Moderate deviations for stochastic models of two-dimensional second grade fluids
Jianliang Zhai, Tusheng Zhang, Wuting Zheng

TL;DR
This paper establishes a central limit theorem and a moderate deviation principle for stochastic models of two-dimensional second grade fluids, enhancing understanding of their probabilistic behavior.
Contribution
It introduces a moderate deviation principle for these models using the weak convergence method, which is a novel application in this context.
Findings
Proved a central limit theorem for the models.
Established a moderate deviation principle.
Demonstrated the effectiveness of the weak convergence method.
Abstract
In this paper, we prove a central limit theorem and estabilish a moderate deviation principle for stochastic models of incompressible second fluids. The weak convergence method inreoduced by [4] plays an important role.
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Taxonomy
TopicsStochastic processes and statistical mechanics · Stochastic processes and financial applications · Nonlinear Partial Differential Equations
