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We consider the implicit Euler approximation of the stochastic Cahn-Hilliard equation driven by additive Gaussian noise in a spatial domain with smooth boundary in dimension $d\le 3$. We show pathwise existence and uniqueness of solutions…

Numerical Analysis · Mathematics 2016-01-29 Daisuke Furihata , Fredrik Lindgren , Shuji Yoshikawa

Non-uniqueness of three-dimensional Euler equations and Navier-Stokes equations forced by random noise, path-wise and more recently even in law, have been proven by various authors. We prove non-uniqueness in law of the three-dimensional…

Probability · Mathematics 2021-04-22 Kazuo Yamazaki

We consider the stochastic electrokinetic flow in a smooth bounded domain $\mathcal{D}$, modelled by a Nernst-Planck-Navier-Stokes system with a blocking boundary conditions for ionic species concentrations, perturbed by multiplicative…

Analysis of PDEs · Mathematics 2021-12-22 Zhaoyang Qiu , Huaqiao Wang

This article studies the uniqueness of the weak solution of the incompressible Navier-Stokes Equations in the 3-dimensional case. Here, the investigation is provided using two different approaches. The first (the main) result is obtained…

Analysis of PDEs · Mathematics 2024-05-20 Kamal N. Soltanov

In this paper, we establish the well-posedness for the third grade fluid equation perturbed by a multiplicative white noise. This equation describes the motion of a non-Newtonian fluid of differential type with relevant viscoelastic…

Probability · Mathematics 2021-03-12 Fernanda Cipriano , Philippe Didier , Sílvia Guerra

The solutions of SDEs with multiplicative noise are not Markovian. On a coarse-grained time scale they still are, but only in the "anti-Ito" case. This allows a simple computation of the most likely path. Any density peak moves along such a…

General Physics · Physics 2021-09-27 Dietrich Ryter

In this paper, we consider the three-dimensional inhomogeneous Navier-Stokes equations with density-dependent viscosity in presence of vacuum over bounded domains. Global-in-time unique strong solution is proved to exist when $\|\nabla…

Analysis of PDEs · Mathematics 2015-01-05 Xiangdi Huang , Yun Wang

In this paper, we establish the ergodicity for stochastic 2D Navier-Stokes equations driven by a highly degenerate pure jump L\'evy noise. The noise could appear in as few as four directions. This gives an affirmative anwser to a…

Probability · Mathematics 2024-05-02 Xuhui Peng , Jianliang Zhai , Tusheng Zhang

We show existence and pathwise uniqueness of probabilistically strong solutions to a pseudomonotone stochastic evolution problem on a bounded domain $D\subseteq\mathbb{R}^d$, $d\in\mathbb{N}$, with homogeneous Dirichlet boundary conditions…

Probability · Mathematics 2024-03-19 Kerstin Schmitz , Aleksandra Zimmermann

In this paper, we study the existence of random periodic solutions for semilinear stochastic differential equations. We identify them as solutions of coupled forward-backward infinite horizon stochastic integral equations (IHSIEs), using…

Probability · Mathematics 2016-04-28 Chunrong Feng , Yue Wu , Huaizhong Zhao

We consider the globally modified stochastic (hyperviscous) Navier-Stokes equations with transport noise on 3D torus. We first establish the existence and pathwise uniqueness of the weak solutions, and then show their convergence to the…

Probability · Mathematics 2025-01-22 Chang Liu , Dejun Luo

We are concerned with the (stochastic) Lagrangian trajectories associated with Euler or Navier-Stokes equations. First, in the vanishing viscosity limit, we establish sharp non-uniqueness results for positive solutions to transport…

Analysis of PDEs · Mathematics 2025-05-01 Huaxiang Lü , Michael Röckner , Xiangchan Zhu

We study the full Navier--Stokes--Fourier system governing the motion of a general viscous, heat-conducting, and compressible fluid subject to stochastic perturbation. Stochastic effects are implemented through (i) random initial data, (ii)…

Analysis of PDEs · Mathematics 2017-10-31 Dominic Breit , Eduard Feireisl

We present two criteria to conclude that a stochastic partial differential equation (SPDE) posseses a unique maximal strong solution. This paper provides the full details of the abstract well-posedness results first given in…

Analysis of PDEs · Mathematics 2022-09-20 Daniel Goodair , Dan Crisan , Oana Lang

We study the Navier-Stokes equations with transport noise in critical function spaces. Assuming the initial data belongs to $H^{1/2}$ almost surely, we establish the existence and uniqueness of a local-in-time probabilistically strong…

Probability · Mathematics 2025-11-07 Mustafa Sencer Aydın , Fanhui Xu

In this paper, we consider the large deviations of invariant measure for the 3D stochastic hyperdissipative Navier-Stokes equations driven by additive noise. The unique ergodicity of invariant measure as a preliminary result is proved using…

Analysis of PDEs · Mathematics 2023-07-11 Zhaoyang Qiu , Hui Liu , Chengfeng Sun

Many physical, chemical and biological systems have an inherent discrete spatial structure that strongly influences their dynamical behaviour. Similar remarks apply to internal or external noise, as well as to nonlocal coupling. In this…

Probability · Mathematics 2020-03-10 Carina Geldhauser , Christian Kuehn

We consider the stochastic Navier-Stokes equations with multiplicative noise with critical initial data. Assuming that the initial data $u_0$ belongs to the critical space $L^{3}$ almost surely, we construct a unique local-in-time…

Probability · Mathematics 2025-04-09 Mustafa Sencer Aydın , Igor Kukavica , Fanhui Xu

In this work, we investigate the Navier-Stokes equation in the presence of thermal noise, both at finite viscosity (revisiting the seminal work by Forster-Nelson-Stephen) and in the inviscid limit, which has not yet been explored. We…

Fluid Dynamics · Physics 2025-12-22 Liubov Gosteva , Marc Brachet , Léonie Canet

We propose and study a temporal, and spatio-temporal discretisation of the 2D stochastic Navier--Stokes equations in bounded domains supplemented with no-slip boundary conditions. Considering additive noise, we base its construction on the…

Numerical Analysis · Mathematics 2022-03-23 Dominic Breit , Andreas Prohl