VERTEX-REINFORCED JUMP PROCESS ON THE INTEGERS WITH NONLINEAR REINFORCEMENT
成果类型:
Article
署名作者:
Collevecchio, Andrea; Tuan-Minh Nguyen; Volkov, Stanislav
署名单位:
Monash University; Lund University
刊物名称:
ANNALS OF APPLIED PROBABILITY
ISSN/ISSBN:
1050-5164
DOI:
10.1214/21-AAP1743
发表日期:
2022
页码:
2671-2705
关键词:
random-walks
edge
localization
THEOREMS
摘要:
We consider a nonlinear vertex-reinforced jump process (VRJP(w)) on Z with an increasing measurable weight function w : [1, infinity) -> [1, infinity) and initial weights equal to one. Our main goal is to study the asymptotic behaviour of VRJP(w) depending on the integrability of the reciprocal of w. In particular, we prove that if integral(infinity)(1) du/w(u) = infinity then the process is recurrent, that is, it visits each vertex infinitely often and all local times are unbounded. On the other du hand, if integral(infinity)(1) du/w(u) < infinity and there exists a rho > 0 such that t bar right arrow w(t)(rho) integral(infinity)(t) du/w(u) is nonincreasing then the process will eventually get stuck on exactly three vertices, and there is only one vertex with unbounded local time. We also show that if the initial weights are all the same, VRJP on Z cannot be transient, that is, there exists at least one vertex that is visited infinitely often. Our results extend the ones previously obtained by Davis and Volkov (Probab. Theory Related Fields 123 (2002) 281-300) who showed that VRJP with linear reinforcement on Z is recurrent.
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