Mixing rates for linear operators under infinitely divisible measures on Banach spaces

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Authors: Camille Mau, Nicolas Privault
Cited by: 0

Abstract

We derive rates of convergence for the mixing of operators under infinitely divisible measures in the framework of linear dynamics on Banach spaces. Our approach is based on the characterization of mixing in terms of codifference functionals and control measures, and extends previous results obtained in the Gaussian setting via the use of covariance operators. Explicit mixing rates are obtained for weighted shifts under compound Poisson, α-stable, and tempered α-stable measures.

Fields of Study & Subjects

Nonlinear Differential Equations Analysis Markov Chains and Monte Carlo Methods Mathematical Dynamics and Fractals

Publication details

Journal / source
Studia Mathematica
Publisher
Institute of Mathematics, Polish Academy of Sciences
Publication date
19 May 2026