Ergodic results for the stochastic nonlinear Schrödinger equation with large damping
Z Brzeźniak, B Ferrario, M Zanella - Journal of Evolution Equations, 2023 - Springer
Ergodic results for the stochastic nonlinear Schrödinger equation with large damping | Journal
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Ergodicity for the hyperbolic -model
L Tolomeo - arXiv preprint arXiv:2310.02190, 2023 - arxiv.org
We consider the problem of ergodicity for the $ P (\Phi) _2 $ measure of quantum field theory
under the flow of the singular stochastic (damped) wave equation $ u_ {tt}+ u_t+(1-\Delta) …
under the flow of the singular stochastic (damped) wave equation $ u_ {tt}+ u_t+(1-\Delta) …
Asymptotic analysis for the generalized langevin equation with singular potentials
We consider a system of interacting particles governed by the generalized Langevin
equation (GLE) in the presence of external confining potentials, singular repulsive forces, as …
equation (GLE) in the presence of external confining potentials, singular repulsive forces, as …
The short memory limit for long time statistics in a stochastic Coleman-Gurtin model of heat conduction
We study a class of semi-linear differential Volterra equations with polynomial-type
potentials that incorporates the effects of memory while being subjected to random …
potentials that incorporates the effects of memory while being subjected to random …
Long-term accuracy of numerical approximations of SPDEs with the stochastic Navier-Stokes equations as a paradigm
NE Glatt-Holtz, CF Mondaini - arXiv preprint arXiv:2302.01461, 2023 - arxiv.org
This work introduces a general framework for establishing the long time accuracy for
approximations of Markovian dynamical systems on separable Banach spaces. Our results …
approximations of Markovian dynamical systems on separable Banach spaces. Our results …
[HTML][HTML] Ergodicity of a nonlinear stochastic reaction–diffusion equation with memory
HD Nguyen - Stochastic Processes and their Applications, 2023 - Elsevier
We consider a class of semi-linear differential Volterra equations with memory terms,
polynomial nonlinearities and random perturbation. For a broad class of nonlinearities, we …
polynomial nonlinearities and random perturbation. For a broad class of nonlinearities, we …
Exponential mixing for random nonlinear wave equations: weak dissipation and localized control
Z Liu, D Wei, S Xiang, Z Zhang, JC Zhao - arXiv preprint arXiv:2407.15058, 2024 - arxiv.org
We establish a new criterion for exponential mixing of random dynamical systems. Our
criterion is applicable to a wide range of systems, including in particular dispersive …
criterion is applicable to a wide range of systems, including in particular dispersive …
Support set and unique ergodicity of stochastic KdV equation
S Wu, J Huang - Applied Mathematics Letters, 2024 - Elsevier
This paper presents the support set and unique ergodicity of invariant measure given in
Ekren (2018) of stochastic KdV equation, which also offers an answer to the question about …
Ekren (2018) of stochastic KdV equation, which also offers an answer to the question about …
Determining Modes, Synchronization, and Intertwinement
E Carlson, A Farhat, VR Martinez, C Victor - arXiv preprint arXiv …, 2024 - arxiv.org
This article studies the interrelation between the determining modes property in the two-
dimensional (2D) Navier-Stokes equations (NSE) of incompressible fluids and the …
dimensional (2D) Navier-Stokes equations (NSE) of incompressible fluids and the …
Uniqueness of the invariant measure and asymptotic stability for the 2D Navier Stokes equations with multiplicative noise
B Ferrario, M Zanella - arXiv preprint arXiv:2307.03483, 2023 - arxiv.org
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 …
dimensional Navier Stokes equations driven by a multiplicative noise which is either …