Large deviation principle for stochastic generalized Ginzburg-Landau equation driven by jump noise

2021/11/16 by Wang, Ran, Zhang, Beibei
#60H10 #60H15 #FOS: Mathematics #Probability (math.PR)

paper · doi:10.48550/arxiv.2111.08292

Abstract

In this paper, we establish a large deviation principle for the stochastic generalized Ginzburg-Landau equation driven by jump noise. The main difficulties come from the highly non-linear coefficient. Here we adopt a new sufficient condition for the weak convergence criteria, which is proposed by Matoussi, Sabbagh and Zhang (2021).

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