Large deviations for slow-fast stochastic partial differential equations
Wei WangA, J. Roberts, Jinqiao Duan
Abstract
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Wei WangA, J. Roberts, Jinqiao Duan
Abstract
Open-access reader
A large deviation principle is derived for stochastic partial differential equations with slow-fast components. The result shows that the rate function is exactly that of the averaged equation plus the fluctuating deviation which is a stochastic partial differential equation with small Gaussian perturbation. This also confirms the effectiveness of the approximation of the averaged equation plus the fluctuating deviation to the slow-fast stochastic partial differential equations.
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A large deviation principle is derived for stochastic partial differential equations with slow-fast components. The result shows that the rate function is exactly that of the averaged equation plus the fluctuating deviation which is a stochastic partial differential equation with small Gaussian perturbation. This also confirms the effectiveness of the approximation of the averaged equation plus the fluctuating deviation to the slow-fast stochastic partial differential equations.
Key concepts: Stochastic partial differential equation, First-order partial differential equation, Mathematics, Partial differential equation, Rate function, Stochastic differential equation, Differential equation, Mathematical analysis