial competition among the interactions that generate them. In particular, the paradigmatic Laplacian-growth model exhibits a characteristic fractal to non-fractal morphological transition as the non-linear effects of its growth dynamics increase. So far, a complete scaling theory for this type of transitions, as well as a general analytical description for their fractal dimensions have been lacking. In this work, we show that despite the enormous variety of shapes, these morphological transitions have clear universal scaling characteristics. Using a statistical approach to fundamental particle-cluster aggregation, we introduce two non-trivial fractal to non-fractal transitions that capture all the main features of fractal growth. By analyzing the respective clusters, in addition to constructing a dynamical model for their fractal dimension, we show that they are well described by a general dimensionality function regardless of their space symmetry-breaking mechanism, including the Laplacian case itself. Moreover, under the appropriate variable transformation this description is universal, i.e., independent of the transition dynamics, the initial cluster configuration, and the embedding Euclidean space.
机译:随机生长过程会在自然界各处产生多样化和复杂的结构,通常称为分形。通常,这些复杂的结构反映了生成它们的交互之间的平凡竞争。特别地,随着其生长动力学的非线性影响的增加,范式Laplacian-growth模型表现出特征性的分形到非分形形态过渡。到目前为止,对于这种类型的跃迁,缺乏完整的定标理论以及对它们的分形维数的一般分析描述。在这项工作中,我们表明,尽管形状多样,但这些形态转换具有明显的通用缩放特征。使用基本粒子群聚集的统计方法,我们介绍了两个不平凡的分形到非分形过渡,它们捕获了分形增长的所有主要特征。通过分析各个聚类,除了为它们的分形维构建动力学模型外,我们还表明,无论它们的空间对称性破坏机制是什么(包括拉普拉斯算例本身),它们都可以由通用维函数很好地描述。此外,在适当的变量变换下,该描述是通用的,即独立于过渡动力学,初始聚类配置和嵌入欧几里得空间。

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