Lattice models of nonequilibrium bacterial dynamics

A. G. Thompson, J. Tailleur, Michael Cates, Richard Blythe

Research output: Contribution to journalArticlepeer-review

Abstract / Description of output

We study a model of self-propelled particles exhibiting run-and-tumble dynamics on a lattice. This non-Brownian diffusion is characterized by a random walk with a finite persistence length between changes of direction and is inspired by the motion of bacteria such as E. coli. By defining a class of models with multiple species of particles and transmutation between species we can recreate such dynamics. These models admit exact analytical results whilst also forming a counterpart to previous continuum models of run-and-tumble dynamics. We solve the externally driven non-interacting and zero-range versions of the model exactly and utilize a field-theoretic approach to derive the continuum fluctuating hydrodynamics for more general interactions. We make contact with prior approaches to run-and-tumble dynamics off lattice and determine the steady state and linear stability for a class of crowding interactions, where the jump rate decreases as density increases. In addition to its interest from the perspective of nonequilibrium statistical mechanics, this lattice model constitutes an efficient tool to simulate a class of interacting run-and-tumble models relevant to bacterial motion, so long as certain conditions (that we derive) are met.

Original languageEnglish
Article numberP02029
Pages (from-to)-
Number of pages34
Journal Journal of Statistical Mechanics: Theory and Experiment
DOIs
Publication statusPublished - Feb 2011

Keywords / Materials (for Non-textual outputs)

  • solvable lattice models
  • stochastic particle dynamics (theory)
  • self-propelled particles
  • PATH-INTEGRAL APPROACH
  • ZERO-RANGE PROCESS
  • FLAGELLAR FILAMENTS
  • ESCHERICHIA-COLI
  • CHEMOTAXIS
  • SYSTEMS
  • STATES

Fingerprint

Dive into the research topics of 'Lattice models of nonequilibrium bacterial dynamics'. Together they form a unique fingerprint.

Cite this