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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 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

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 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

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

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 study the validity of a large deviation principle for a class of stochastic nonlinear damped wave equations, of Klein-Gordon type, in the joint small mass and small noise limit. The friction term is assumed to be state dependent.

Probability · Mathematics 2022-08-30 Sandra Cerrai , Mengzi Xie

The small mass limit is derived for a McKean-Vlasov equation subject to environmental noise with state-dependent friction. By applying the averaging approach to a non-autonomous stochastic slow-fast system with the microscopic and…

Probability · Mathematics 2024-03-11 Chungang Shi , Yan Lv , Wei Wang

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 show that the solutions to the damped stochastic wave equation converge pathwise to the solution of a stochastic heat equation. This is called the Smoluchowski-Kramers approximation. Cerrai and Freidlin have previously demonstrated that…

Probability · Mathematics 2018-02-01 Michael Salins

We establish a scaling limit for autonomous stochastic Newton equations, the solutions are often called nonlinear stochastic oscillators, where the nonlinear drift includes a mean field term of McKean type and the driving noise is Gaussian.…

Probability · Mathematics 2013-03-04 Haidar Al-Talibi , Astrid Hilbert , Vassili Kolokoltsov

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 study the small mass limit (or: the Smoluchowski-Kramers limit) of a class of quantum Brownian motions with inhomogeneous damping and diffusion. For Ohmic bath spectral density with a Lorentz-Drude cutoff, we derive the…

Statistical Mechanics · Physics 2020-12-16 Soon Hoe Lim , Jan Wehr , Aniello Lampo , Miguel Ángel García-March , Maciej Lewenstein

This work is devoted to deriving small mass limiting equation for a class of Hamiltonian systems with multiplicative L\'evy noise. Derivation of the limiting equation depends on the structure of the stochastic Hamiltonian systems, in which…

Probability · Mathematics 2021-05-18 Zibo Wang , Li Lv , Jinqiao Duan

We study the long time statistics of a class of semi--linear damped wave equations with polynomial nonlinearities and perturbed by additive Gaussian noise in dimensions 2 and 3. We find that if sufficiently many directions in the phase…

Probability · Mathematics 2023-07-04 Hung D. Nguyen

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

We study the small mass limit of the equation describing planar motion of a charged particle of a small mass $\mu$ in a force field, containing a magnetic component, perturbed by a stochastic term. We regularize the problem by adding a…

Probability · Mathematics 2020-07-15 Sandra Cerrai , Jan Wehr , Yichun Zhu

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

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
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