Large deviations for the two-time-scale stochastic convective Brinkman-Forchheimer equations

被引:1
|
作者
Mohan, Manil T. [1 ]
机构
[1] Indian Inst Technol Roorkee IIT Roorkee, Dept Math, Roorkee 247667, Uttarakhand, India
关键词
Convective Brinkman-Forchheimer equations; Averaging principle; Invariant measure; Large deviation principle; Weak convergence; Khasminkii's time discretization; NAVIER-STOKES EQUATIONS; REACTION-DIFFUSION EQUATIONS; AVERAGING PRINCIPLE; WELL-POSEDNESS; EVOLUTION EQUATIONS; STRONG-CONVERGENCE; INVARIANT-MEASURES; SYSTEMS; ERGODICITY; UNIQUENESS;
D O I
10.1016/j.jde.2023.08.029
中图分类号
O1 [数学];
学科分类号
0701 ; 070101 ;
摘要
The convective Brinkman-Forchheimer (CBF) equations are employed to characterize the motion of incompressible fluid in a saturated porous medium. This work investigates the small noise asymptotic of two-time-scale stochastic CBF equations in two and three dimensional bounded domains. More precisely, we establish a Wentzell-Freidlin type large deviation principle for stochastic partial differential equations that have slow and fast time-scales. The slow component is the stochastic CBF equations in two or three dimensions perturbed by a small multiplicative Gaussian noise, while the fast component is a stochastic reaction-diffusion equation with damping. The results are obtained by using a variational method (based on weak convergence approach) developed by Budhiraja and Dupuis, Khasminkii's time discretization approach and stopping time arguments. In particular, the findings from this study are also applicable to (c) 2023 Elsevier Inc. All rights reserved.
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页码:469 / 537
页数:69
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