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arXiv 1606.08050cond-mat.stat-mech
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从3维到7维的离散到连续渗流

From discrete to continuous percolation in dimensions 3 to 7

Zbigniew Koza, Jakub Poła

摘要:

我们提出了一种方法来研究连续渗流的对齐对象作为一个相应的离散模型的限制。我们证明了离散模型收敛到其连续极限是由幂律依赖性控制的,幂律依赖性具有普适指数$θ= 3/2$。这使我们能够估计连续渗流阈值的对齐超立方体的尺寸$d = 3,\ldots,7$的准确性远远优于使用任何其他方法之前达到的模型。我们还报告了改进的值的相关长度临界指数$ν$尺寸$d = 4,5$和几个通用的包装概率$d=4,\ldots,7$的值。

英文摘要:

We propose a method of studying the continuous percolation of aligned objects as a limit of a corresponding discrete model. We show that the convergence of a discrete model to its continuous limit is controlled by a power-law dependency with a universal exponent $θ= 3/2$. This allows us to estimate the continuous percolation thresholds in a model of aligned hypercubes in dimensions $d = 3,\ldots,7$ with accuracy far better than that attained using any other method before. We also report improved values of the correlation length critical exponent $ν$ in dimensions $d = 4,5$ and the values of several universal wrapping probabilities for $d=4,\ldots,7$.

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