A nontrivial scaling limit for multiscale Markov chains

R. E.Lee Deville, Eric Vanden-Eijnden

Research output: Contribution to journalArticlepeer-review

Abstract

We consider Markov chains with fast and slow variables and show that in a suitable scaling limit, the dynamics becomes deterministic, yet is far away from the standard mean field approximation. This new limit is an instance of self-induced stochastic resonance which arises due to matching between a rare event timescale on the one hand and the natural timescale separation in the underlying problem on the other. Here it is illustrated on a model of a molecular motor, where it is shown to explain the regularity of the motor gait observed in some experiments.

Original languageEnglish (US)
Pages (from-to)75-94
Number of pages20
JournalJournal of Statistical Physics
Volume126
Issue number1
DOIs
StatePublished - Jan 2007

Keywords

  • Large deviations
  • Markov chain
  • Molecular motors
  • Scaling limit
  • Self-induced stochastic resonance

ASJC Scopus subject areas

  • Statistical and Nonlinear Physics
  • Mathematical Physics

Fingerprint Dive into the research topics of 'A nontrivial scaling limit for multiscale Markov chains'. Together they form a unique fingerprint.

Cite this