Iterative site percolation on triangular lattice

Ming Li, Youjin Deng
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Abstract

The site percolation on the triangular lattice stands out as one of the few exactly solved statistical systems. By initially configuring critical percolation clusters of this model and randomly reassigning the color of each percolation cluster, we obtain coarse-grained configurations by merging adjacent clusters that share the same color. It is shown that the process can be infinitely iterated in the infinite-lattice limit, leading to an iterative site percolation model. We conjecture from the self-matching argument that percolation clusters remain fractal for any finite generation, which can even take any positive real number by a generalized process. Extensive simulations are performed, and, from the generation-dependent fractal dimension, a continuous family of previously unknown universalities is revealed.

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三角形网格上的迭代点渗流
三角形晶格上的位点渗流是少数几个精确求解的统计系统之一。通过初始配置该模型的临界渗滤簇并随机重新分配每个渗滤簇的颜色,我们通过合并具有相同颜色的相邻簇来获得粗粒度配置。结果表明,在无限晶格极限中,这一过程可以无限迭代,从而产生了迭代站点渗滤模型。我们根据自匹配论证推测,渗滤簇在任何有限代中都是分形的,甚至可以通过广义过程取任何正实数。我们进行了大量的模拟,并从依赖于世代的分形维度中揭示了一个以前未知的连续普遍性家族。
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