Non-Gaussianity of invariant measures to SPDEs in Da Prato-Debussche regime
arXiv:2501.06612 · doi:10.1007/s40072-025-00370-3
Abstract
We propose an elementary method to show non-Gaussianity of invariant measures of parabolic stochastic partial differential equations with polynomial non-linearities in the Da Prato--Debussche regime. The approach is essentially algebraic and involves using the generator equation of the SPDE at stationarity. Our results in particular cover the measures in dimensions , which includes cases where the invariant measure is singular with respect to the invariant measure of the linear solution.
arXiv commentsmall typos fixed, published version
References in corpus (14)
- A theory of regularity structures
- Renormalising SPDEs in regularity structures
- The dynamic model comes down from infinity
- The dynamical sine-Gordon model
- A variational method for
- Langevin dynamic for the 2D Yang-Mills measure
- A Rough Path Perspective on Renormalization
- Stochastic quantisation of Yang-Mills-Higgs in 3D
- A diagram-free approach to the stochastic estimates in regularity structures
- Flow equation approach to singular stochastic PDEs
- Norm inflation for a non-linear heat equation with Gaussian initial conditions
- Examples of renormalized SDEs
- Construction of a non-Gaussian and rotation-invariant -measure and associated flow on through stochastic quantization
- A Stochastic Model of Chemorepulsion with Additive Noise and Nonlinear Sensitivity