Sequence entropy for amenable group actions
Chunlin Liu, Kesong Yan

TL;DR
This paper explores the use of sequence entropy to analyze amenable group actions, providing new insights into spectrum, mixing properties, and characterizations of weakly mixing and null systems in dynamical systems.
Contribution
It introduces systematic methods for studying spectrum and mixing via sequence entropy and characterizes weakly mixing and null systems using sequence entropy pairs.
Findings
Sequence entropy helps classify mixing properties.
Weakly mixing systems characterized by sequence entropy pairs.
New connections between sequence entropy and system nullity.
Abstract
We study the sequence entropy for amenable group actions and investigate systematically spectrum and several mixing concepts via sequence entropy both in measure-theoretic dynamical systems and topological dynamical systems. Moreover, we use sequence entropy pairs to characterize weakly mixing and null systems.
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 · Computability, Logic, AI Algorithms · Quantum chaos and dynamical systems
