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Percolation thresholds and fractal dimensions for square and cubic lattices with long-range correlated defects

机译:具有长程相关缺陷的正方形和立方晶格的逾渗阈值和分形维数

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摘要

We study long-range power-law correlated disorder on square and cubic lattices. In particular, we present high-precision results for the percolation thresholds and the fractal dimension of the largest clusters as a function of the correlation strength. The correlations are generated using a discrete version of the Fourier filtering method. We consider two different metrics to set the length scales over which the correlations decay, showing that the percolation thresholds are highly sensitive to such system details. By contrast, we verify that the fractal dimension d(f) is a universal quantity and unaffected by the choice of metric. We also show that for weak correlations, its value coincides with that for the uncorrelated system. In two dimensions we observe a clear increase of the fractal dimension with increasing correlation strength, approaching d(f) -> 2. The onset of this change does not seem to be determined by the extended Harris criterion.
机译:我们研究方形和立方晶格上的远程幂律相关无序。特别是,我们给出了渗透阈值和最大簇的分形维数作为相关强度函数的高精度结果。使用傅立叶滤波方法的离散版本生成相关性。我们考虑了两个不同的指标来设置相关性衰减的长度尺度,这表明渗透阈值对此类系统细节高度敏感。相比之下,我们验证分形维数d(f)是一个通用量,不受度量选择的影响。我们还表明,对于弱相关性,其值与不相关系统的值一致。在二维中,我们观察到分形维数随着相关强度的增加而明显增加,接近d(f)->2。这种变化的开始似乎并不由扩展的Har​​ris标准确定。

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