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Journal of Physics C Solid State Physics

A large-cell renormalisation group calculation of the percolation conduction critical exponent

Christopher J. Lobb, David J. Frank

Published Nov 28, 1979• 65 citations
Publisher

Abstract

The authors employ a position-space renormalisation method, using square cells containing up to 365 bonds, to calculate the conduction critical exponent t for the two-dimensional random resistor network problem. Their results are consistent with t being equal to the cluster size critical exponent v.
DOI
10.1088/0022-3719/12/22/001

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Journal of Physics A Mathematical and General•Oct 1, 1978•8 citations
A recently developed renormalization group approach to two-dimensional bond percolation problems is generalized to deal with the percolation conductivity sigma of dilute resistor networks. The critical exponent t, defined by sigma (p) varies as (p-p c ) t , is related to an eigenvalue of the renormalization group transformation of conductance probability distributions. The transformation and eigenvalue are obtained for various real-space scalings of the square and triangular lattices, resulting in t=1.13+or-0.09. The Last-Kirkpatrick scaling relationship is used to obtain the critical exponent for spin-wave stiffness in the dilute ferromagnet.
We have determined the critical parameters for bond percolation on the square lattice using the recently developed large-cell renormalization-group method of Reynolds, Stanley, and Klein. The self-dual symmetry of our cells, which they share with the lattice itself, allows considerable simplification of the method and leads to rapid convergence toward the infinite-cell limit. We find that the scaling powers are given by ${y}_{p}=0.750\ifmmode\pm\else\textpm\fi{}0.005$ and ${y}_{h}=1.90\ifmmode\pm\else\textpm\fi{}0.017$. This leads, via scaling, to critical exponents $\ensuremath{\alpha}=\ensuremath{-}0.667\ifmmode\pm\else\textpm\fi{}0.018$, $\ensuremath{\beta}=0.133\ifmmode\pm\else\textpm\fi{}0.023$, $\ensuremath{\gamma}=2.400\ifmmode\pm\else\textpm\fi{}0.048$, $\ensuremath{\delta}=19.0\ifmmode\pm\else\textpm\fi{}3.4$, $\ensuremath{\nu}=1.333\ifmmode\pm\else\textpm\fi{}0.009$, and $\ensuremath{\eta}=0.200\ifmmode\pm\else\textpm\fi{}0.034$.
Calculating, by a Monte Carlo technique, the conductivities of small, two-dimensional, square, bond-percolation networks (4*4 to 50*50) at a limited number of probability values, from the critical region to full conductivity, the authors have been able to show, by an original interpolation technique, that in the critical region the conductivity function does indeed obey a universal, Fisher-type, finite-size scaling function. They further show that this technique permits them to deduce values of the critical exponents for both the conductivity and the correlation length, even from calculations on relatively small networks.