Large deviations for quasilinear parabolic stochastic partial differential equations
Zhao Dong, Rangrang Zhang, Tusheng Zhang

TL;DR
This paper proves large deviation principles for a class of complex quasilinear parabolic SPDEs with multiplicative noise, expanding the theoretical understanding of their probabilistic behavior.
Contribution
It introduces a novel application of the weak convergence approach to establish large deviations for non-monotone quasilinear parabolic SPDEs.
Findings
Established large deviation principles for complex SPDEs with multiplicative noise.
Extended the theoretical framework to non-monotone quasilinear parabolic equations.
Provided a new methodological approach using weak convergence.
Abstract
In this paper, we establish the Freidlin-Wentzell's large deviations for quasilinear parabolic stochastic partial differential equations with multiplicative noise, which are neither monotone nor locally monotone. The proof is based on the weak convergence approach.
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Taxonomy
TopicsStochastic processes and financial applications · Advanced Mathematical Modeling in Engineering · Nonlinear Partial Differential Equations
