A model for rank one measure preserving transformations
Su Gao, Aaron Hill

TL;DR
This paper introduces a new model for rank one measure preserving transformations using a Polish topology on the space of codes, showing it shares generic dynamical properties with classical systems.
Contribution
It defines a novel topological framework for symbolic rank one systems and demonstrates their dynamical equivalence to traditional measure preserving transformations.
Findings
The space of codes has the same generic properties as classical rank one transformations.
A new Polish topology on the space of codes is established.
The model captures essential dynamical features of measure preserving systems.
Abstract
We define a model for rank one measure preserving transformations in the sense of [2]. This is done by defining a new Polish topology on the space of codes, which are infinite rank one words, for symbolic rank one systems. We establish that this space of codes has the same generic dynamical properties as the space of (rank one) measure preserving transformations on the unit interval.
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.
Taxonomy
TopicsMathematical Dynamics and Fractals · Advanced Topology and Set Theory · Computability, Logic, AI Algorithms
