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arXiv 1009.2228cond-mat.stat-mech
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Sierpinski垫片上团簇动力学的度规表征

Metric characterization of cluster dynamics on the Sierpinski gasket

Elena Agliari, Mario Casartelli, Edoardo Vivo

摘要:

我们开发并实现了一个算法的定量表征集群动态发生在元胞自动机上定义的任意结构。作为这样的系统的原型,我们专注于有限Sierpsinski垫片上的伊辛模型,这是已知的具有复杂的热力学行为。我们的算法需要将不断变化的配置投影到适当的分区空间中,在该空间中可以自然地定义和计算出基于信息的度量(洛林距离),以便检测集群的变化和稳定成分。分析突出了不同的温度制度的存在,根据集群的大小和变化率。这样的制度,反过来,相关长度和新兴的“临界”波动,与以前的热力学分析一致,从而提供了一个非平凡的几何描述的奇特的临界行为所表现出的系统。此外,在高温下,我们强调存在不同的时间尺度控制向混沌的演变。

英文摘要:

We develop and implement an algorithm for the quantitative characterization of cluster dynamics occurring on cellular automata defined on an arbitrary structure. As a prototype for such systems we focus on the Ising model on a finite Sierpsinski Gasket, which is known to possess a complex thermodynamic behavior. Our algorithm requires the projection of evolving configurations into an appropriate partition space, where an information-based metrics (Rohlin distance) can be naturally defined and worked out in order to detect the changing and the stable components of clusters. The analysis highlights the existence of different temperature regimes according to the size and the rate of change of clusters. Such regimes are, in turn, related to the correlation length and the emerging "critical" fluctuations, in agreement with previous thermodynamic analysis, hence providing a non-trivial geometric description of the peculiar critical-like behavior exhibited by the system. Moreover, at high temperatures, we highlight the existence of different time scales controlling the evolution towards chaos.

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