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Explicit Stationary Distribution of the (L, 1)-reflecting Random Walk on the Half Line
引用本文:Wen Ming HONG,Ke ZHOU,Yi Qiang Q. ZHAO. Explicit Stationary Distribution of the (L, 1)-reflecting Random Walk on the Half Line[J]. 数学学报(英文版), 2014, 30(3): 371-388. DOI: 10.1007/s10114-014-3009-7
作者姓名:Wen Ming HONG  Ke ZHOU  Yi Qiang Q. ZHAO
作者单位:[1]School of Mathematical Sciences & Laboratory of Mathematics and Complex Systems, Beijing Normal University, Beijing 100875, P. R. China [2]School of Mathematics and Statistics, Carleton University, Ottawa, Ontario, Canada KIS 5B6
基金项目:Supported by National Natural Science Foundation of China(Grant No.11131003);the Natural Sciences and Engineering Research Council of Canada(Grant No.315660)
摘    要:In this paper,we consider the(L,1) state-dependent reflecting random walk(RW) on the half line,which is an RW allowing jumps to the left at a maximal size L.For this model,we provide an explicit criterion for(positive) recurrence and an explicit expression for the stationary distribution.As an application,we prove the geometric tail asymptotic behavior of the stationary distribution under certain conditions.The main tool employed in the paper is the intrinsic branching structure within the(L,1)-random walk.

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Explicit stationary distribution of the (L, 1)-reflecting random walk on the half line
Wen Ming Hong,Ke Zhou,Yi Qiang,Q. Zhao. Explicit stationary distribution of the (L, 1)-reflecting random walk on the half line[J]. Acta Mathematica Sinica(English Series), 2014, 30(3): 371-388. DOI: 10.1007/s10114-014-3009-7
Authors:Wen Ming Hong  Ke Zhou  Yi Qiang  Q. Zhao
Affiliation:1. School of Mathematical Sciences & Laboratory of Mathematics and Complex Systems, Beijing Normal University, Beijing, 100875, P. R. China
2. School of Mathematics and Statistics, Carleton University, Ottawa, Ontario, Canada, K1S 5B6
Abstract:In this paper, we consider the (L, 1) state-dependent reflecting random walk (RW) on the half line, which is an RW allowing jumps to the left at a maximal size L. For this model, we provide an explicit criterion for (positive) recurrence and an explicit expression for the stationary distribution. As an application, we prove the geometric tail asymptotic behavior of the stationary distribution under certain conditions. The main tool employed in the paper is the intrinsic branching structure within the (L, 1)-random walk.
Keywords:Random walk  multi-type branching process  recurrence  positive recurrence  stationary distribution  tail asymptotic
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