Large deviation principles for the stationary solutions and invariant measures of a class of SPDE with locally monotone coefficients

TL;DR

This paper proves large deviation principles for stationary solutions of a broad class of SPDEs with locally monotone coefficients, simplifying the analysis by working directly with stationary solutions.

Contribution

It introduces a flexible framework for establishing large deviation principles for invariant measures of SPDEs without constructing the quasi-potential.

Findings

Established well-posedness of stationary solutions for SPDEs with locally monotone coefficients.

Proved Freidlin--Wentzell large deviation principle for these stationary solutions.

Applied results to various SPDEs including Navier--Stokes and reaction-diffusion equations.

Abstract

We establish the well-posedness of stationary solutions for a class of SPDEs with locally monotone coefficients, and prove the Freidlin--Wentzell large deviation principle (LDP) for these stationary solutions. The LDP for the associated invariant measures then follows via the contraction principle, avoiding the need to construct the quasi-potential and verify the Dembo--Zeitouni uniform LDP over bounded sets. By working directly with stationary solutions, we bypass these technical difficulties, thereby providing a more general and flexible framework that is adapted to additive noise, multiplicative noise, and transport-type noise. As applications, our results cover a range of SPDEs, including the stochastic reaction-diffusion equations, stochastic 1D viscous Burgers equation, stochastic 2D Navier--Stokes equations, stochastic 2D magneto-hydrodynamic equations and stochastic 3D hyper-dissipative Navier--Stokes equations.