Probabilistically Strong Solutions to Stochastic Euler Equations

Fuente: arXiv
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Auteurs principaux: Gess, Benjamin, Lasarzik, Robert
Format: Preprint
Publié: 2026
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author Gess, Benjamin
Lasarzik, Robert
author_facet Gess, Benjamin
Lasarzik, Robert
contents In this paper, we establish the existence of probabilistically strong, measure-valued solutions for the stochastic incompressible Navier--Stokes equations and prove their convergence, in the vanishing viscosity limit, to probabilistically strong solutions for the stochastic incompressible Euler equations. In particular, this solves the open problem of constructing probabilistically strong solutions for the stochastic Euler equations that satisfy the energy inequality for general $L^2$ initial data. We introduce the concept of energy-variational solutions in the stochastic context in order to treat the nonlinearities without changing the probability space. Furthermore, we extend these results to fluids driven by transport noise.
format Preprint
id arxiv_https___arxiv_org_abs_2601_22073
institution arXiv
publishDate 2026
record_format arxiv
spellingShingle Probabilistically Strong Solutions to Stochastic Euler Equations
Gess, Benjamin
Lasarzik, Robert
Analysis of PDEs
60H15, 35R60, 35D99, 76B03, 35Q35
In this paper, we establish the existence of probabilistically strong, measure-valued solutions for the stochastic incompressible Navier--Stokes equations and prove their convergence, in the vanishing viscosity limit, to probabilistically strong solutions for the stochastic incompressible Euler equations. In particular, this solves the open problem of constructing probabilistically strong solutions for the stochastic Euler equations that satisfy the energy inequality for general $L^2$ initial data. We introduce the concept of energy-variational solutions in the stochastic context in order to treat the nonlinearities without changing the probability space. Furthermore, we extend these results to fluids driven by transport noise.
title Probabilistically Strong Solutions to Stochastic Euler Equations
topic Analysis of PDEs
60H15, 35R60, 35D99, 76B03, 35Q35
url https://arxiv.org/abs/2601.22073