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Related papers: Large deviations for 2D-fractional stochastic Navi…

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In this paper, we present an error estimate of a second-order linearized finite element (FE) method for the 2D Navier-Stokes equations with variable density. In order to get error estimates, we first introduce an equivalent form of the…

Numerical Analysis · Mathematics 2023-07-31 Jingjing Pan , Wentao Cai

In this paper, we establish temporal decay for a weak solution $u(x,t)$ (with initial data $u_0$) of the Navier-Stokes equations with supercritical fractional dissipation $\alpha \in (0,\frac{5}{4})$ in $L^2(\mathbb{R}^3)$ and…

Analysis of PDEs · Mathematics 2024-06-04 Wilberclay G. Melo

Approximation of the marginal distribution of the solution of the stochastic Navier-Stokes equations on the two-dimensional torus by high order numerical methods is considered. The corresponding rates of convergence are obtained for a…

Numerical Analysis · Mathematics 2011-05-16 Philipp Doersek

Inspired by some experimental (numerical) works on fractional diffusion PDEs, we develop a rigorous framework to prove that solutions to the fractional Navier-Stokes equations, which involve the fractional Laplacian operator…

Analysis of PDEs · Mathematics 2023-11-01 Oscar Jarrin , Geremy Loachamin

We consider the 3D incompressible Navier-Stokes equations under the following $2+\frac{1}{2}$-dimensional situation: small-scale horizontal vortex blob being stretched by large-scale, anti-parallel pairs of vertical vortex tubes. We prove…

Analysis of PDEs · Mathematics 2020-06-08 In-Jee Jeong , Tsuyoshi Yoneda

We establish a connection between the strong solution to the spatially periodic Navier-Stokes equations and a solution to a system of forward-backward stochastic differential equations (FBSDEs) on the group of volume-preserving…

Probability · Mathematics 2010-01-21 Ana Bela Cruzeiro , Evelina Shamarova

We prove that some discretization schemes for the 2D Navier-Stokes equations subject to a random perturbation converge in $L^2(\Omega)$. This refines previous results which only established the convergence in probability of these numerical…

Probability · Mathematics 2022-10-11 Hakima Bessaih , Annie Millet

We consider the weakly asymmetric exclusion process on the $d$-dimensional torus. We prove a large deviations principle for the time averaged empirical density and current in the joint limit in which both the time interval and the number of…

Probability · Mathematics 2021-11-12 Lorenzo Bertini , Davide Gabrielli , Claudio Landim

In this paper we study the stochastic Navier-Stokes equations on the $d$-dimensional torus with transport noise, which arise in the study of turbulent flows. Under very weak smoothness assumptions on the data we prove local well-posedness…

Analysis of PDEs · Mathematics 2023-12-12 Antonio Agresti , Mark Veraar

We consider the strong solution of the 2D Navier-Stokes equations in a torus subject to an additive noise. We implement a fully implicit time numerical scheme and a finite element method in space. We prove that the rate of convergence of…

Numerical Analysis · Mathematics 2022-10-11 Hakima Bessaih , Annie Millet

We prove the large deviations principle (LDP) for the law of the solutions to a class of semilinear stochastic partial differential equations driven by multiplicative noise. Our proof is based on the weak convergence approach and…

Probability · Mathematics 2016-07-05 Mohammud Foondun , Leila Setayeshgar

We establish a large deviation principle for the occupation measure of the stochastic real Ginzburg-Landau equation driven by $\alpha$-stable noises. The proof is based on a hyper-exponential recurrence criterion. Our result indicates a…

Probability · Mathematics 2015-10-14 Ran Wang , Jie Xiong , Lihu Xu

We derive for the Navier-Stokes equation an exact equation satisfied by the dissipation rate correlation function. In the equal time limit, in the inertial range, for the homogeneous, isotropic state of fully-developed turbulence, we show…

Chaotic Dynamics · Physics 2007-05-23 C. Jayaprakash , F. Hayot

In this paper, we show that for $\alpha\in(1/2,5/4)$, there exists a force $f$ and two distinct Leray-Hopf flows $u_1,u_2$ solving the forced fractional Navier-Stokes equation starting from rest. This shows that the J.L. Lions exponent is…

Analysis of PDEs · Mathematics 2024-04-23 Calvin Khor , Changxing Miao , Xiaoyan Su

We prove convergence of a finite difference approximation of the compressible Navier--Stokes system towards the strong solution in $R^d,$ $d=2,3,$ for the adiabatic coefficient $\gamma>1$. Employing the relative energy functional, we find a…

Numerical Analysis · Mathematics 2020-02-19 Hana Mizerova , Bangwei She

In this paper, we consider the forced incompressible Navier-Stokes equations with vanishing viscosity on the three-dimensional torus. We show that there are (classical) solutions for which the dissipation rate of the kinetic energy is…

Analysis of PDEs · Mathematics 2023-01-25 Elia Bruè , Camillo De Lellis

We study the large time behavior of Fujita-Kato type solutions to the Vlasov-Navier-Stokes system set on $\mathbb{T}^3 \times \mathbb{R}^3$. Under the assumption that the initial so-called modulated energy is small enough, we prove that the…

Analysis of PDEs · Mathematics 2020-03-18 Daniel Han-Kwan , Ayman Moussa , Iván Moyano

Using the weak convergence approach, we prove the large deviation principle (LDP) for solutions to quasilinear stochastic evolution equations with small Gaussian noise in the critical variational setting, a recently developed general…

Probability · Mathematics 2026-02-23 Esmée Theewis , Mark Veraar

In this paper we consider the initial value problem of the incompressible generalized Navier-Stokes equations in torus $\mathbb{T}^d$ with $d \geq 2$. The generalized Navier-Stokes equations is obtained by replacing the standard Laplacian…

Analysis of PDEs · Mathematics 2025-02-24 Yuan-Xin Lin , Ya-Guang Wang

In this paper, we rigorously derive the compressible one-fluid Navier-Stokes equation from the scaled compressible two-fluid Navier-Stokes-Maxwell equations locally in time under the assumption that the initial data are well prepared. We…

Analysis of PDEs · Mathematics 2022-03-21 Yi Peng , Huaqiao Wang