Mixing for dynamical systems driven by stationary noises

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Hauptverfasser: Kuksin, Sergei, Shirikyan, Armen
Format: Preprint
Veröffentlicht: 2025
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author Kuksin, Sergei
Shirikyan, Armen
author_facet Kuksin, Sergei
Shirikyan, Armen
contents The paper deals with the problem of long-time asymptotic behaviour of solutions for classes of ODEs and PDEs, perturbed by stationary noises. The latter are not assumed to be $δ$-correlated in time, so that the evolution in question is not necessarily Markovian. We first prove an abstract result which imply the mixing for random dynamical systems satisfying appropriate dissipativity and controllability conditions. It is applicable to a large class of evolution equations, and we illustrate it on the examples of a chain of anharmonic oscillators coupled to heat reservoirs, the 2d Navier-Stokes system, and a complex Ginzburg-Landau equation. Our results also apply to the general theory of random processes on the 1d lattice and allow one to get for them results related to Dobrushin's theorems on reconstructing processes via their conditional distributions. The proof is based on an iterative construction with quadratic convergence. It uses the method of Kantorovich functional, introduced in [KPS02, Kuk02, Kuk06] in the context of randomly forced PDEs, and some ideas suggested in [Shi15, KNS20] to prove mixing with the help of controllability properties of an associated system
format Preprint
id arxiv_https___arxiv_org_abs_2502_11699
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Mixing for dynamical systems driven by stationary noises
Kuksin, Sergei
Shirikyan, Armen
Probability
Mathematical Physics
Analysis of PDEs
Classical Analysis and ODEs
Dynamical Systems
35Q30, 35Q56, 37H30, 37L40, 60G10, 60H25, 60J05, 76D06, 76F25
The paper deals with the problem of long-time asymptotic behaviour of solutions for classes of ODEs and PDEs, perturbed by stationary noises. The latter are not assumed to be $δ$-correlated in time, so that the evolution in question is not necessarily Markovian. We first prove an abstract result which imply the mixing for random dynamical systems satisfying appropriate dissipativity and controllability conditions. It is applicable to a large class of evolution equations, and we illustrate it on the examples of a chain of anharmonic oscillators coupled to heat reservoirs, the 2d Navier-Stokes system, and a complex Ginzburg-Landau equation. Our results also apply to the general theory of random processes on the 1d lattice and allow one to get for them results related to Dobrushin's theorems on reconstructing processes via their conditional distributions. The proof is based on an iterative construction with quadratic convergence. It uses the method of Kantorovich functional, introduced in [KPS02, Kuk02, Kuk06] in the context of randomly forced PDEs, and some ideas suggested in [Shi15, KNS20] to prove mixing with the help of controllability properties of an associated system
title Mixing for dynamical systems driven by stationary noises
topic Probability
Mathematical Physics
Analysis of PDEs
Classical Analysis and ODEs
Dynamical Systems
35Q30, 35Q56, 37H30, 37L40, 60G10, 60H25, 60J05, 76D06, 76F25
url https://arxiv.org/abs/2502.11699