Directional complexity and entropy for lift mappings
V. Afraimovich, M. Courbage, L. Glebsky

TL;DR
This paper introduces the concepts of directional complexity and entropy for degree 1 circle maps, relating them to symbolic dynamics and topological entropy, with exact formulas and maximal values derived.
Contribution
It provides the first detailed analysis of directional entropy for circle maps, connecting it to symbolic complexity and topological entropy with explicit formulas.
Findings
Directional entropy equals topological entropy at maximum
Exact formulas for directional entropy are derived
Maximal directional entropy matches topological entropy
Abstract
We introduce and study the notion of a directional complexity and entropy for maps of degree 1 on the circle. For piecewise affine Markov maps we use symbolic dynamics to relate this complexity to the symbolic complexity. We apply a combinatorial machinery to obtain exact formulas for the directional entropy, to find the maximal directional entropy, and to show that it equals the topological entropy of the map. Keywords: Rotation interval, Space-time window, Directional complexity, Directional 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.
Taxonomy
TopicsMathematical Dynamics and Fractals · Advanced Mathematical Theories and Applications · Topological and Geometric Data Analysis
