English

Effective dynamics of a conditioned generalized linear Glauber model

Statistical Mechanics 2019-02-15 v2 Mathematical Physics math.MP Computational Physics

Abstract

In order to study the stochastic Markov processes conditioned on a specific value of a time-integrated observable, the concept of ensembles of trajectories has been recently used extensively. In this paper, we consider a generic reaction-diffusion process consisting of classical particles with nearest-neighbor interactions on a one-dimensional lattice with periodic boundary conditions. By introducing a time-integrated current as a physical observable, we have found certain constraints on the microscopic transition rates of the process under which the effective process contains local interactions; however, with rescaled transition rates comparing to the original process. A generalization of the linear Glauber model is then introduced and studied in detail as an example. Associated effective dynamics of this model is investigated and constants of motion are obtained.

Keywords

Cite

@article{arxiv.1902.04368,
  title  = {Effective dynamics of a conditioned generalized linear Glauber model},
  author = {Sara Kaviani and Farhad H. Jafarpour},
  journal= {arXiv preprint arXiv:1902.04368},
  year   = {2019}
}

Comments

11 pages, 5 figures, Published 27 July 2018

R2 v1 2026-06-23T07:38:40.311Z