Subshifts of finite symbolic rank
Su Gao, Ruiwen Li

TL;DR
This paper explores the properties of subshifts with finite symbolic rank, establishing their relationship with minimal Cantor systems, and characterizing their topological and factor structures.
Contribution
It provides a comprehensive characterization of minimal subshifts of finite symbolic rank and their connection to finite topological rank systems, including density and factor results.
Findings
Minimal subshifts of finite symbolic rank have finite topological rank.
Every minimal Cantor system of finite topological rank is either an odometer or conjugate to such a subshift.
Infinite odometers and irrational rotations are maximal equicontinuous factors of rank-2 subshifts.
Abstract
The definition of subshifts of finite symbolic rank is motivated by the finite rank measure-preserving transformations which have been extensively studied in ergodic theory. In this paper we study subshifts of finite symbolic rank as essentially minimal Cantor systems. We show that minimal subshifts of finite symbolic rank have finite topological rank, and conversely, every minimal Cantor system of finite topological rank is either an odometer or conjugate to a minimal subshift of finite symbolic rank. We characterize the class of all minimal Cantor systems conjugate to a rank- subshift and show that it is dense but not generic in the Polish space of all minimal Cantor systems. Within some different Polish coding spaces of subshifts we also show that the rank-1 subshifts are dense but not generic. Finally we study topological factors of minimal subshifts of finite symbolic rank. We…
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
