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arXiv · 1902.04368

Effective dynamics of a conditioned generalized linear Glauber model

Sara Kaviani·Farhad H. Jafarpour
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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.

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BibTeXRIS

Sara Kaviani, Farhad H. Jafarpour. 2019-02-12. Effective dynamics of a conditioned generalized linear Glauber model. https://doi.org/10.1142/s0217979218502430

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