Some Notes on Variational Principle for Metric Mean Dimension

被引:2
|
作者
Yang, Rui [1 ,2 ]
Chen, Ercai [1 ,2 ]
Zhou, Xiaoyao [1 ,2 ]
机构
[1] Nanjing Normal Univ, Sch Math Sci, Nanjing 210023, Jiangsu, Peoples R China
[2] Nanjing Normal Univ, Inst Math, Nanjing 210023, Jiangsu, Peoples R China
基金
中国博士后科学基金; 中国国家自然科学基金;
关键词
Measurement; Entropy; Rate-distortion; Dynamical systems; Distortion measurement; Random variables; Upper bound; Variational principle; metric mean dimension; mean dimension; mean Renyi information dimension; ENTROPY;
D O I
10.1109/TIT.2022.3229058
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
In this note, we establish variational principles for mean dimension and metric mean dimension. Our main results are as follows. (1) We establish a variational principle for metric mean dimension in terms of L-8 rate-distortion function with supremum over all ergodic measures, which answers a question posed by Gutman and Spiewak in (Around the variational principle for metric mean dimension, Studia Math. (2021) 261 345-60). (2) We establish a double variational principle for mean dimension in terms of mean Renyi information dimension for the systems admitting marker property. (3) If the system admits marker property, we show that the order of sup and limsup of the variational principle for metric mean dimension in terms of Renyi information dimension introduced by Gutman and Spiewak (2021) can be exchanged for some "nice" metrics.
引用
收藏
页码:2796 / 2800
页数:5
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