English

Nature of largest cluster size distribution at the percolation threshold

Disordered Systems and Neural Networks 2009-11-07 v1

Abstract

Two distinct distribution functions Psp(m)P_{sp}(m) and Pns(m)P_{ns}(m) of the scaled largest cluster sizes mm are obtained at the percolation threshold by numerical simulations, depending on the condition whether the lattice is actually spanned or not. With R(pc)R(p_c) the spanning probability, the total distribution of the largest cluster is given by Ptot(m)=R(pc)Psp(m)+(1R(pc))Pns(m)P_{tot}(m) = R(p_c)P_{sp}(m) + (1-R(p_c))P_{ns}(m). The three distributions apparently have similar forms in three and four dimensions while in two dimensions, Ptot(m)P_{tot}(m) does not follow a familiar form. By studying the first and second cumulants of the distribution functions, the different behaviour of Ptot(m)P_{tot}(m) in different dimensions may be quantified.

Cite

@article{arxiv.cond-mat/0109229,
  title  = {Nature of largest cluster size distribution at the percolation threshold},
  author = {Parongama Sen},
  journal= {arXiv preprint arXiv:cond-mat/0109229},
  year   = {2009}
}

Comments

7 pages revtex, figures included; to be published in J. Phys. A