Surface quasi-geostrophic equation perturbed by derivatives of space-time white noise

TL;DR

This paper proves the existence of many non-Gaussian solutions to a singular surface quasi-geostrophic equation perturbed by space-time white noise, using a novel combination of regularity structures and convex integration.

Contribution

It introduces a unified approach applicable across subcritical, critical, and supercritical regimes for stochastic SQG equations, including a modified Da Prato--Debussche trick and convex integration.

Findings

Existence of infinitely many non-Gaussian solutions.

Construction of ergodic stationary solutions.

Applicability across different critical regimes.

Abstract

We consider a family of singular surface quasi-geostrophic equations $$ \partial_{t}\theta+u\cdot\nabla\theta=-\nu (-\Delta)^{\gamma/2}\theta+(-\Delta)^{\alpha/2}\xi,\qquad u=\nabla^{\perp}(-\Delta)^{-1/2}\theta, $$ on $[0,\infty)\times\mathbb{T}^{2}$, where $\nu\geq 0$, $\gamma\in [0,3/2)$, $\alpha\in [0,1/4)$ and $\xi$ is a space-time white noise. For the first time, we establish the existence of infinitely many non-Gaussian $\bullet$ probabilistically strong solutions for every initial condition in $C^{\eta}$, $\eta>1/2$ $\bullet$ ergodic stationary solutions The result presents a single approach applicable in the subcritical, critical as well as supercritical regime in the sense of Hairer (M. Hairer, A theory of regularity structures). It also applies in the particular setting $\alpha=\gamma/2$ which formally possesses a Gaussian invariant measure. In our proof, we first introduce a modified Da Prato--Debussche trick which, on the one hand, permits to convert irregularity in time into irregularity in space and, on the other hand, increases the regularity of the linear solution. Second, we develop a convex integration iteration for the corresponding nonlinear equation which yields non-unique non-Gaussian solutions satisfying powerful global-in-time estimates and generating stationary as well as ergodic stationary solutions.