Sufficient Conditions for the Energy Balance for the Stochastic Incompressible Euler Equations with Additive Noise in two Space Dimensions

Fuente: arXiv
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Auteurs principaux: Rohner, Tobias, Weber, Franziska
Format: Preprint
Publié: 2025
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author Rohner, Tobias
Weber, Franziska
author_facet Rohner, Tobias
Weber, Franziska
contents We consider vanishing viscosity approximations to solutions of the stochastic incompressible Euler equations in two space dimensions with additive noise. We identify sufficient and necessary conditions under which martingale solutions of the stochastic Euler equations satisfy an exact energy balance in mean. We find that the tightness of the laws of the approximating sequence of solutions of the stochastic Navier-Stokes equations in $L^2([0,T]\times D)$ is equivalent to the limiting martingale solution satisfying an energy balance in mean. Numerical simulations illustrate the theoretical findings.
format Preprint
id arxiv_https___arxiv_org_abs_2502_17732
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Sufficient Conditions for the Energy Balance for the Stochastic Incompressible Euler Equations with Additive Noise in two Space Dimensions
Rohner, Tobias
Weber, Franziska
Probability
Numerical Analysis
Analysis of PDEs
We consider vanishing viscosity approximations to solutions of the stochastic incompressible Euler equations in two space dimensions with additive noise. We identify sufficient and necessary conditions under which martingale solutions of the stochastic Euler equations satisfy an exact energy balance in mean. We find that the tightness of the laws of the approximating sequence of solutions of the stochastic Navier-Stokes equations in $L^2([0,T]\times D)$ is equivalent to the limiting martingale solution satisfying an energy balance in mean. Numerical simulations illustrate the theoretical findings.
title Sufficient Conditions for the Energy Balance for the Stochastic Incompressible Euler Equations with Additive Noise in two Space Dimensions
topic Probability
Numerical Analysis
Analysis of PDEs
url https://arxiv.org/abs/2502.17732