Small Time Asymptotics for SPDEs with Locally Monotone Coefficients
arXiv:1910.02243
Abstract
This work aims to prove the small time large deviation principle (LDP) for a class of stochastic partial differential equations (SPDEs) with locally monotone coefficients in generalized variational framework. The main result could be applied to demonstrate the small time LDP for various quasilinear and semilinear SPDEs such as stochastic porous media equations, stochastic -Laplace equations, stochastic Burgers type equation, stochastic 2D Navier-Stokes equation, stochastic power law fluid equation and stochastic Ladyzhenskaya model. In particular, our small time LDP result seems to be new in the case of general quasilinear SPDEs with multiplicative noise.
arXiv comment28 pages
References in corpus (9)
- SPDE in Hilbert Space with Locally Monotone Coefficients
- Large Deviations for Stochastic Evolution Equations with Small Multiplicative Noise
- Random attractors for a class of stochastic partial differential equations driven by general additive noise
- Local and global well-posedness of SPDE with generalized coercivity conditions
- Random attractors for degenerate stochastic partial differential equations
- Small-time asymptotics for fast mean-reverting stochastic volatility models
- Quasi-Linear (Stochastic) Partial Differential Equations with Time-Fractional Derivatives
- On the small time asymptotics of 3D stochastic primitive equations
- An integrated version of Varadhan's asymptotics for lower-order perturbations of strong local Dirichlet forms