Large deviations of fractional stochastic equations with non-Lipschitz drift and multiplicative noise on unbounded domains

被引:1
|
作者
Wang, Bixiang [1 ]
机构
[1] New Mexico Inst Min & Technol, Dept Math, Socorro, NM 87801 USA
关键词
Unbounded domain; Tail estimate; Tightness; Large deviation principle; Weak convergence method; Polynomial drift; REACTION-DIFFUSION EQUATIONS; UNIFORM LARGE DEVIATIONS; SMALL RANDOM PERTURBATIONS; ASYMPTOTIC-BEHAVIOR; ATTRACTORS; REGULARITY; PRINCIPLE; DYNAMICS; SYSTEMS;
D O I
10.1016/j.jde.2023.08.026
中图分类号
O1 [数学];
学科分类号
0701 ; 070101 ;
摘要
This paper is concerned with the large deviation principle of the non-local fractional stochastic reactiondiffusion equation with a polynomial drift of arbitrary degree driven by multiplicative noise defined on unbounded domains. We first prove the strong convergence of the solutions of a control equation with respect to the weak topology of controls, and then show the convergence in distribution of the solutions of the stochastic equation when the noise intensity approaches zero. We finally establish the large deviations of the stochastic equation by the weak convergence method. The main difficulty of the paper is caused by the non-compactness of Sobolev embeddings on unbounded domains, and the idea of uniform tail-ends estimates is employed to circumvent the obstacle in order to obtain the tightness of distribution laws of the stochastic equation and the precompactness of the control equation.(c) 2023 Elsevier Inc. All rights reserved.
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页码:1 / 38
页数:38
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