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We prove the existence and some moment estimates for an invariant measure $\mu$ for the two-dimensional ($2$D) deterministic Euler equations on the unbounded domain $\mathbb R^2$ and with highly regular initial data. The result is achieved…

概率论 · 数学 2024-09-27 Zdzisław Brzeźniak , Matteo Ferrari

The paper deals with the stochastic two-dimensional Navier-Stokes equation for incompressible fluids, set in a bounded domain with Dirichlet boundary conditions. We consider additive noise in the form $G\, dW$, where $W$ is a cylindrical…

概率论 · 数学 2025-05-13 Matteo Ferrari

We study the ergodic behaviour of the McKean-Vlasov equations driven by common, divergence-free transport noise. In particular, we show that in dimension $d\geq 2$, if the noise is mixing and sufficiently strong it can enforce the…

概率论 · 数学 2026-01-30 Benjamin Gess , Rishabh S. Gvalani , Adrian Martini

Asymptotic behavior of the three-dimensional stochastic Navier-Stokes equations with Markov switching in additive noises is studied for incompressible fluid flow in a bounded domain in the three-dimensional space. To study such a system, we…

概率论 · 数学 2022-03-30 Po-Han Hsu , Padmanabhan Sundar

In this note we review several situations in which stochastic PDEs exhibit ergodic properties. We begin with the basic dissipative conditions, as stated by Da Prato and Zabczyk in their classical monograph. Then we describe the singular…

概率论 · 数学 2024-12-05 Le Chen , Cheng Ouyang , Samy Tindel , Panqiu Xia

We prove here the validity of a large deviation principle for the family of invariant measures associated to a two dimensional Navier-Stokes equation on a torus, perturbed by a smooth additive noise.

概率论 · 数学 2015-09-02 Zdzislaw Brzezniak , Sandra Cerrai

We investigate the well-posedness and long-time behavior of a general continuum neural field model with Gaussian noise on possibly unbounded domains. In particular, we give conditions for the existence of invariant probability measures by…

概率论 · 数学 2025-05-21 Anna-Mariya Otsetova , Jonas M. Tölle

We consider the Navier-Stokes system in three dimensions perturbed by a transport noise which is sufficiently smooth in space and rough in time. The existence of a weak solution was proved recently, however, as in the deterministic setting…

偏微分方程分析 · 数学 2024-04-16 Jorge Cardona , Martina Hofmanova , Torstein Nilssen , Nimit Rana

We consider the Navier-Stokes system in two and three space dimensions perturbed by transport noise and subject to periodic boundary conditions. The noise arises from perturbing the advecting velocity field by space-time dependent noise…

偏微分方程分析 · 数学 2018-08-02 Martina Hofmanová , James-Michael Leahy , Torstein Nilssen

We consider a stochastic perturbation of the $\alpha$-Navier-Stokes model. The stochastic perturbation is an additive space-time noise of trace class. Under a natural condition about the trace of operator $Q$ in front of the noise, we prove…

概率论 · 数学 2020-05-26 Ludovic Goudenège , Luigi Manca

We introduce an analogue to Kato's Criterion regarding the inviscid convergence of stochastic Navier-Stokes flows to the strong solution of the deterministic Euler equation. Our assumptions cover additive, multiplicative and transport type…

概率论 · 数学 2023-08-16 Daniel Goodair , Dan Crisan

We prove that every Markov solution to the three dimensional Navier-Stokes equation with periodic boundary conditions driven by additive Gaussian noise is uniquely ergodic. The convergence to the (unique) invariant measure is exponentially…

数学物理 · 物理学 2009-11-13 Marco Romito

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…

概率论 · 数学 2025-11-07 Mustafa Sencer Aydın , Fanhui Xu

We prove that the any Markov solution to the 3D stochastic Navier-Stokes equations driven by a mildly degenerate noise (i.e.all but finitely many Fourier modes are forced) is uniquely ergodic. This follows by proving strong Feller…

概率论 · 数学 2009-12-10 Lihu Xu , Marco Romito

We consider the Navier-Stokes equation on a two dimensional torus with a random force which is white noise in time, and excites only a finite number of modes. The number of excited modes depends on the viscosity $\nu$, and grows like…

数学物理 · 物理学 2007-05-23 J. Bricmont , A. Kupiainen , R. Lefevere

Magnetohydrodynamics system consists of a coupling of the Navier-Stokes and Maxwell's equations and is most useful in studying the motion of electrically conducting fluids. We prove the existence of a unique invariant, and consequently…

偏微分方程分析 · 数学 2018-09-05 Kazuo Yamazaki

We investigate a stochastic version of the Allen-Cahn-Navier-Stokes system in a smooth two- or three-dimensional domain with random initial data. The system consists of a Navier-Stokes equation coupled with a convective Allen-Cahn equation,…

偏微分方程分析 · 数学 2022-05-31 Andrea Di Primio , Maurizio Grasselli , Luca Scarpa

We establish the uniqueness and the asymptotic stability of the invariant measure for the two dimensional Navier Stokes equations driven by a multiplicative noise which is either bounded or with a sublinear or a linear growth. We work on an…

概率论 · 数学 2023-07-10 Benedetta Ferrario , Margherita Zanella

We study the global-in-time dynamics for a stochastic semilinear wave equation with cubic defocusing nonlinearity and additive noise, posed on the $2$-dimensional torus. The noise is taken to be slightly more regular than space-time white…

偏微分方程分析 · 数学 2021-02-19 Justin Forlano , Leonardo Tolomeo

We prove the existence and uniqueness of global, probabilistically strong, analytically strong solutions of the 2D Stochastic Navier-Stokes Equation under Navier boundary conditions. The choice of noise includes a large class of additive,…

概率论 · 数学 2023-08-17 Daniel Goodair