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We establish the local existence of pathwise solutions for the stochastic Euler equations in a three-dimensional bounded domain with slip boundary conditions and a very general nonlinear multiplicative noise. In the two-dimensional case we…

Analysis of PDEs · Mathematics 2012-05-08 Nathan E. Glatt-Holtz , Vlad C. Vicol

We study the isentropic compressible Euler equations in multi-dimensions with stochastic perturbation of transport type. On the one hand, this is motivated by the physical modelling in turbulence theory. On the other hand, it has been shown…

Analysis of PDEs · Mathematics 2025-11-26 Richard Boadi , Dominic Breit , Thamsanqa Castern Moyo

3D stochastic Euler equations with a special form of multiplicative noise are considered. A Constantin-Iyer type representation in Euler-Lagrangian form is given, based on stochastic characteristics. Local existence and uniqueness of…

Probability · Mathematics 2018-03-15 Franco Flandoli , Dejun Luo

In this work we investigate the phenomenon of pathwise non-uniqueness for the stochastic incompressible Euler equations with a passive tracer on the whole Euclidean space. The stochastic perturbations are interpreted as a transport noise…

Probability · Mathematics 2026-04-30 Ashish Bawalia , Zdzisław Brzeźniak , Manil T. Mohan

We establish the existence of infinitely many global and stationary solutions in $C(\mathbb{R};C^{\vartheta})$ space for some $\vartheta>0$ to the three dimensional Euler equations driven by an additive noise. The result is based on a new…

Probability · Mathematics 2025-05-20 Lin Lü , Rongchan Zhu

In this paper we study the inhomogeneous incompressible Euler equations in the whole space $\mathbb{R}^n$ with $n\geq3$. We obtain well-posedness and blow-up results in a new framework for inhomogeneous fluids, more precisely Besov-Herz…

Analysis of PDEs · Mathematics 2023-08-22 Lucas C. F. Ferreira , Daniel F. Machado

The aim of these notes is to give an overview of the current results about existence and uniqueness of solutions for the stochastic Euler equation driven by a Brownian noise in a two-dimensional bounded domain.

Probability · Mathematics 2013-08-16 Hakima Bessaih

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 prove the existence of a unique local strong solution to the stochastic compressible Euler system with nonlinear multiplicative noise. This solution exists up to a positive stopping time and is strong in both the PDE and probabilistic…

Analysis of PDEs · Mathematics 2019-01-31 Dominic Breit , Prince Romeo Mensah

We prove the existence of a unique global strong solution for a stochastic two-dimensional Euler vorticity equation for incompressible flows with noise of transport type. In particular, we show that the initial smoothness of the solution is…

Analysis of PDEs · Mathematics 2020-10-23 Dan Crisan , Oana Lang

We consider stochastic versions of Euler--Arnold equations using the infinite-dimensional geometric approach as pioneered by Ebin and Marsden. For the Euler equation on a compact manifold (possibly with smooth boundary) we establish local…

Probability · Mathematics 2023-11-14 Mario Maurelli , Klas Modin , Alexander Schmeding

This work is devoted to the study of non-Newtonian fluids of grade three on two-dimensional and three-dimensional bounded domains, driven by a nonlinear multiplicative Wiener noise. More precisely, we establish the existence and uniqueness…

Probability · Mathematics 2024-02-27 Yassine Tahraoui , Fernanda Cipriano

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

We study the stochastic effect on the three-dimensional inviscid primitive equations (PEs, also called the hydrostatic Euler equations). Specifically, we consider a larger class of noises than multiplicative noises, and work in the analytic…

Analysis of PDEs · Mathematics 2022-07-06 Ruimeng Hu , Quyuan Lin

This paper investigates the extendability of local solutions for incompressible 3D Navier-Stokes and 3D Euler problems, with initial data $\mathbf{u}_0$ in the Sobolev space $H^s (\mathbb{R}^3)$, where $s$ ensures the existence and…

Analysis of PDEs · Mathematics 2025-03-10 Ulisse Iotti

Stochastic factors are not negligible in applications of hydrostatic Euler equations (EE) and hydrostatic Navier-Stokes equations (NSE). Compared with the deterministic cases for which the ill-posedness of these models in the Sobolev spaces…

Analysis of PDEs · Mathematics 2023-01-20 Ruimeng Hu , Quyuan Lin

In this paper, we prove the global existence and uniqueness of solution to d-dimensional (for $d=2,3$) incompressible inhomogeneous Navier-Stokes equations with initial density being bounded from above and below by some positive constants,…

Analysis of PDEs · Mathematics 2013-01-03 Marius Paicu , Ping Zhang , Zhifei Zhang

We study the theory of local and global strong solution for the stochastic tamed Navier--Stokes equations with multiplicative Wiener and L\'evy jump noise in the whole space $\R^3$. More specifically, we first prove the existence of a…

Analysis of PDEs · Mathematics 2026-05-06 Bikram Podder , Surendra Kumar

It is well known that the incompressible Euler equations can be formulated in a very geometric language. The geometric structures provide very valuable insights into the properties of the solutions. Analogies with the finite-dimensional…

Analysis of PDEs · Mathematics 2013-04-05 Antoine Choffrut , Vladimír Šverák

We establish the existence of infinitely many stationary solutions, as well as ergodic stationary solutions, to the three dimensional Navier--Stokes and Euler equations in both deterministic and stochastic settings, driven by additive…

Probability · Mathematics 2024-07-19 Martina Hofmanová , Rongchan Zhu , Xiangchan Zhu
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