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• W3096903394 abstract "We study variational principles for metric mean dimension. First we prove that in the variational principle of Lindenstrauss and Tsukamoto it suffices to take supremum over ergodic measures. Second we derive a variational principle for metric mean dimension involving growth rates of measure-theoretic entropy of partitions decreasing in diameter which holds in full generality and in particular does not necessitate the assumption of tame growth of covering numbers. The expressions involved are a dynamical version of Renyi information dimension. Third we derive a new expression for Geiger-Koch information dimension rate for ergodic shift-invariant measures. Finally we develop a lower bound for metric mean dimension in terms of Brin-Katok local entropy." @default.
• W3096903394 created "2020-11-09" @default.
• W3096903394 creator A5081350244 @default.
• W3096903394 creator A5088998169 @default.
• W3096903394 date "2020-10-27" @default.
• W3096903394 modified "2023-09-27" @default.
• W3096903394 title "Around the variational principle for metric mean dimension" @default.
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• W3096903394 hasPublicationYear "2020" @default.
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