MEAN-FIELD CRITICAL-BEHAVIOR FOR CORRELATION LENGTH FOR PERCOLATION IN HIGH DIMENSIONS

被引:16
|
作者
HARA, T [1 ]
机构
[1] NYU,COURANT INST MATH SCI,NEW YORK,NY 10012
关键词
D O I
10.1007/BF01208256
中图分类号
O21 [概率论与数理统计]; C8 [统计学];
学科分类号
020208 ; 070103 ; 0714 ;
摘要
Extending the method of [27], we prove that the corrlation length ξ of independent bond percolation models exhibits mean-field type critical behaviour (i.e. ξ(p∼(pc-p)-1/2 as p↗pc) in two situations: i) for nearest-neighbour independent bond percolation models on a d-dimensional hypercubic lattice ℤd, with d sufficiently large, and ii) for a class of "spread-out" independent bond percolation models, which are believed to belong to the same universality class as the nearest-neighbour model, in more than six dimensions. The proof is based on, and extends, a method developed in [27], where it was used to prove the triangle condition and hence mean-field behaviour of the critical exponents γ, β, δ, Δ and ν2 for the above two cases. © 1990 Springer-Verlag.
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页码:337 / 385
页数:49
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