The Largest Cluster in Subcritical Percolation
arXiv:cond-mat/9905191 · doi:10.1103/PhysRevE.62.1660
Abstract
The statistical behavior of the size (or mass) of the largest cluster in subcritical percolation on a finite lattice of size is investigated (below the upper critical dimension, presumably ). It is argued that as the cumulative distribution function converges to the Fisher-Tippett (or Gumbel) distribution in a certain weak sense (when suitably normalized). The mean grows like , where is a ``crossover size''. The standard deviation is bounded near with persistent fluctuations due to discreteness. These predictions are verified by Monte Carlo simulations on square lattices of up to 30 million sites, which also reveal finite-size scaling. The results are explained in terms of a flow in the space of probability distributions as . The subcritical segment of the physical manifold () approaches a line of limit cycles where the flow is approximately described by a ``renormalization group'' from the classical theory of extreme order statistics.
16 pages, 5 figs, expanded version to appear in Phys Rev E
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