A proof of Onsager's conjecture for the stochastic 3D Euler equations
Abstract
This paper investigates the stochastic 3D Euler equations on a periodic domain , driven by a -Wiener process of trace class: \begin{align*} \mathrm{d} u+\mathrm{div}(u\otimes u)\,\mathrm{d} t+\nabla p\,\mathrm{d}t=\mathrm{d}B, \quad \mathrm{div} u=0. \end{align*} First, for any , we construct infinitely many global-in-time probabilistically strong and analytically weak solutions . These solutions dissipate the energy pathwisely up to a stopping time , which can be chosen arbitrarily large with high probability, i.e. it holds almost surely \begin{align*} \|u(t\wedge\mathfrak{t})\|_{L^2}^2< \|u(s\wedge\mathfrak{t})\|_{L^2}^2 +2 \int_{s\wedge\mathfrak{t}}^{t\wedge\mathfrak{t}} \big\langle u(r), \mathrm{d} B(r) \big\rangle +\mathrm{Tr}\big(GG^*\big) (t\wedge\mathfrak{t}-s\wedge\mathfrak{t}), \end{align*} for any . We also provide a brief proof of energy conservation for based on \cite{CET94}, thereby confirming the Onsager theorem for the stochastic 3D Euler equations. Second, let , we construct infinitely many global-in-time probabilistically strong and analytically weak solutions in for arbitrary divergence-free initial data in . Our construction relies on the convex integration method developed in the deterministic setting by \cite{Ise18}, adapting it to the stochastic context by introducing a novel energy inequality into the convex integration scheme and combining stochastic analysis arguments with a Wong--Zakai type estimate.
Keywords
Cite
@article{arxiv.2505.06915,
title = {A proof of Onsager's conjecture for the stochastic 3D Euler equations},
author = {Huaxiang Lü and Lin Lü and Rongchan Zhu},
journal= {arXiv preprint arXiv:2505.06915},
year = {2025}
}
Comments
59 pages