July 2023 Exponential mixing for random dynamical systems and an example of Pierrehumbert
Alex Blumenthal, Michele Coti Zelati, Rishabh S. Gvalani
Author Affiliations +
Ann. Probab. 51(4): 1559-1601 (July 2023). DOI: 10.1214/23-AOP1627

Abstract

We consider the question of exponential mixing for random dynamical systems on arbitrary compact manifolds without boundary. We put forward a robust, dynamics-based framework that allows us to construct space-time smooth, uniformly bounded in time, universal exponential mixers. The framework is then applied to the problem of proving exponential mixing in a classical example proposed by Pierrehumbert in 1994, consisting of alternating periodic shear flows with randomized phases. This settles a longstanding open problem on proving the existence of a space-time smooth (universal) exponentially mixing incompressible velocity field on a two-dimensional periodic domain while also providing a toolbox for constructing such smooth universal mixers in all dimensions.

Funding Statement

AB was supported by National Science Foundation grant DMS-2009431.
MCZ acknowledges funding from the Royal Society through a University Research Fellowship (URF\R1\191492).

Acknowledgments

MCZ would like to thank the Isaac Newton Institute for Mathematical Sciences, Cambridge, for support and hospitality during the programs Mathematical aspects of turbulence and Frontiers in kinetic theory where work on this paper was undertaken.

Citation

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Alex Blumenthal. Michele Coti Zelati. Rishabh S. Gvalani. "Exponential mixing for random dynamical systems and an example of Pierrehumbert." Ann. Probab. 51 (4) 1559 - 1601, July 2023. https://doi.org/10.1214/23-AOP1627

Information

Received: 1 June 2022; Revised: 1 March 2023; Published: July 2023
First available in Project Euclid: 4 June 2023

MathSciNet: MR4597327
zbMATH: 07713555
Digital Object Identifier: 10.1214/23-AOP1627

Subjects:
Primary: 35Q49
Secondary: 37A25 , 37H05 , 76F25

Keywords: Exponential mixing , Lyapunov exponents , random shear flows

Rights: Copyright © 2023 Institute of Mathematical Statistics

Vol.51 • No. 4 • July 2023
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