This article develops the viscosity solution approach to the large deviation principle for the following two- and three-dimensional stochastic convective Brinkman-Forchheimer equations on the torus $\mathbb{T}^d,\ d\in\{2,3\}$ with small noise intensity:
\begin{align*}
\mathrm{d}\boldsymbol{u}_n+[-μΔ\boldsymbol{u}_n+ (\boldsymbol{u}_n\cdot\nabla)\boldsymbol{u}_n +α\boldsymbol{u}_n+β|\boldsymbol{u}_n|^{r-1}\boldsymbol{u}_n+\nabla p_n]\mathrm{d} t=\boldsymbol{f}\mathrm{d} t+\frac{1}{\sqrt{n}}\mathrm{Q}^{\frac12}\mathrm{d}\mathrm{W}, \ \nabla\cdot\boldsymbol{u}_n=0,
\end{align*} where $μ,α,β>0$, $r\in[1,\infty)$, $\mathrm{Q}$ is a trace class operator and $\mathrm{W}$ is Hilbert-valued calendrical Wiener process. We build our analysis on the framework of Varadhan and Bryc, together with the techniques of [J. Feng et.al., Large Deviations for Stochastic Processes, American Mathematical Society (2006) vol. \textbf{131}]. By employing the techniques from the comparison principle, we identify the Laplace limit as the convergence of the viscosity solution of the associated second-order singularly perturbed Hamilton-Jacobi-Bellman equation. A key advantage of this method is that it establishes a Laplace principle without relying on additional sufficient conditions such as Bryc's theorem, which the literature commonly requires. For $r>3$ and $r=3$ with $2βμ\geq1$, we also derive the exponential moment bounds without imposing the classical orthogonality condition $((\boldsymbol{u}_n\cdot\nabla)\boldsymbol{u}_n,\mathrm{A}\boldsymbol{u}_n)=0$, where $\mathrm{A}=-Δ$, in both two-and three-dimensions. We first establish the large deviation principle in the Skorohod space. Then, by using the $\mathrm{C}-$exponential tightness, we finally establish the large deviation principle in the continuous space.
Weak pullback mean random attractors for the stochastic convective Brinkman-Forchheimer equations and locally monotone stochastic partial differential equations
Existence and upper semicontinuity of random pullback attractors for 2D and 3D non-autonomous stochastic convective Brinkman-Forchheimer equations on whole domain
Long term behavior of 2D and 3D non-autonomous random convective Brinkman-Forchheimer equations driven by colored noise
研究了二维和三维带非线性扩散项的随机对流Brinkman-Forchheimer（CBF）方程在有界和无界（$\mathbb{R}^d$ for $d=2,3$）区域上的Wong-Zakai逼近的长时间行为.建立随机拉回吸引子的存在性，渐近紧性（AC）的概念。在有界域上，AC通过紧Sobolev嵌入得到证明。在无界区域，由于缺乏紧嵌入，利用能量方程和一致尾估计的思想来证明AC。在文献中，CBF方程也被称为\emph{Navier-Stokes equations (NSE) with damping}，有趣的是，通过线性和非线性阻尼对NSE进行修改，得到了比NSE更好的结果。线性阻尼项的存在有助于在整个域$\mathbb{R}^d$中建立结果。非线性阻尼项支持在3D中获得更好的结果，并且还支持一大类非线性扩散项。此外，我们还证明了带加性白噪声的随机CBF方程存在唯一的随机拉回吸引子。最后，对于加性和乘性噪声情形，当有色噪声的相关时间收敛到零时，我们建立了随机CBF方程的Wong-Zakai逼近的解的收敛性和随机拉回吸引子的上连续性.
Martingale solution, invariant measure and ergodicity for stochastic convective Brinkman-Forchheimer equations on general domains in $\mathbb{R}^d$
Center for Mathematics and Applications (NOVA Math), NOVA School of Science and Technology (NOVA FCT)（NOVA科学与技术学院数学与应用中心(NOVA Math)）；Department of Mathematics, Indian Institute of Technology Roorkee-IIT Roorkee（印度卢达克纳德理工学院(IIT Roorkee)数学系）
Asymptotically autonomous robustness in Probability of non-autonomous random attractors for stochastic convective Brinkman-Forchheimer equations on $\mathbb{R}^3$
