Limit Invariant Measures for the Modified Stochastic Swift–Hohenberg Equation in a 3D Thin Domain

IF 1.6 2区 数学 Q2 MATHEMATICS, APPLIED
Guanggan Chen, Wenhu Zhong, Yunyun Wei
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引用次数: 0

Abstract

This work is concerned with the modified stochastic Swift–Hohenberg equation in a 3D thin domain. Although the diffusion motion of molecules is irregular with the interference of the film-fluid fluctuation, the invariant measure on the trajectory space reveals delicate transition of the dynamical behavior when the interior forces change. We therefore prove that the invariant measure of the system converges weakly to the unique counterpart of the stochastic Swift–Hohenberg equation in a 2D bounded domain with a concrete convergence rate, as the modified parameter and the thickness of the thin domain tend to zero. Furthermore, we address that the smooth density of the limit invariant measure fulfills a Fokker–Planck equation.

三维薄域中修正随机斯威夫特-霍恩伯格方程的极限不变量
这项研究关注三维薄域中的修正随机斯威夫特-霍恩伯格方程。虽然分子的扩散运动在膜流体波动的干扰下是不规则的,但轨迹空间上的不变度量揭示了内部力变化时动力学行为的微妙转变。因此,我们证明了当修正参数和薄域厚度趋于零时,系统的不变度量在二维有界域中以具体的收敛率弱收敛于随机斯威夫特-霍恩伯格方程的唯一对应方程。此外,我们还指出,极限不变度量的光滑密度满足福克-普朗克方程。
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来源期刊
CiteScore
3.30
自引率
5.60%
发文量
103
审稿时长
>12 weeks
期刊介绍: The Applied Mathematics and Optimization Journal covers a broad range of mathematical methods in particular those that bridge with optimization and have some connection with applications. Core topics include calculus of variations, partial differential equations, stochastic control, optimization of deterministic or stochastic systems in discrete or continuous time, homogenization, control theory, mean field games, dynamic games and optimal transport. Algorithmic, data analytic, machine learning and numerical methods which support the modeling and analysis of optimization problems are encouraged. Of great interest are papers which show some novel idea in either the theory or model which include some connection with potential applications in science and engineering.
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