Large deviation principle for stochastic generalized Ginzburg-Landau equation driven by jump noise
Probability
2021-11-17 v1
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).
Keywords
Cite
@article{arxiv.2111.08292,
title = {Large deviation principle for stochastic generalized Ginzburg-Landau equation driven by jump noise},
author = {Ran Wang and Beibei Zhang},
journal= {arXiv preprint arXiv:2111.08292},
year = {2021}
}