Double variational principle for mean dimension
Elon Lindenstrauss, Masaki Tsukamoto

TL;DR
This paper establishes a new variational principle linking mean dimension and rate distortion theory, demonstrating their equality under certain conditions and combining multiple mathematical disciplines.
Contribution
It introduces a novel minimax framework connecting mean dimension with rate distortion dimension for systems with the marker property.
Findings
Minimax value equals mean dimension for systems with the marker property.
Existence of a metric where upper metric mean dimension equals mean dimension.
New integration of ergodic theory, rate distortion, and geometric measure theory.
Abstract
We develop a variational principle between mean dimension theory and rate distortion theory. We consider a minimax problem about the rate distortion dimension with respect to two variables (metrics and measures). We prove that the minimax value is equal to the mean dimension for a dynamical system with the marker property. The proof exhibits a new combination of ergodic theory, rate distortion theory and geometric measure theory. Along the way of the proof, we also show that if a dynamical system has the marker property then it has a metric for which the upper metric mean dimension is equal to the mean dimension.
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 · Mathematical Biology Tumor Growth
