A central limit theorem for ''critical'' first-passage percolation in two dimensions

被引:28
作者
Kesten, H [1 ]
Zhang, Y [1 ]
机构
[1] UNIV COLORADO,DEPT MATH,COLORADO SPRINGS,CO 80933
关键词
Mathematics Subject Classification (1991): 60K35; 60F05; 82B43;
D O I
10.1007/s004400050080
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
Consider (independent) first-passage percolation on the edges of Z(2). Denote the passage time of the edge e in Z(2) by t(e), and assume that P{t(e) = 0} = 1/2, P{0 < t(e) < C-0} = 0 for some constant C-0 > 0 and that E[t(delta)(e)] < infinity for some delta > 4. Denote by b(0,n) the passage time from 0 to the halfplane {(x, y): x greater than or equal to n}, and by T(0,nu) the passage time from 0 to the nearest lattice point to nu, for u a unit vector. We prove that there exist constants 0 < C-1, C-2 < infinity and gamma(n) such that C-1(log n)(1/2) less than or equal to gamma(n) less than or equal to C-2(log n)(1/2) and such that gamma(n)(-1)[b(0,n) - Eb(0,n)] and (root 2 gamma(n))(-1)[T(0, nu) - ET(0, nu)] converge in distribution to a standard normal variable (as n --> infinity, u fixed). A similar result holds for the site version of first-passage percolation on Z(2), when the common distribution of the passage times {t(nu)} of the vertices satisfies P{t(nu) = 0} = 1 - P{t(nu) greater than or equal to C-0} = p(c)(Z(2), site) := critical probability of site percolation on Z(2), and E[t(delta)(u)] < infinity for some delta > 4.
引用
收藏
页码:137 / 160
页数:24
相关论文
共 15 条
[1]  
[Anonymous], 1982, PERCOLATION THEORY M
[2]   CRITICAL-BEHAVIOR OF THE TWO-DIMENSIONAL 1ST PASSAGE TIME [J].
CHAYES, JT ;
CHAYES, L ;
DURRETT, R .
JOURNAL OF STATISTICAL PHYSICS, 1986, 45 (5-6) :933-951
[3]  
Grimmett G., 1989, Percolation
[4]  
Gut, 1988, STOPPED RANDOM WALKS
[5]  
HAMMERSLEY JM, 1965, BERNOULLI BAYES LAPL, P61
[6]  
Harris T. E., 1960, P CAMBRIDGE PHIL SOC, V56, P13, DOI DOI 10.1017/S0305004100034241
[7]  
KESTEN H, 1986, LECT NOTES MATH, V1180, P125
[8]   PERCOLATION THEORY AND 1ST-PASSAGE PERCOLATION [J].
KESTEN, H .
ANNALS OF PROBABILITY, 1987, 15 (04) :1231-1271
[10]   DEPENDENT CENTRAL LIMIT THEOREMS AND INVARIANCE PRINCIPLES [J].
MCLEISH, DL .
ANNALS OF PROBABILITY, 1974, 2 (04) :620-628