Properties of mean dimension and metric mean dimension coming from the topological entropy
Jeovanny de Jesus Muentes Acevedo, Carlos Rafael Payares Guevara

TL;DR
This paper investigates properties of mean dimension and metric mean dimension, showing their similarities to topological entropy and revealing discontinuity and non-lower semi-continuity in certain settings.
Contribution
It verifies which properties of topological entropy extend to mean dimension and metric mean dimension, highlighting their discontinuity and semi-continuity characteristics.
Findings
Metric mean dimension map is nowhere continuous on certain spaces.
Metric mean dimension is not lower semi-continuous on the interval and circle.
Properties of topological entropy do not always carry over to mean dimensions.
Abstract
In the late 1990's, M. Gromov introduced the notion of mean dimension for a continuous map, which is, as well as the topological entropy, an invariant under topological conjugacy. The concept of metric mean dimension for a dynamical system was introduced by Lindenstrauss and Weiss in 2000. In this paper we will verify which properties coming from the topological entropy map are valid for both mean dimension and metric mean dimension. In particular, we will prove that the metric mean dimension map is not continuous anywhere on the set consisting of continuous maps on both the Cantor set, the interval or the circle. Finally we prove that the metric mean dimension on the set consisting of continuous map on the interval and on the circle is not lower semi-continuous.
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 · Chromatography in Natural Products · Advanced Mathematical Theories and Applications
