Markov Shifts

Markov Shift is a shift space in symbolic dynamics characterized by a finite set of forbidden transitions between symbols, where the admissibility of sequences is determined by a Markov property that depends only on the current state and a fixed set of allowable next states.

109

Publications

5.9K

Citations

113

Authors

94

Institutions

Publications per year

2017–2026

10

Variants

Markov ShiftSubshift Of Finite Type

Authors

113

  1. KM
    Kengo Matsumoto

    Joetsu University of Education, Japan

    14 publications · 585 citations

    13

    h-index

  2. OS
    Omri Sarig

    Pennsylvania State University, United States

    7 publications · 976 citations

    7

    h-index

  3. MB
    Mike Boyle

    University of Maryland, College Park, United States

    6 publications · 230 citations

    6

    h-index

  4. WK
    Wolfgang Krieger

    Max Planck Institute of Quantum Optics, Germany

    4 publications · 142 citations

    4

    h-index

  5. DF
    Doris Fiebig

    Heidelberg University, Germany

    4 publications · 90 citations

    4

    h-index

1–5 of 113

Venues

  1. Ergodic Theory and Dynamical Systems

    20 publications · 1.2K citations

    15

    h-index

  2. Israel Journal of Mathematics

    10 publications · 409 citations

    10

    h-index

  3. Transactions of the American Mathematical Society

    TRAN · 8 publications · 257 citations

    8

    h-index

  4. Nonlinearity

    4 publications · 71 citations

    4

    h-index

  5. Pacific Journal of Mathematics

    4 publications · 167 citations

    4

    h-index

1–5