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Sinai factors of nonsingular systems: Bernoulli shifts and Anosov flows

Kosloff, Zemer; Soo, Terry; (2024) Sinai factors of nonsingular systems: Bernoulli shifts and Anosov flows. Journal of Modern Dynamics , 20 pp. 597-634. 10.3934/jmd.2024016. (In press). Green open access

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Abstract

We show that a totally dissipative system has all nonsingular systems as factors, but that this is no longer true when the factor maps are required to be finitary. In particular, if a nonsingular Bernoulli shift satisfies the Doeblin condition, and has a limiting marginal distribution p, then it cannot have, as a finitary factor, an independent and identically distributed (iid) system of entropy larger than H(p); on the other hand, we show that iid systems with entropy strictly lower than H(p) can be obtained as finitary factors of these Bernoulli shifts, extending Keane and Smorodinsky's finitary version of Sinai's factor theorem to the nonsingular setting. As a consequence of our results we also obtain that every transitive twice continuously differentiable Anosov diffeomorphism on a compact manifold, endowed with volume measure, has iid factors, and if the factor is required to be finitary, then the iid factor cannot have Kolmogorov-Sinai entropy greater than the measure-theoretic entropy of a Sinai-Ruelle-Bowen measure associated with the Anosov diffeomorphism.

Type: Article
Title: Sinai factors of nonsingular systems: Bernoulli shifts and Anosov flows
Open access status: An open access version is available from UCL Discovery
DOI: 10.3934/jmd.2024016
Publisher version: https://doi.org/10.3934/jmd.2024016
Language: English
Additional information: This version is the author-accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions.
UCL classification: UCL
UCL > Provost and Vice Provost Offices > UCL BEAMS
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Maths and Physical Sciences
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Maths and Physical Sciences > Dept of Statistical Science
URI: https://discovery.ucl.ac.uk/id/eprint/10193041
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