Model order reduction for the TASEP Master equation

K. Pioch, T. Kriecherbauer, M. Margaliot, L. Grüne

Research output: Contribution to journalConference articlepeer-review

Abstract

The totally asymmetric simple exclusion process (TASEP) is a stochastic model for the unidirectional dynamics of interacting particles on a 1D-lattice that is much used in systems biology and statistical physics. Its master equation describes the evolution of the probability distribution on the state space. The size of the master equation grows exponentially with the length of the lattice. It is known that the complexity of the system may be reduced using mean field approximations. We provide a rigorous derivation and a stochastic interpretation of these approximations and present numerical results on their accuracy for a number of relevant cases.

Original languageEnglish
Pages (from-to)109-114
Number of pages6
JournalIFAC-PapersOnLine
Volume58
Issue number17
DOIs
StatePublished - 1 Aug 2024
Event26th International Symposium on Mathematical Theory of Networks and Systems, MTNS 2024 - Cambridge, United Kingdom
Duration: 19 Aug 202423 Aug 2024

Keywords

  • Markov process
  • Stochastic systems
  • interacting particle systems
  • model reduction
  • moment closure
  • pair-approximation
  • systems biology

All Science Journal Classification (ASJC) codes

  • Control and Systems Engineering

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