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Interacting Markov Processes

  • Thomas M. Liggett
Part of the Lecture Notes in Biomathematics book series (LNBM, volume 38)

Abstract

Interacting Markov processes are obtained by superimposing some type of interaction on many otherwise independent Markovian subsystems. As a result of the interaction, the subsystems fail to have the Markov property; the system as a whole remains Markovian, however. This subject has grown rapidly during the past decade. It is a branch of modern probability theory, but it draws much of its inspiration and motivation from various areas of science, including physics and biology.

Keywords

Invariant Measure Ergodic Theorem Exclusion Process Infinite System Duality Relation 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 1980

Authors and Affiliations

  • Thomas M. Liggett
    • 1
  1. 1.University of California, Los AngelesLos AngelesUSA

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