Dirichlet forms and polymer models based on stable processes

STOCHASTIC PROCESSES AND THEIR APPLICATIONS

卷:130

Article

Li, Liping¹  Li, Xiaodan² 

[1] Chinese Acad Sci, Acad Math & Syst Sci, HCMS, RCSDS, Beijing 100190, Peoples R China

[2] Fudan Univ, Shanghai 200433, Peoples R China

关键词: Dirichlet forms;    Polymer models;    Self-adjoint extensions;    Stable processes;   

DOI  :  10.1016/j.spa.2020.04.011

来源: Elsevier

【 摘 要 】

In this paper, we are concerned with polymer models based on a-stable processes, where alpha is an element of (d/2, d (<<<^>>>) 2) and d stands for dimension. They are attached with a delta potential at the origin and the associated Gibbs measures are parametrized by a constant gamma is an element of R boolean OR {-infinity} playing the role of inverse temperature. Phase transition exhibits with critical value gamma(cr) = 0. Our first object is to formulate the associated Dirichlet form of the canonical Markov process X-(gamma) induced by the Gibbs measure for a globular state gamma > 0 or the critical state gamma = 0. Approach of Dirichlet forms also leads to deeper descriptions of their probabilistic counterparts. Furthermore, we will characterize the behaviour of polymer near the critical point from probabilistic viewpoint by showing that X-(gamma) is convergent to X-(0) as gamma down arrow 0 in a certain meaning. (C) 2020 Elsevier B.V. All rights reserved.

【 授权许可】

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