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

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).

References in corpus (3)

• A Stochastic Generalized Ginzburg-Landau Equation Driven by Jump Noise
• Large deviations for nematic liquid crystals driven by pure jump noise
• 3D tamed Navier-Stokes equations driven by multiplicative Lévy noise: Existence, uniqueness and large deviations