Kavli Affiliate: Ran Wang
| First 5 Authors: Ran Wang, Beibei Zhang, , ,
| Summary:
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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