Loosely Bernoulli Odometer-Based Systems Whose Corresponding Circular Systems Are Not Loosely Bernoulli
Marlies Gerber, Philipp Kunde

TL;DR
This paper demonstrates that the functor linking odometer-based systems to circular systems does not preserve the loosely Bernoulli property, providing examples where this property is lost or gained through the transformation.
Contribution
It shows that the functor $unctor$ does not preserve the loosely Bernoulli property, contrasting with other properties it preserves, through explicit examples.
Findings
Loosely Bernoulli odometer systems can correspond to non-loosely Bernoulli circular systems.
A circular system can be loosely Bernoulli while its odometer counterpart is not.
Examples include systems with zero entropy that differ in the loosely Bernoulli property.
Abstract
M. Foreman and B. Weiss obtained an anti-classification result for smooth ergodic diffeomorphisms, up to measure isomorphism, by using a functor mapping odometer-based systems, , to circular systems, . This functor transfers the classification problem from to , and it preserves weakly mixing extensions, compact extensions, factor maps, the rank-one property, and certain types of isomorphisms. Thus it is natural to ask whether preserves other dynamical properties. We show that does not preserve the loosely Bernoulli property by providing positive and zero entropy examples of loosely Bernoulli odometer-based systems whose corresponding circular systems are not loosely Bernoulli. We also construct a loosely Bernoulli circular system whose corresponding odometer-based system has zero entropy…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
