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The large time behavior of the unique strong solution to the barotropic compressible Navier-Stokes system is studied with large external forces and initial data, where the shear viscosity is a positive constant and the bulk one is…

偏微分方程分析 · 数学 2023-10-25 Xinyu Fan , Jing Li , Xue Wang

We are dealing with the validity of a large deviation principle for the two-dimensional Navier-Stokes equation, with periodic boundary conditions, perturbed by a Gaussian random forcing. We are here interested in the regime where both the…

概率论 · 数学 2016-03-09 Sandra Cerrai , Arnaud Debussche

In this article we consider viscous flow in the exterior of an obstacle satisfying the standard no-slip boundary condition at the surface of the obstacle. We seek conditions under which solutions of the Navier-Stokes system in the exterior…

偏微分方程分析 · 数学 2009-02-17 D. Iftimie , M. C. Lopes Filho , H. J. Nussenzveig Lopes

This paper investigates the large-time behavior of a buoyancy-driven fluid without thermal diffusion under Navier-slip boundary conditions in a bounded domain with Lipschitz-continuous second derivatives. After establishing improved…

偏微分方程分析 · 数学 2025-02-14 Fabian Bleitner , Elizabeth Carlson , Camilla Nobili

We establish a comprehensive sample path large deviation principle (LDP) for log-processes associated with multivariate time-inhomogeneous stochastic volatility models. Examples of models for which the new LDP holds include Gaussian models,…

概率论 · 数学 2022-11-15 Archil Gulisashvili

We establish the large deviations principle (LDP) and the moderate deviations principle (MDP) and an almost sure version of the central limit theorem (CLT) for the stochastic 3D viscous primitive equations driven by a multiplicative white…

概率论 · 数学 2020-10-27 Jakub Slavík

In this paper, we investigate the vanishing viscosity limit for the 3D nonhomogeneous incompressible Navier-Stokes equations with a slip boundary condition. We establish the local well-posedness of the strong solutions for initial boundary…

偏微分方程分析 · 数学 2017-11-22 Pengfei Chen , Yuelong Xiao , Hui Zhang

In this paper we study the Large Deviation Principle (LDP in abbreviation) for a class of Stochastic Partial Differential Equations (SPDEs) in the whole space $\mathbb{R}^d$, with arbitrary dimension $d\geq 1$, under random influence which…

概率论 · 数学 2015-05-20 Tarik El Mellali , Mohamed Mellouk

The main objective of this paper is to demonstrate the uniform large deviation principle (UDLP) for the solutions of two-dimensional stochastic Navier-Stokes equations (SNSE) in the vorticity form when perturbed by two distinct types of…

概率论 · 数学 2023-04-24 Ankit Kumar , Manil T. Mohan

We consider a sequence of processes defined on half-line for all non negative t. We give sufficient conditions for Large Deviation Principle (LDP) to hold in the space of continuous functions with a new metric that is more sensitive to…

概率论 · 数学 2015-11-30 F. C. Klebaner , A. V. Logachov , A. A. Mogulski

The 2D Euler system, which governs inviscid incompressible fluid flow, can admit infinitely many steady solutions in a given domain with slip boundary conditions. To select physical classical solutions, we investigate the vanishing…

偏微分方程分析 · 数学 2026-05-21 Changfeng Gui , Chunjing Xie , Huan Xu

We prove a Large Deviations Principle (LDP) for systems of diffusions (particles) interacting through their ranks, when the number of particles tends to infinity. We show that the limiting particle density is given by the unique solution of…

We investigate the barotropic compressible Navier-Stokes equations with the Navier-slip boundary conditions in a general two-dimensional bounded simply connected domain. For initial density that is allowed to vanish, we establish the global…

偏微分方程分析 · 数学 2025-07-04 Qinghao Lei , Chengfeng Xiong

A LDP is proved for the inviscid shell model of turbulence. As the viscosity coefficient converges to 0 and the noise intensity is multiplied by the square root of the viscosity, we prove that some shell models of turbulence with a…

概率论 · 数学 2009-11-30 Hakima Bessaih , Annie Millet

This paper is concerned with the general theme of relating the Large Deviation Principle (LDP) for the invariant measures of stochastic processes to the associated sample path LDP. It is shown that if the sample path deviation function…

概率论 · 数学 2023-08-10 Anatolii A. Puhalskii

We prove a large-deviation principle (LDP) for the sample paths of jump Markov processes in the small noise limit when, possibly, all the jump rates vanish uniformly, but slowly enough, in a region of the state space. We further discuss the…

We prove the small-noise large deviation principle (LDP) for stochastic evolution equations in an $L^2$-setting. As the coefficients are allowed to be non-coercive, our framework encompasses a much broader scope than variational settings.…

概率论 · 数学 2025-12-23 Esmée Theewis

We study the large deviations principle (LDP) for stationary solutions of a class of stochastic differential equations (SDE) in infinite time intervals by the weak convergence approach, and then establish the LDP for the invariant measures…

概率论 · 数学 2022-06-07 Peipei Gao , Yong Liu , Yue Sun , Zuohuan Zheng

This paper concerns the barotropic compressible Navier-Stokes equations in a two-dimensional half-space subject to Navier-slip boundary conditions with vacuum or non-vacuum far-field density. The global existence and large-time behavior of…

偏微分方程分析 · 数学 2026-05-29 Qinghao Lei , Weirong Liang

We investigate the global stability of large solutions to the compressible isentropic Navier-Stokes equations in a three-dimensional (3D) bounded domain with Navier-slip boundary conditions. It is shown that the strong solutions converge to…

偏微分方程分析 · 数学 2025-10-17 Yang Liu , Guochun Wu , Xin Zhong