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

Authors

879

  1. LY
    Lai-Sang Young

    Courant Institute of Mathematical Sciences, United States

    7 publications · 1.9K citations

    7

    h-index

  2. WL
    Werner Linde

    Friedrich Schiller University Jena, Germany

    5 publications · 249 citations

    5

    h-index

  3. EM
    Esfandiar Maasoumi

    Southern Methodist University, United States

    5 publications · 176 citations

    5

    h-index

  4. RM
    R. M. Dudley

    Massachusetts Institute of Technology, United States

    5 publications · 522 citations

    5

    h-index

  5. PS
    Pengjian Shang

    Beijing Jiaotong University, China

    4 publications · 93 citations

    4

    h-index

1–5 of 879

Venues

  1. Ergodic Theory and Dynamical Systems

    26 publications · 2K citations

    18

    h-index

  2. Journal of High Energy Physics

    JHEP · 15 publications · 1.2K citations

    14

    h-index

  3. arXiv (Cornell University)

    Repository · 18 publications · 469 citations

    14

    h-index

  4. Nonlinearity

    15 publications · 350 citations

    13

    h-index

  5. Transactions of the American Mathematical Society

    TRAN · 13 publications · 1.8K citations

    13

    h-index

1–5