A Large Deviation Principle for the Stochastic Generalized Ginzburg-Landau Equation Driven by Jump Noise
Author:
Publisher
Springer Science and Business Media LLC
Subject
General Physics and Astronomy,General Mathematics
Link
https://link.springer.com/content/pdf/10.1007/s10473-023-0203-7.pdf
Reference41 articles.
1. Albeverio S, Brzeźniak Z, Wu J. Existence of global solutions and invariant measures for stochastic differential equations driven by Poisson type noise with non-Lipschitz coefficients. J Math Anal Appl, 2010, 371: 309–322
2. Barton-Smith M. Global solution for a stochastic Ginzburg-Landau equation with multiplicative noise. Stochastic Anal Appl, 2004, 22(1): 1–18
3. de Bouard A, Hausenblas E. The nonlinear Schrödinger equation driven by jump processes. J Math Anal Appl, 2019, 475(1): 215–252
4. de Bouard A, Hausenblas E, Ondreját M. Uniqueness of the nonlinear Schrödinger equation driven by jump processes. Nonlinear Differential Equations Appl, 2019, 26(3): 22
5. Budhiraja A, Chen J, Dupuis P. Large deviations for stochastic partial differential equations driven by a Poisson random measure. Stochastic Process Appl, 2013, 123: 523–560
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