Ergodicity Of Diffusions

Ergodicity of Diffusions is a theoretical property in stochastic process theory characterizing a diffusion process whose time averages almost surely converge to the corresponding ensemble averages with respect to a unique invariant distribution, thereby ensuring long-term statistical stability and representativeness of sample paths.

606

Publications

32.1K

Citations

847

Authors

516

Institutions

Publications per year

2017–2026

96

Authors

847

  1. RM
    Ralf Metzler

    University of Potsdam, Germany

    31 publications · 5.5K citations

    27

    h-index

  2. AG
    Andrey G. Cherstvy

    University of Potsdam, Germany

    18 publications · 3.4K citations

    18

    h-index

  3. EB
    Eli Barkai

    Bar-Ilan University, Israel

    15 publications · 4.4K citations

    15

    h-index

  4. TA
    Takuma Akimoto

    Keio University, Japan

    10 publications · 439 citations

    10

    h-index

  5. MR
    Michael Röckner

    Bielefeld University, Germany

    7 publications · 317 citations

    7

    h-index

1–5 of 847

Venues

  1. Stochastic Processes and their Applications

    38 publications · 1.9K citations

    25

    h-index

  2. Physical Review E

    PRE · 16 publications · 1.3K citations

    16

    h-index

  3. Probability Theory and Related Fields

    20 publications · 742 citations

    16

    h-index

  4. Physical review. E

    PRE · 23 publications · 781 citations

    15

    h-index

  5. The Annals of Probability

    15 publications · 956 citations

    14

    h-index

1–5