Random walks in random hypergeometric environment

被引:0
|
作者
Orenshtein, Tal [1 ,2 ]
Sabot, Christophe [3 ]
机构
[1] Tech Univ Berlin, Berlin, Germany
[2] Weierstrass Inst, Berlin, Germany
[3] Univ Lyon 1, Inst Camille Jordan, Lyon, France
来源
关键词
random walks in random environment; point of view of the particle; hypergeometric functions; hypergeometric environments; Dirichlet environments; reversibility; one-dependent Markov chains; QUENCHED INVARIANCE-PRINCIPLE; BALLISTIC RANDOM-WALKS; CENTRAL-LIMIT-THEOREM; DIRICHLET ENVIRONMENT; LARGE NUMBERS; OF-VIEW; PARTICLE; LAW;
D O I
10.1214/20-EJP429
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
We consider one-dependent random walks on Z(d) in random hypergeometric environment for d >= 3. These are memory-one walks in a large class of environments parameterized by positive weights on directed edges and on pairs of directed edges which includes the class of Dirichlet environments as a special case. We show that the walk is a.s. transient for any choice of the parameters, and moreover that the return time has some finite positive moment. We then give a characterization for the existence of an invariant measure for the process from the point of view of the walker which is absolutely continuous with respect to the initial distribution on the environment in terms of a function n of the initial weights. These results generalize [Sab11] and [Sab13] on random walks in Dirichlet environment. It turns out that n coincides with the corresponding parameter in the Dirichlet case, and so in particular the existence of such invariant measures is independent of the weights on pairs of directed edges, and determined solely by the weights on directed edges.
引用
收藏
页码:1 / 21
页数:21
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