LONG-RANGE LAST-PASSAGE PERCOLATION ON THE LINE

成果类型:
Article
署名作者:
Foss, Sergey; Martin, James B.; Schmidt, Philipp
署名单位:
Heriot Watt University; Russian Academy of Sciences; University of Oxford
刊物名称:
ANNALS OF APPLIED PROBABILITY
ISSN/ISSBN:
1050-5164
DOI:
10.1214/13-AAP920
发表日期:
2014
页码:
198-234
关键词:
graphs
摘要:
We consider directed last-passage percolation on the random graph G = (V, E) where V = Z and each edge (i, j), for i < j is an element of Z, is present in E independently with some probability p is an element of (0, 1]. To every (i, j) is an element of E we attach i.i.d. random weights v(i, j) > 0. We are interested in the behaviour of w(0,n), which is the maximum weight of all directed paths from 0 to n, as n -> infinity. We see two very different types of behaviour, depending on whether E[v(i,j)(2)] < infinity or E[v(i,j)(2)] = infinity. In the case where E[v(i,j)(2)] < infinity we show that the process has a certain regenerative structure, and prove a strong law of large numbers and, under an extra assumption, a functional central limit theorem. In the situation where E[v(i,j)(2)] = infinity we obtain scaling laws and asymptotic distributions expressed in terms of a continuous last-passage percolation model on [0,1]; these are related to corresponding results for two-dimensional lastpassage percolation with heavy-tailed weights obtained in Hambly and Martin
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