Large deviation principle of occupation measures for Non-linear monotone SPDEs
Wang, Ran · Xiong, Jie · Xu, Lihu
الأصل · EN
Using the hyper-exponential recurrence criterion, a large deviation principle for the occupation measure is derived for a class of non-linear monotone stochastic partial differential equations. The main results are applied to many concrete SPDEs such as stochastic p-Laplace equation, stochastic porous medium equation, stochastic fast-diffusion equation, and even stochastic real Ginzburg-Landau equation driven by α-stable noises.
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