Dynamics of fractional stochastic reaction-diffusion equations on unbounded domains driven by nonlinear noise

被引:82
|
作者
Wang, Bixiang [1 ]
机构
[1] New Mexico Inst Min & Technol, Dept Math, Socorro, NM 87801 USA
关键词
Mean random attractor; Invariant measure; Nonlinear noise; Unbounded domain; Stochastic reaction-diffusion equation; INVARIANT-MEASURES; RANDOM ATTRACTORS; PULLBACK ATTRACTORS; ASYMPTOTIC-BEHAVIOR; EXISTENCE; REGULARITY;
D O I
10.1016/j.jde.2019.08.007
中图分类号
O1 [数学];
学科分类号
0701 ; 070101 ;
摘要
This paper is concerned with the asymptotic behavior of the solutions of the fractional reaction-diffusion equations with polynomial drift terms of arbitrary order driven by locally Lipschitz nonlinear diffusion terms defined on R-n. We first prove the well-posedness of the equation based on pathwise uniform estimates as well as uniform estimates on average. We then define a mean random dynamical system via the solution operators and prove the existence and uniqueness of weak pullback mean random attractors. We finally establish the existence of invariant measures when the diffusion terms are globally Lipschitz continuous. The uniform estimates on the tails of solutions are employed to prove the tightness of a family of probability distributions of solutions in order to overcome the non-compactness of usual Sobolev embeddings on unbounded domains. (C) 2019 Elsevier Inc. All rights reserved.
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页码:1 / 59
页数:59
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