Theory of boundary effects in invasion percolation

被引:5
作者
Gabrielli, A
Cafiero, R
Caldarelli, G
机构
[1] Univ Roma Tor Vergata, Dipartimento Fis, I-00133 Rome, Italy
[2] Univ La Sapienza, INFM, Unita Roma 1, I-00185 Rome, Italy
[3] Max Planck Inst Phys Complex Syst, D-01187 Dresden, Germany
[4] Univ Cambridge, Cavendish Lab, Condensed Matter Theory Grp, Cambridge CB3 0HE, England
[5] Univ Rome La Sapienza, INFM, Unita Roma 1, I-00185 Rome, Italy
来源
JOURNAL OF PHYSICS A-MATHEMATICAL AND GENERAL | 1998年 / 31卷 / 37期
关键词
D O I
10.1088/0305-4470/31/37/006
中图分类号
O4 [物理学];
学科分类号
0702 ;
摘要
We study the boundary effects in invasion percolation (IP) with and without trapping. We And that the presence of boundaries introduces a new set of surface critical exponents, as in the case of standard percolation. Numerical simulations show a fractal dimension, for the region of the percolating cluster near the boundary, remarkably different from the bulk one. In fact, on the surface we find a value of D-sur = 1.65 +/- 0.02 (for IP with trapping D-tr(sur) = 1.59 +/- 0.03), compared with the bulk value of D-bul = 1.88 +/- 0.02 (D-tr(bul) = 1.85 +/- 0.02). We find a logarithmic crossover from surface to bulk fractal properties, as one would expect from the finite-size theory of critical systems. The distribution of the quenched variables on the growing interface near the boundary self-organizes into an asymptotic shape characterized by a discontinuity ata value x(c) = 0.5, which coincides with the bulk critical threshold. The exponent tau(sur) of the boundary avalanche distribution for IP without trapping is tau(sur) = 1.56 +/- 0.05; this value is very near to the bulk one. Then we conclude that only the geometrical properties (fractal dimension) of the model are affected by the presence of a boundary, while other statistical and dynamical properties are unchanged. Furthermore, we are able to present a theoretical computation of the relevant critical exponents near the boundary. This analysis combines two recently introduced theoretical tools, the fixed scale transformation and the run time statistics, which are particularly suited for the study of irreversible self-organized growth models with quenched disorder. Our theoretical results are in rather good agreement with numerical data.
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页码:7429 / 7446
页数:18
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