Metric entropy is an important isomorphic invariant in classical ergodic theory and it is one of the most accepted tools to characterize the complexity of dynamical systems. A capacity is a real-valued function but it is not additive. In contrast to the traditional measure preserving systems, the more general capacity preserving systems are investigated and an analogical metric entropy is introduced for such systems. The properties of metric entropy with respect to capacities are explored and comparison with the classical metric entropy is conducted. (c) 2022 Elsevier B.V. All rights reserved.
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Michigan State Univ, Dept Math, E Lansing, MI 48824 USAMichigan State Univ, Dept Math, E Lansing, MI 48824 USA
Hu, Huyi
Jiang, Miaohua
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Wake Forest Univ, Dept Math & Stat, Winston Salem, NC 27109 USAMichigan State Univ, Dept Math, E Lansing, MI 48824 USA
Jiang, Miaohua
Jiang, Yunping
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CUNY Queens Coll, Dept Math, Flushing, NY 11367 USA
CUNY, Grad Ctr, Dept Math, New York, NY 10016 USAMichigan State Univ, Dept Math, E Lansing, MI 48824 USA
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Vaughn Coll Aeronaut & Technol, Dept Arts & Sci, Flushing, NY 11369 USAVaughn Coll Aeronaut & Technol, Dept Arts & Sci, Flushing, NY 11369 USA
Addabbo, Raymond
Blackmore, Denis
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New Jersey Inst Technol, Dept Math Sci, Newark, NJ 07102 USA
New Jersey Inst Technol, Ctr Appl & Computat Math, Newark, NJ 07102 USAVaughn Coll Aeronaut & Technol, Dept Arts & Sci, Flushing, NY 11369 USA