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We consider systems of damped wave equations with a state-dependent damping coefficient and perturbed by a Gaussian multiplicative noise. Initially, we investigate their well-posedness, under quite general conditions on the friction.…

Probability · Mathematics 2023-12-15 Sandra Cerrai , Arnaud Debussche

We study the validity of a Smoluchowski-Kramers approximation for a class of wave equations in a bounded domain of $\mathbb{R}^n$ subject to a state-dependent damping and perturbed by a multiplicative noise. We prove that in the small mass…

Analysis of PDEs · Mathematics 2021-10-12 Sandra Cerrai , Guangyu Xi

We investigate the Smoluchowski-Kramers approximation for the one-dimensional periodic variational wave equation with state-dependent damping and additive noise. We show that weak ``dissipative'' solutions converge to solutions of a…

Analysis of PDEs · Mathematics 2025-11-18 Billel Guelmame , Julien Vovelle

In this paper, we study the quasi-potential for a general class of damped semilinear stochastic wave equations. We show that, as the density of the mass converges to zero, the infimum of the quasi-potential with respect to all possible…

Probability · Mathematics 2014-03-25 Sandra Cerrai , Michael Salins

We study a family of nonlinear damped wave equations indexed by a parameter $\epsilon >0$ and forced by a space-time white noise on the two dimensional torus, with polynomial and sine nonlinearities. We show that as $\epsilon \to 0$, the…

Analysis of PDEs · Mathematics 2024-10-31 Younes Zine

We investigate the convergence, in the small mass limit, of the stationary solutions of a class of stochastic damped wave equations, where the friction coefficient depends on the state and the noisy perturbation if of multiplicative type.…

Probability · Mathematics 2023-09-06 Sandra Cerrai , Mengzi Xie

By applying Rohlin's result on the classification of homomorphisms of Lebesgue space, the random inertial manifold of a stochastic damped nonlinear wave equations with singular perturbation is proved to be approximated almost surely by that…

Analysis of PDEs · Mathematics 2012-09-04 Yan Lv , Wei Wang , Anthony Roberts

In this paper, we explicitly calculate the quasi-potentials for the damped semilinear stochastic wave equation when the system is of gradient type. We show that in this case the infimum of the quasi-potential with respect to all possible…

Probability · Mathematics 2014-03-25 Sandra Cerrai , Michael Salins

We study the small-mass limit, also known as the Smoluchowski-Kramers diffusion approximation (see \cite{kra} and \cite{smolu}), for a system of stochastic damped wave equations, whose solution is constrained to live in the unitary sphere…

Probability · Mathematics 2024-09-13 Sandra Cerrai , Mengzi Xie

We prove the convergence, in the small mass limit, of statistically invariant states for a class of semi-linear damped wave equations, perturbed by an additive Gaussian noise, both with Lipschitz-continuous and with polynomial…

Probability · Mathematics 2018-06-15 Sandra Cerrai , Nathan Glatt-Holtz

We study the validity of the so-called Smoluchowski-Kramers approximation for a two dimensional system of stochastic partial differential equations, subject to a constant magnetic field. As the small mass limit does not yield to the…

Probability · Mathematics 2014-09-03 Sandra Cerrai , Michael Salins

We investigate the well-posedness of a class of stochastic second-order in time damped evolution equations in Hilbert spaces, subject to the constraint that the solution lie within the unitary sphere. Then, we focus on a specific example,…

Probability · Mathematics 2025-07-01 Sandra Cerrai , Zdzislaw Brzeźniak

A system of stochastic differential equations describing diffusive phenomena, which has arbitrary friction depending on both state and distribution is investigated. The Smoluchowski-Kramers approximation is seen to describe dynamics in the…

Probability · Mathematics 2024-06-27 Xueru Liu , Qianqian Jiang , Wei Wang

We construct unique martingale solutions to the damped stochastic wave equation $$ \mu \frac{\partial^2u}{\partial t^2}(t,x)=\Delta u(t,x)-\frac{\partial u}{\partial t}(t,x)+b(t,x,u(t,x))+\sigma(t,x,u(t,x))\frac{dW_t}{dt},$$ where $\Delta$…

Probability · Mathematics 2025-04-29 Yi Han

We consider a class of stochastic damped semilinear wave equations, in the small-mass limit. It has previously been established that the solution converges to the solution of a stochastic semilinear heat equation. In this work we exhibit…

Probability · Mathematics 2026-04-17 Charles-Edouard Bréhier , Ziyi Lei

Stochastic thermodynamics provides an important framework to explore small physical systems where thermal fluctuations are inevitable. In the studies of stochastic thermodynamics, some thermodynamic quantities, such as the trajectory work,…

Statistical Mechanics · Physics 2018-11-12 Rui Pan , Thai M. Hoang , Zhaoyu Fei , Tian Qiu , Jonghoon Ahn , Tongcang Li , H. T. Quan

We study a class of systems of stochastic differential equations describing diffusive phenomena. The Smoluchowski-Kramers approximation is used to describe their dynamics in the small mass limit. Our systems have arbitrary state-dependent…

Mathematical Physics · Physics 2016-04-29 Scott Hottovy , Austin McDaniel , Giovanni Volpe , Jan Wehr

We discuss here the validity of the small mass limit (the so-called Smoluchowski-Kramers approximation) on a fixed time interval for a class of semi-linear stochastic wave equations, both in the case of the presence of a constant friction…

Probability · Mathematics 2016-02-19 Sandra Cerrai , Mark Freidlin , Michael Salins

We study a family of numerical schemes applied to a class of multiscale systems of stochastic differential equations. When the time scale separation parameter vanishes, a well-known Smoluchowski--Kramers diffusion approximation result…

Numerical Analysis · Mathematics 2022-08-02 Charles-Edouard Bréhier

A fully discrete approximation of the one-dimensional stochastic heat equation driven by multiplicative space-time white noise is presented. The standard finite difference approximation is used in space and a stochastic exponential method…

Numerical Analysis · Mathematics 2017-12-01 Rikard Anton , David Cohen , Lluis Quer-Sardanyons
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