Dynamical properties of single-file diffusion

P. L. Krapivsky, Kirone Mallick, Tridib Sadhu

Research output: Contribution to journalArticlepeer-review

Abstract

We study the statistics of a tagged particle in single-file diffusion, a one-dimensional interacting infinite-particle system in which the order of particles never changes. We compute the two-time correlation function for the displacement of the tagged particle for an arbitrary single-file system. We also discuss single-file analogs of the arcsine law and the law of the iterated logarithm characterizing the behavior of Brownian motion. Using a macroscopic fluctuation theory we devise a formalism giving the cumulant generating functional. In principle, this functional contains the full statistics of the tagged particle trajectory - the full single-time statistics, all multiple-time correlation functions, etc are merely special cases.

Original languageEnglish
Article numberP09007
JournalJournal of Statistical Mechanics: Theory and Experiment
Volume2015
Issue number9
DOIs
Publication statusPublished - 1 Sept 2015
Externally publishedYes

Keywords

  • brownian motion
  • stochastic particle dynamics (theory)
  • stochastic processes (theory)

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