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We develop, via Arnold's geometric framework, a mechanism for constructing explicit, smooth, global-in-time, and typically non-stationary solutions of the incompressible Euler equations. The approach introduces a notion of generalized…

Analysis of PDEs · Mathematics 2026-04-08 Patrick Heslin , Stephen C. Preston

In the present work, we investigate stochastic third grade fluids equations in a $d$-dimensional setting, for $d = 2, 3$. More precisely, on a bounded and simply connected domain $\mathcal{D}$ of $\mathbb{R}^d$, $d = 2,3$, with a…

Analysis of PDEs · Mathematics 2023-11-27 Raya Nouira , Fernanda Cipriano , Yassine Tahraoui

We consider the three-dimensional Euler equations in a domain with a free boundary with no surface tension. We assume that $u_0 \in H^{2.5+\delta }$ is such that $\mathrm{curl}\,u_0 \in H^{2+\delta }$ in an arbitrarily small neighborhood of…

Analysis of PDEs · Mathematics 2023-07-07 Igor Kukavica , Wojciech S. Ożański

We prove existence and uniqueness of a solution for the stochastic Allen-Cahn equation with logarithmic potential and multiplicative Wiener noise, under homogeneous Neumann boundary condition. The existence of a solution is obtained in the…

Analysis of PDEs · Mathematics 2020-09-30 Federico Bertacco

Assuming only Sobolev regularity of the domain, we prove time-analyticity of Lagrangian trajectories for solutions of the Euler equations.

Analysis of PDEs · Mathematics 2024-09-04 Juhi Jang , Igor Kukavica , Linfeng Li

We approximate the regular solutions of the incompressible Euler equation by the solution of ODEs on finite-dimensional spaces. Our approach combines Arnold's interpretation of the solution of Euler's equation for incompressible and…

Numerical Analysis · Mathematics 2016-05-03 Thomas Gallouët , Quentin Mérigot

We introduce a damping term for the special relativistic Euler equations in $3$-D and show that the equations reduce to the non-relativistic damped Euler equations in the Newtonian limit. We then write the equations as a symmetric…

General Relativity and Quantum Cosmology · Physics 2015-11-26 Moritz Reintjes

In this paper, we study the stochastic logrithmic Schr\"odinger equation with saturated nonlinear multiplicative L\'evy noise. The global well-posedness is established for the stochastic logrithmic Schr\"odinger equation in an appropriate…

Probability · Mathematics 2025-02-11 Jiahui Zhu , Jianliang Zhai

We consider the stochastic Navier--Stokes equations in three dimensions and prove that the law of analytically weak solutions is not unique. In particular, we focus on three examples of a stochastic perturbation: an additive, a linear…

Probability · Mathematics 2021-10-28 Martina Hofmanová , Rongchan Zhu , Xiangchan Zhu

We show existence, uniqueness and stability for a family of stationary subsonic compressible Euler flows with mass-additions in two-dimensional rectilinear ducts, subjected to suitable time-independent multi-dimensional boundary conditions…

Analysis of PDEs · Mathematics 2022-02-09 Junlei Gao , Hairong Yuan

Neural ODEs are a widely used, powerful machine learning technique in particular for physics. However, not every solution is physical in that it is an Euler-Lagrange equation. We present Helmholtz metrics to quantify this resemblance for a…

Machine Learning · Computer Science 2025-11-11 Luca Wolf , Tobias Buck , Bjoern Malte Schaefer

We study the Navier-Stokes equations in dimension 3 (NS3D) driven by a noise which is white in time. We establish that if the noise is at same time sufficiently smooth and non degenerate in space, then the weak solutions converge…

Analysis of PDEs · Mathematics 2007-05-23 Cyril Odasso

This manuscript concerns the dynamics of non-isentropic compressible Euler equations in a physical vacuum. We establish the Hadamard-style local well-posedness in low-regularity weighted Sobolev spaces, where the gas-vacuum interface is…

Analysis of PDEs · Mathematics 2025-08-04 Sicheng Liu , Tao Luo

The two dimensional stochastic Euler equations (EE) perturbed by a linear multiplicative noise of It\^o type on the bounded domain $\mathcal{O}$ have been considered in this work. Our first aim is to prove the existence of \textsl{global…

Probability · Mathematics 2023-02-14 Kush Kinra , Manil T. Mohan

We propose a two-dimensional generalization of Constantin-Lax-Majda model [2]. Some results about singular solutions are given. This model might be the first step toward the singular solutions of the Euler equations. Along the same line…

Analysis of PDEs · Mathematics 2019-07-23 Dapeng Du

The aim of this work is to prove an existence and uniqueness result of Kato-Fujita type for the Navier-Stokes equations, in vorticity form, in $2-D$ and $3-D$, perturbed by a gradient type multiplicative Gaussian noise (for sufficiently…

Analysis of PDEs · Mathematics 2019-05-08 Ionut Munteanu , Michael Roeckner

For the 2D and 3D Euler equations, their existing exact solutions are often in linear form with respect to variables x,y,z. In this paper, the Clarkson-Kruskal reduction method is applied to reduce the 2D incompressible Euler equations to a…

Mathematical Physics · Physics 2014-01-28 Engui Fan , Manwai Yuen

We consider solutions to the two-dimensional incompressible Euler system with only integrable vorticity, thus with possibly locally infinite energy. With such regularity, we use the recently developed theory of Lagrangian flows associated…

Analysis of PDEs · Mathematics 2015-08-19 Anna Bohun , Francois Bouchut , Gianluca Crippa

In this paper, we establish ergodic and mixing properties of stochastic 2D Navier-Stokes equations driven by a highly degenerate multiplicative Gaussian noise. The noise could appear in as few as four directions and the intensity of the…

Probability · Mathematics 2025-02-27 Zhao Dong , Xuhui Peng

Motivated by fractional derivative models in viscoelasticity, a class of semilinear stochastic Volterra integro-differential equations, and their deterministic counterparts, are considered. A generalized exponential Euler method, named here…

Numerical Analysis · Mathematics 2020-01-17 Mihály Kovács , Stig Larsson , Fardin Saedpanah