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Topological estimation of percolation thresholds

Richard A Neher1,3, Klaus Mecke2 and Herbert Wagner1

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Global physical properties of random media change qualitatively at a percolation threshold, where isolated clusters merge to form one infinite connected component. The precise knowledge of percolation thresholds is thus of paramount importance. For two-dimensional lattice graphs, we use the universal scaling form of the cluster size distributions to derive a relation between the mean Euler characteristic of the critical percolation patterns and the threshold density pc. From this relation, we deduce a simple rule to estimate pc, which is remarkably accurate. We present some evidence that similar relations might hold for continuum percolation and percolation in higher dimensions.


Keywords

percolation problems (theory)

classical phase transitions (theory)

topology and combinatorics

 

E-print Number: 0708.3250

Cited: by |

Refers: to

PACS

05.50.+q Lattice theory and statistics (Ising, Potts, etc.)

MSC

82B27 Critical phenomena

82B20 Lattice systems (Ising, dimer, Potts, etc.) and systems on graphs

82B43 Percolation (See also 60K35)

Subjects

Statistical physics and nonlinear systems

Dates

Issue 01 (January 2008)

Received 9 October 2007, accepted for publication 9 November 2007

Published 11 January 2008



  1. Topological estimation of percolation thresholds

    Richard A Neher et al J. Stat. Mech. (2008) P01011

  2. Finding mesoscopic communities in sparse networks

    I Ispolatov et al J. Stat. Mech. (2006) P09014

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