From discrete to continuous percolation in dimensions 3 to 7
arXiv:1606.08050 · doi:10.1088/1742-5468/2016/10/103206
Abstract
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 . This allows us to estimate the continuous percolation thresholds in a model of aligned hypercubes in dimensions with accuracy far better than that attained using any other method before. We also report improved values of the correlation length critical exponent in dimensions and the values of several universal wrapping probabilities for .
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