Exponential mixing for the randomly forced NLS equation

Fuente: arXiv
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Main Authors: Chen, Yuxuan, Xiang, Shengquan, Zhang, Zhifei, Zhao, Jia-Cheng
Format: Preprint
Published: 2025
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author Chen, Yuxuan
Xiang, Shengquan
Zhang, Zhifei
Zhao, Jia-Cheng
author_facet Chen, Yuxuan
Xiang, Shengquan
Zhang, Zhifei
Zhao, Jia-Cheng
contents This paper investigates exponential mixing of the invariant measure for randomly forced nonlinear Schrödinger equation, with damping and random noise localized in space. Our study emphasizes the crucial role of exponential asymptotic compactness and control properties in establishing the ergodic properties of random dynamical systems. This work extends the series [15, 45] on the statistical behavior of randomly forced dispersive equations.
format Preprint
id arxiv_https___arxiv_org_abs_2506_10318
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Exponential mixing for the randomly forced NLS equation
Chen, Yuxuan
Xiang, Shengquan
Zhang, Zhifei
Zhao, Jia-Cheng
Analysis of PDEs
Dynamical Systems
Optimization and Control
Probability
This paper investigates exponential mixing of the invariant measure for randomly forced nonlinear Schrödinger equation, with damping and random noise localized in space. Our study emphasizes the crucial role of exponential asymptotic compactness and control properties in establishing the ergodic properties of random dynamical systems. This work extends the series [15, 45] on the statistical behavior of randomly forced dispersive equations.
title Exponential mixing for the randomly forced NLS equation
topic Analysis of PDEs
Dynamical Systems
Optimization and Control
Probability
url https://arxiv.org/abs/2506.10318