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Topological estimation of percolation thresholds

Richard A Neher et al J. Stat. Mech. (2008) P01011   doi: 10.1088/1742-5468/2008/01/P01011  Help

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Richard A Neher1,3, Klaus Mecke2 and Herbert Wagner1
1 Arnold-Sommerfeld-Center for Theoretical Physics, LMU München, Theresienstrasse 37, 80333 München, Germany
2 Institut für Theoretische Physik, Universität Erlangen-Nürnberg, Staudtstraße 7, 91058 Erlangen, Germany
3 Present address: KITP, University of California, Santa Barbara, CA, USA
E-mail: neher@kitp.ucsb.edu, Klaus.Mecke@physik.uni-erlangen.de and Herbert.Wagner@physik.lmu.de

Abstract. 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.

Key words: topology and combinatorics; classical phase transitions (theory); percolation problems (theory)

E-print number: 0708.3250
Cited: by
Refers: to

Received 9 October 2007, accepted for publication 9 November 2007
Published 11 January 2008

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