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