Statistical solutions of the incompressible Euler equations

Fuente: arXiv
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Hauptverfasser: Wagner, Raphael, Wiedemann, Emil
Format: Preprint
Veröffentlicht: 2022
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author Wagner, Raphael
Wiedemann, Emil
author_facet Wagner, Raphael
Wiedemann, Emil
contents We study statistical solutions of the incompressible Euler equations in two dimensions with vorticity in $L^p$, $1\leq p \leq \infty$, and in the class of vortex-sheets with a distinguished sign. Our notion of statistical solution is based on the framework due to Bronzi, Mondaini and Rosa. Existence in this setting is shown by approximation with discrete measures, concentrated on deterministic solutions of the Euler equations. Additionally, we provide arguments to show that the statistical solutions of the Euler equations may be obtained in the inviscid limit of statistical solutions of the incompressible Navier-Stokes equations. Uniqueness of trajectory statistical solutions is shown in the Yudovich class.
format Preprint
id arxiv_https___arxiv_org_abs_2205_08388
institution arXiv
publishDate 2022
record_format arxiv
spellingShingle Statistical solutions of the incompressible Euler equations
Wagner, Raphael
Wiedemann, Emil
Analysis of PDEs
We study statistical solutions of the incompressible Euler equations in two dimensions with vorticity in $L^p$, $1\leq p \leq \infty$, and in the class of vortex-sheets with a distinguished sign. Our notion of statistical solution is based on the framework due to Bronzi, Mondaini and Rosa. Existence in this setting is shown by approximation with discrete measures, concentrated on deterministic solutions of the Euler equations. Additionally, we provide arguments to show that the statistical solutions of the Euler equations may be obtained in the inviscid limit of statistical solutions of the incompressible Navier-Stokes equations. Uniqueness of trajectory statistical solutions is shown in the Yudovich class.
title Statistical solutions of the incompressible Euler equations
topic Analysis of PDEs
url https://arxiv.org/abs/2205.08388