# Large deviations for stochastic models of two-dimensional second grade fluids driven by L\'evy noise

## TL;DR

This paper proves a large deviation principle for 2D second grade fluid models influenced by Le9vy noise, using the weak convergence method, advancing understanding of stochastic fluid dynamics under jump noise.

## Contribution

It introduces a large deviation principle for stochastic second grade fluids driven by Le9vy noise, employing the weak convergence approach for the first time in this context.

## Key findings

- Established a large deviation principle for the model.
- Applied the weak convergence method successfully.
- Enhanced theoretical understanding of stochastic fluid models.

## Abstract

In this paper, we establish a large deviation principle for stochastic models of two-dimensional second grade fluids driven by L\'evy noise. The weak convergence method introduced by Budhiraja, Dupuis and Maroulas in [5] plays a key role.