Diffusion Processes with One-sided Selfsimilar Random Potentials

IF 1 3区 数学 Q1 MATHEMATICS
Yuki Suzuki, Hiroshi Takahashi, Yozo Tamura
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引用次数: 0

Abstract

Long-time behavior of diffusion processes with one-sided random potentials starting from the origin is studied. As random potentials, some strictly stable processes are given just on the negative side in the real line. This model is an extension of the diffusion process with a one-sided Brownian potential studied by Kawazu, Suzuki and Tanaka (Tokyo J. Math. 24, 211–229 2001) and Kawazu and Suzuki (J. Appl. Probab. 43, 997–1012 2006). In this paper, we analyze our model by different methods from theirs. We use the theory concerning the convergence of a sequence of bi-generalized diffusion processes studied by Ogura (J. Math. Soc. Japan 41, 213–242 1989) and Tanaka (Comm. Pure Appl. Math. 47, 755–766 1994). For diffusion processes with one-sided random potentials, the limit theorems introduced by them cannot be used. We improve their limit theorems and apply the improved limit theorem to examining the long-time behavior of our model. As a result, we show that limit distributions exist under the Brownian scaling with some probability, and under a sub-diffusive scaling with the remaining probability.

具有单边自相似随机势的扩散过程
研究了从原点出发的单边随机势的扩散过程的长期行为。作为随机势,一些严格稳定的过程仅在实线的负侧给出。该模型是 Kawazu、Suzuki 和 Tanaka (Tokyo J. Math. 24, 211-229 2001) 以及 Kawazu 和 Suzuki (J. Appl. Probab. 43, 997-1012 2006) 所研究的具有单边布朗势的扩散过程的扩展。在本文中,我们用不同于他们的方法来分析我们的模型。我们使用小仓(J. Math. Soc. Japan 41, 213-242 1989)和田中(Comm. Pure Appl.)对于具有单边随机势的扩散过程,他们引入的极限定理无法使用。我们改进了他们的极限定理,并将改进后的极限定理应用于研究我们模型的长期行为。结果表明,在布朗缩放条件下有一定概率存在极限分布,而在亚扩散缩放条件下有剩余概率存在极限分布。
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来源期刊
Potential Analysis
Potential Analysis 数学-数学
CiteScore
2.20
自引率
9.10%
发文量
83
审稿时长
>12 weeks
期刊介绍: The journal publishes original papers dealing with potential theory and its applications, probability theory, geometry and functional analysis and in particular estimations of the solutions of elliptic and parabolic equations; analysis of semi-groups, resolvent kernels, harmonic spaces and Dirichlet forms; Markov processes, Markov kernels, stochastic differential equations, diffusion processes and Levy processes; analysis of diffusions, heat kernels and resolvent kernels on fractals; infinite dimensional analysis, Gaussian analysis, analysis of infinite particle systems, of interacting particle systems, of Gibbs measures, of path and loop spaces; connections with global geometry, linear and non-linear analysis on Riemannian manifolds, Lie groups, graphs, and other geometric structures; non-linear or semilinear generalizations of elliptic or parabolic equations and operators; harmonic analysis, ergodic theory, dynamical systems; boundary value problems, Martin boundaries, Poisson boundaries, etc.
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