English

Scaling for the Percolation Backbone

Statistical Mechanics 2009-10-31 v1 Disordered Systems and Neural Networks

Abstract

We study the backbone connecting two given sites of a two-dimensional lattice separated by an arbitrary distance rr in a system of size LL. We find a scaling form for the average backbone mass: <MB>LdBG(r/L)<M_B>\sim L^{d_B}G(r/L), where GG can be well approximated by a power law for 0x10\le x\le 1: G(x)xψG(x)\sim x^{\psi} with ψ=0.37±0.02\psi=0.37\pm 0.02. This result implies that <MB>LdBψrψ<M_B> \sim L^{d_B-\psi}r^{\psi} for the entire range 0<r<L0<r<L. We also propose a scaling form for the probability distribution P(MB)P(M_B) of backbone mass for a given rr. For rL,P(MB)r\approx L, P(M_B) is peaked around LdBL^{d_B}, whereas for rL,P(MB)r\ll L, P(M_B) decreases as a power law, MBτBM_B^{-\tau_B}, with τB1.20±0.03\tau_B\simeq 1.20\pm 0.03. The exponents ψ\psi and τB\tau_B satisfy the relation ψ=dB(τB1)\psi=d_B(\tau_B-1), and ψ\psi is the codimension of the backbone, ψ=ddB\psi=d-d_B.

Cite

@article{arxiv.cond-mat/9904062,
  title  = {Scaling for the Percolation Backbone},
  author = {Marc Barthelemy and S. V. Buldyrev and S. Havlin and H. E. Stanley},
  journal= {arXiv preprint arXiv:cond-mat/9904062},
  year   = {2009}
}

Comments

3 pages, 5 postscript figures, Latex/Revtex/multicols/epsf