Metric Entropy
Metric Entropy is a measure-theoret paid quantity in dynamical systems theory that characterizes the rate of information production or the average rate of exponential divergence of trajectories with respect to an invariant measure, distinguishing it from topological counterparts by its dependence on the probabilistic structure of the system.
539
Publications
38.5K
Citations
879
Authors
515
Institutions
Publications per year
2017–2026
94
Variants
Ks Entropy
Parents
539
Dimension, entropy and Lyapunov exponents
Lai-Sang Young · Ergodic Theory and Dynamical Systems · 1982 · 645 citations · Full text
Jensen-Shannon divergence and Hilbert space embedding
Bent Fuglede · 2004 · 621 citations
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879
Courant Institute of Mathematical Sciences, United States
7 publications · 1.9K citations
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515

Centre National de la Recherche Scientifique
Paris, France
14 h-index
24 publications
1K citations

Peking University
Beijing, China
11 h-index
22 publications
633 citations

Pennsylvania State University
State College, United States
11 h-index
16 publications
778 citations
University of California, Berkeley
Berkeley, United States
8 h-index
13 publications
376 citations
Friedrich Schiller University Jena
Jena, Germany
8 h-index
11 publications
451 citations
Massachusetts Institute of Technology
Cambridge, United States
7 h-index
7 publications
621 citations
University of California, Santa Barbara
Santa Barbara, United States
7 h-index
7 publications
464 citations
University of Cambridge
Cambridge, United Kingdom
7 h-index
12 publications
8.2K citations
1–8 of 515
26 publications · 2K citations
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JHEP · 15 publications · 1.2K citations
14
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Repository · 18 publications · 469 citations
14
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15 publications · 350 citations
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TRAN · 13 publications · 1.8K citations
13
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