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Statistical solutions, which are time-parameterized probability measures on spaces of square-integrable functions, have been established as a suitable framework for global solutions of incompressible Navier-Stokes equations (NSE). We…

Numerical Analysis · Mathematics 2021-07-14 Pratyuksh Bansal

We present an efficient numerical scheme based on Monte Carlo integration to approximate statistical solutions of the incompressible Euler equations. The scheme is based on finite volume methods, which provide a more flexible framework than…

Numerical Analysis · Mathematics 2022-09-07 Carlos Parés-Pulido

Statistical solutions are time-parameterized probability measures on spaces of integrable functions, that have been proposed recently as a framework for global solutions and uncertainty quantification for multi-dimensional hyperbolic system…

Numerical Analysis · Mathematics 2024-09-23 Ulrik Skre Fjordholm , Kjetil Lye , Siddhartha Mishra , Franziska Weber

We consider the (complete) Euler system describing the motion of a compressible perfect fluid. We propose a platform suitable for constructing the statistical solutions. The main ingredients of our approach include: 1. The concept of…

Analysis of PDEs · Mathematics 2026-02-03 Eduard Feireisl

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…

Analysis of PDEs · Mathematics 2024-03-22 Raphael Wagner , Emil Wiedemann

We combine the spectral (viscosity) method and ensemble averaging to propose an algorithm that computes admissible measure valued solutions of the incompressible Euler equations. The resulting approximate young measures are proved to…

Numerical Analysis · Mathematics 2021-02-22 Samuel Lanthaler , Siddhartha Mishra

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…

Analysis of PDEs · Mathematics 2026-01-30 Benjamin Gess , Robert Lasarzik

We introduce a new concept of dissipative measure-valued martingale solutions to the stochastic compressible Euler equations. These solutions are weak in the probabilistic sense i.e., the probability space and the driving Wiener process are…

Analysis of PDEs · Mathematics 2020-12-15 Martina Hofmanova , Ujjwal Koley , Utsab Sarkar

We study the long time behavior of isentropic compressible Euler equations with linear damping driven by a white-in-time noise, on a one-dimensional torus. We prove the existence of a statistically stationary solution in the class of weak…

Analysis of PDEs · Mathematics 2025-11-03 Jeffrey Kuan , Krutika Tawri , Konstantina Trivisa

A constructive numerical approximation of the two-dimensional unsteady stochastic Navier-Stokes equations of an incompressible fluid is proposed via a pseudo-compressibility technique involving a parameter $\epsilon$. Space and time are…

Numerical Analysis · Mathematics 2022-05-02 Jad Doghman

We study the convergence of stochastic time-discretization schemes for evolution equations driven by random velocity fields, including examples like stochastic gradient descent and interacting particle systems. Using a unified framework…

Functional Analysis · Mathematics 2025-05-28 Giulia Cavagnari , Giuseppe Savaré , Giacomo Enrico Sodini

This work develops Monte Carlo Euler adaptive time stepping methods for the weak approximation problem of jump diffusion driven stochastic differential equations. The main result is the derivation of a new expansion for the omputational…

Numerical Analysis · Mathematics 2007-05-23 E. Mordecki , A. Szepessy , R. Tempone , G. E. Zouraris

We study the three-dimensional incompressible Euler equations subject to stochastic forcing. We develop a concept of dissipative martingale solutions, where the nonlinear terms are described by generalised Young measures. We construct these…

Analysis of PDEs · Mathematics 2021-07-28 Dominic Breit , Thamsanqa Castern Moyo

A new type of systematic approach to study the incompressible Euler equations numerically via the vanishing viscosity limit is proposed in this work. We show the new strategy is unconditionally stable that the $L^2$-energy dissipates and…

Numerical Analysis · Mathematics 2024-06-19 Xinyu Cheng , Zhaonan Luo , Sheng Wang

This paper investigates a numerical probabilistic method for the solution of some semilinear stochastic partial differential equations (SPDEs in short). The numerical scheme is based on discrete time approximation for solutions of systems…

Probability · Mathematics 2015-09-21 Achref Bachouch , Mohamed Anis Ben Lasmar , Anis Matoussi , Mohamed Mnif

The Cauchy problem for the complete Euler system is in general ill posed in the class of admissible (entropy producing) weak solutions. This suggests there might be sequences of approximate solutions that develop fine scale oscillations.…

Numerical Analysis · Mathematics 2018-03-23 Eduard Feireisl , Maria Lukacova-Medvidova , Hana Mizerova

We study statistical solutions of the incompressible Navier-Stokes equation and their vanishing viscosity limit. We show that a formulation using correlation measures, which are probability measures accounting for spatial correlations, and…

Analysis of PDEs · Mathematics 2022-03-24 Ulrik Skre Fjordholm , Siddhartha Mishra , Franziska Weber

The purpose of this work is twofold. First, we construct probabilistically strong solutions to the three-dimensional Euler equations perturbed by additive noise that are $\mathbb{P}$-almost surely continuous in time, H\"older in space, and…

Analysis of PDEs · Mathematics 2026-03-06 Umberto Pappalettera , Francesco Triggiano

The existence of dissipative solutions to the compressible isentropic Navier-Stokes equations was established in this paper. This notion was inspired by the concept of dissipative solutions to the incompressible Euler equations of Lions…

Analysis of PDEs · Mathematics 2021-02-08 Liang Guo , Fucai Li , Cheng Yu

The main difficulty in studying numerical method for stochastic evolution equations (SEEs) lies in the treatment of the time discretization (J. Printems. [ESAIM Math. Model. Numer. Anal. (2001)]). Although fruitful results on numerical…

Numerical Analysis · Mathematics 2023-04-03 Jialin Hong , Derui Sheng , Tau Zhou
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