Stochastic Liouville equation for particles driven by dichotomous environmental noise

Paul C. Bressloff
Phys. Rev. E 95, 012124 – Published 17 January 2017

Abstract

We analyze the stochastic dynamics of a large population of noninteracting particles driven by a global environmental input in the form of a dichotomous Markov noise process (DMNP). The population density of particle states evolves according to a stochastic Liouville equation with respect to different realizations of the DMNP. We then exploit the connection with previous work on diffusion in randomly switching environments, in order to derive moment equations for the distribution of solutions to the stochastic Liouville equation. We illustrate the theory by considering two simple examples of dichotomous flows, a velocity jump process and a two-state gene regulatory network. In both cases we show how the global environmental input induces statistical correlations between different realizations of the population density.

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  • Received 6 October 2016

DOI:https://doi.org/10.1103/PhysRevE.95.012124

©2017 American Physical Society

Physics Subject Headings (PhySH)

Statistical Physics & ThermodynamicsPhysics of Living Systems

Authors & Affiliations

Paul C. Bressloff

  • Department of Mathematics, University of Utah, 155 South 1400 East, Salt Lake City, Utah 84112, USA

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Issue

Vol. 95, Iss. 1 — January 2017

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