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

Fuente: arXiv
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Main Authors: Mau, Camille, Privault, Nicolas
Format: Preprint
Published: 2025
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author Mau, Camille
Privault, Nicolas
author_facet Mau, Camille
Privault, Nicolas
contents 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.
format Preprint
id arxiv_https___arxiv_org_abs_2511_07791
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Mixing rates for linear operators under infinitely divisible measures on Banach spaces
Mau, Camille
Privault, Nicolas
Probability
Functional Analysis
37A25, 60G57, 60E07, 60G52, 37A05
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.
title Mixing rates for linear operators under infinitely divisible measures on Banach spaces
topic Probability
Functional Analysis
37A25, 60G57, 60E07, 60G52, 37A05
url https://arxiv.org/abs/2511.07791