SCALING WINDOW FOR MEAN-FIELD PERCOLATION OF AVERAGES

被引:3
作者
Ding, Jian [1 ]
机构
[1] Stanford Univ, Dept Math, Stanford, CA 94305 USA
关键词
Percolation; scaling window; stochastic distance model; TRAVELING-SALESMAN PROBLEM; SPARSE RANDOM GRAPHS; TREES; PATHS; MODEL;
D O I
10.1214/12-AOP765
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
For a complete graph of size n, assign each edge an i.i.d. exponential variable with mean n. For lambda > 0, consider the length of the longest path whose average weight is at most lambda. It was shown by Aldous [Combin. Probab. Comput. 7 (1998) 1-10] that the length is of order log n for lambda < 1/e and of order n for lambda > 1/e. Aldous [Open problems (2003) Preprint] posed the question on detailed behavior at and near criticality 1/e. In particular, Aldous asked whether there exist scaling exponents mu, v such that for lambda within 1/e of order n(-mu), the length for the longest path of average weight at most. has order n(v). We answer this question by showing that the critical behavior is far richer: For lambda around 1/e within a window of alpha(log n)(-2) with a small absolute constant alpha > 0, the longest path is of order (log n)(3). Furthermore, for lambda >= 1/e + beta(log n)(-2) with beta a large absolute constant, the longest path is at least of length a polynomial in n. An interesting consequence of our result is the existence of a second transition point in 1/e + [alpha(log n)(-2), beta(log n)(-2)]. In addition, we demonstrate a smooth transition from subcritical to critical regime. Our results were not known before even in a heuristic sense.
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页码:4407 / 4427
页数:21
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