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Physical review. B, Condensed matter

Large-cell Monte Carlo renormalization group for percolation

PETER J. REYNOLDS, Eugene Stanley, W. Klein

Published Feb 1, 1980• 457 citations
Publisher

Abstract

We obtain the critical parameters for the site-percolation problem on the square lattice to a high degree of accuracy (comparable to that of series expansions) by using a Monte Carlo position-space renormalization-group procedure directly on the site-occupation probability. Our method involves calculating recursion relations using progressively larger lattice rescalings, $b$. We find smooth sequences for the value of the critical percolation concentration ${p}_{c}(b)$ and for the scaling powers ${y}_{p}(b)$ and ${y}_{h}(b)$. Extrapolating these sequences to the limit $b\ensuremath{\rightarrow}\ensuremath{\infty}$ leads to quite accurate numerical predictions. Further, by considering other weight functions or "rules" which also embody the essential connectivity feature of percolation, we find that the numerical results in the infinite-cell limit are in fact "rule independent." However, the actual fashion in which this limit is approached does depend upon the rule chosen. A connection between extrapolation of our renormalization-group results and finite-size scaling is made. Furthermore, the usual finite-size scaling arguments lead to independent estimates of ${p}_{c}$ and ${y}_{p}$. Combining both the large-cell approach and the finite-size scaling results, we obtain ${y}_{p}=0.7385\ifmmode\pm\else\textpm\fi{}0.0080$ and ${y}_{h}=1.898\ifmmode\pm\else\textpm\fi{}0.003$. Thus we find ${\ensuremath{\alpha}}_{p}=\ensuremath{-}0.708\ifmmode\pm\else\textpm\fi{}0.030$, ${\ensuremath{\beta}}_{p}=0.138(+0.006,\ensuremath{-}0.005)$, ${\ensuremath{\gamma}}_{p}=2.432\ifmmode\pm\else\textpm\fi{}0.035$, ${\ensuremath{\delta}}_{p}=18.6\ifmmode\pm\else\textpm\fi{}0.6$, ${\ensuremath{\nu}}_{p}=1.354\ifmmode\pm\else\textpm\fi{}0.015$, and $2\ensuremath{-}{\ensuremath{\eta}}_{p}=1.796\ifmmode\pm\else\textpm\fi{}0.006$. The site-percolation threshold is found for the square lattice at ${p}_{c}=0.5931\ifmmode\pm\else\textpm\fi{}0.0006$. We note that our calculated value of ${\ensuremath{\nu}}_{p}$ is in considerably better agreement with the proposal of Klein et al. that ${\ensuremath{\nu}}_{p}=\frac{\mathrm{ln}\sqrt{3}}{\mathrm{ln}(\frac{3}{2})}\ensuremath{\cong}1.3548$, than with den Nijs' recent conjecture, which predicts ${\ensuremath{\nu}}_{p}=\frac{4}{3}$. However, our results cannot entirely rule out the latter possibility.

DOI
10.1103/physrevb.21.1223

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We obtain the critical parameters for the site-percolation problem on the square lattice to a high degree of accuracy (comparable to that of series expansions) by using a Monte Carlo position-space renormalization-group procedure directly on the site-occupation probability. Our method involves calculating recursion relations using progressively larger lattice rescalings, bbb. We find smooth sequences for the value of the critical percolation concentration pc(b){p}_{c}(b)pc​(b) and for the scaling powers yp(b){y}_{p}(b)yp​(b) and yh(b){y}_{h}(b)yh​(b). Extrapolating these sequences to the limit b\ensuremath→\ensuremath∞b\ensuremath{\rightarrow}\ensuremath{\infty}b\ensuremath→\ensuremath∞ leads to quite accurate numerical predictions. Further, by considering other weight functions or "rules" which also embody the essential connectivity feature of percolation, we find that the numerical results in the infinite-cell limit are in fact "rule independent." However, the actual fashion in which this limit is approached does depend upon the rule chosen. A connection between extrapolation of our renormalization-group results and finite-size scaling is made. Furthermore, the usual finite-size scaling arguments lead to independent estimates of pc{p}_{c}pc​ and yp{y}_{p}yp​. Combining both the large-cell approach and the finite-size scaling results, we obtain yp=0.7385\ifmmode±\else\textpm\fi0.0080{y}_{p}=0.7385\ifmmode\pm\else\textpm\fi{}0.0080yp​=0.7385\ifmmode±\else\textpm\fi0.0080 and yh=1.898\ifmmode±\else\textpm\fi0.003{y}_{h}=1.898\ifmmode\pm\else\textpm\fi{}0.003yh​=1.898\ifmmode±\else\textpm\fi0.003. Thus we find \ensuremathαp=\ensuremath−0.708\ifmmode±\else\textpm\fi0.030{\ensuremath{\alpha}}_{p}=\ensuremath{-}0.708\ifmmode\pm\else\textpm\fi{}0.030\ensuremathαp​=\ensuremath−0.708\ifmmode±\else\textpm\fi0.030, \ensuremathβp=0.138(+0.006,\ensuremath−0.005){\ensuremath{\beta}}_{p}=0.138(+0.006,\ensuremath{-}0.005)\ensuremathβp​=0.138(+0.006,\ensuremath−0.005), \ensuremathγp=2.432\ifmmode±\else\textpm\fi0.035{\ensuremath{\gamma}}_{p}=2.432\ifmmode\pm\else\textpm\fi{}0.035\ensuremathγp​=2.432\ifmmode±\else\textpm\fi0.035, \ensuremathδp=18.6\ifmmode±\else\textpm\fi0.6{\ensuremath{\delta}}_{p}=18.6\ifmmode\pm\else\textpm\fi{}0.6\ensuremathδp​=18.6\ifmmode±\else\textpm\fi0.6, \ensuremathνp=1.354\ifmmode±\else\textpm\fi0.015{\ensuremath{\nu}}_{p}=1.354\ifmmode\pm\else\textpm\fi{}0.015\ensuremathνp​=1.354\ifmmode±\else\textpm\fi0.015, and 2\ensuremath−\ensuremathηp=1.796\ifmmode±\else\textpm\fi0.0062\ensuremath{-}{\ensuremath{\eta}}_{p}=1.796\ifmmode\pm\else\textpm\fi{}0.0062\ensuremath−\ensuremathηp​=1.796\ifmmode±\else\textpm\fi0.006. The site-percolation threshold is found for the square lattice at pc=0.5931\ifmmode±\else\textpm\fi0.0006{p}_{c}=0.5931\ifmmode\pm\else\textpm\fi{}0.0006pc​=0.5931\ifmmode±\else\textpm\fi0.0006. We note that our calculated value of \ensuremathνp{\ensuremath{\nu}}_{p}\ensuremathνp​ is in considerably better agreement with the proposal of Klein et al. that \ensuremathνp=ln3ln(32)\ensuremath≅1.3548{\ensuremath{\nu}}_{p}=\frac{\mathrm{ln}\sqrt{3}}{\mathrm{ln}(\frac{3}{2})}\ensuremath{\cong}1.3548\ensuremathνp​=ln(23​)ln3​​\ensuremath≅1.3548, than with den Nijs' recent conjecture, which predicts \ensuremathνp=43{\ensuremath{\nu}}_{p}=\frac{4}{3}\ensuremathνp​=34​. However, our results cannot entirely rule out the latter possibility.
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We present a histogram Monte Carlo method to calculate the existence probability Ep{\mathit{E}}_{\mathit{p}}Ep​, the percolation probability P, and the mean-cluster size S for percolation problems as continuous functions of the bond or site probability p. We then use Ep{\mathit{E}}_{\mathit{p}}Ep​ and P in a percolation renormalization-group method to calculate the critical point and exponents. Our method gives quite accurate results for percolation problems.
The large-cell Monte Carlo renormalization group introduced by Reynolds, Stanley, and Klein [Phys. Rev. B 20, 1223 (1980)] is applied with a new weight function to random percolation in two and three dimensions. Our renormalization-group results show different behavior with lattice size than that observed previously. Specifically, we find that ${Y}_{p}=0.73\ifmmode\pm\else\textpm\fi{}0.01$ (the correlation length exponent $\ensuremath{\nu}=1.37$) in two dimensions and ${Y}_{p}=1.124\ifmmode\pm\else\textpm\fi{}0.004$ ($\ensuremath{\nu}=0.89$) in three dimensions. This weight function allows for easy analysis of percolation in higher dimensions.
Using a histogram Monte Carlo simulation method (HMCSM), Hu, Lin, and Chen found that bond and site percolation models on planar lattices have universal finite-size scaling functions for the existence probability Ep,{E}_{p},Ep​, the percolation probability P,P,P, and the probability Wn{W}_{n}Wn​ for the appearance of nnn percolating clusters in these models. In this paper we extend above study to percolation on three-dimensional lattices with various linear dimensions L.L.L. Using the HMCSM, we calculate the existence probability Ep{E}_{p}Ep​ and the percolation probability PPP for site and bond percolation on a simple-cubic (sc) lattice, and site percolation on body-centered-cubic and face-centered-cubic lattices; each lattice has the same linear dimension in three dimensions. Using the data of Ep{E}_{p}Ep​ and PPP in a percolation renormalization group method, we find that the critical exponents obtained are quite consistent with the universality of critical exponents. Using a small number of nonuniversal metric factors, we find that Ep{E}_{p}Ep​ and PPP have universal finite-size scaling functions. This implies that the critical Ep{E}_{p}Ep​ is a universal quantity, which is $0.265\ifmmode\pm\else\textpm\fi{}0.005$ for free boundary conditions and $0.924\ifmmode\pm\else\textpm\fi{}0.005$ for periodic boundary conditions. We also find that Wn{W}_{n}Wn​ for site and bond percolation on sc lattices have universal finite-size scaling functions.
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