ATTRACTION TIME FOR STRONGLY REINFORCED WALKS
成果类型:
Article
署名作者:
Cotar, Codina; Limic, Vlada
署名单位:
Technical University of Berlin; Centre National de la Recherche Scientifique (CNRS)
刊物名称:
ANNALS OF APPLIED PROBABILITY
ISSN/ISSBN:
1050-5164
DOI:
10.1214/08-AAP564
发表日期:
2009
页码:
1972-2007
关键词:
edge
ant
摘要:
We consider a class of strongly edge-reinforced random walks, where the corresponding reinforcement weight function is nondecreasing. It is known, from Limic and Tarres [Ann. Probab. (2007), to appear], that the attracting edge emerges with probability I whenever the underlying graph is locally bounded. We study the asymptotic behavior of the tail distribution of the (random) time of attraction. In particular, we obtain exact (up to a multiplicative constant) asymptotics if the underlying graph has two edges. Next, we show some extensions in the setting of finite graphs, and infinite graphs with bounded degree. As a corollary, we obtain the fact that if the reinforcement weight has the form omega(k) = k(rho), rho > 1, then (universally over finite graphs) the expected time to attraction is infinite if and only if rho <= 1 + 1+root 5/2.
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