On variational principle for upper metric mean dimension with potential
Rui Yang, Ercai Chen, Xiaoyao Zhou

TL;DR
This paper develops a variational principle linking upper metric mean dimension with potential to measure-theoretical concepts in dynamical systems, introducing equilibrium states to identify measures that maximize this relationship.
Contribution
It establishes a variational principle for upper metric mean dimension with potential and introduces equilibrium states in this context.
Findings
Proves a variational principle connecting upper metric mean dimension and measure-theoretical dimensions.
Defines and characterizes equilibrium states for the variational principle.
Provides a framework for analyzing dynamical systems via these new concepts.
Abstract
Borrowing the idea of topological pressure determining measure-theoretical entropy in topological dynamical systems, we establish a variational principle for upper metric mean dimension with potential in terms of upper measure-theoretical metric mean dimension of invariant measures. Moreover, the notion of equilibrium state is introduced to characterize these measures that attain the supremum of the variational principle.
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Taxonomy
TopicsMathematical Dynamics and Fractals · Phagocytosis and Immune Regulation
