A viscosity solution approach to the large deviation principle for stochastic convective Brinkman-Forchheimer equations
Abstract
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 Td,\ d∈\2,3\ with small noise intensity: align* dun+[-μun+ (un·∇)un +αun+β|un|r-1un+∇ pn]d t=fd t+1nQ12dW, \ ∇·un=0, align* where μ,α,β>0, r∈[1,∞), Q is a trace class operator and 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. 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≥1, we also derive the exponential moment bounds without imposing the classical orthogonality condition ((un·∇)un,Aun)=0, where A=-, in both two-and three-dimensions. We first establish the large deviation principle in the Skorohod space. Then, by using the C-exponential tightness, we finally establish the large deviation principle in the continuous space.
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