APPLICATION OF WAIST INEQUALITY TO ENTROPY AND MEAN DIMENSION
Résumé
Waist inequality is a fundamental inequality in geometry and topology. We apply it to the study of entropy and mean dimension of dynamical systems. We consider equivariant continuous maps π : (X, T) → (Y, S) between dynamical systems and assume that the mean dimension of the domain (X, T) is larger than the mean dimension of the target (Y, S). We exhibit several situations for which the maps π necessarily have positive conditional metric mean dimension. This study has interesting consequences to the theory of topological conditional entropy. In particular it sheds new light on a celebrated result of Lindenstrauss and Weiss about minimal dynamical systems nonembeddable in [0, 1] Z .
Mots clés
2020 Mathematics Subject Classification. 37B99 54F45 Dynamical system waist inequality topological conditional entropy mean dimension metric mean dimension conditional metric mean dimension
2020 Mathematics Subject Classification. 37B99
54F45 Dynamical system
waist inequality
topological conditional entropy
mean dimension
metric mean dimension
conditional metric mean dimension
Domaines
Mathématiques [math]
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