Global density equations for a population of actively switching particles
There are many processes in cell biology that can be modelled in terms of an actively switching particle. The continuous degrees of freedom evolve according to a hybrid stochastic differential equation (hSDE) whose drift term depends on a discrete internal or environmental state that switches accord...
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Main Author | |
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Format | Journal Article |
Language | English |
Published |
05.10.2023
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Subjects | |
Online Access | Get full text |
DOI | 10.48550/arxiv.2310.03418 |
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Summary: | There are many processes in cell biology that can be modelled in terms of an
actively switching particle. The continuous degrees of freedom evolve according
to a hybrid stochastic differential equation (hSDE) whose drift term depends on
a discrete internal or environmental state that switches according to a
continuous time Markov chain. In this paper we derive global density equations
for a population of non-interacting actively switching particles, either
independently switching or subject to a common randomly switching environment.
In the case of a random environment, we show that the global particle density
evolves according to a hybrid stochastic partial differential equation (hSPDE).
Averaging with respect to the Gaussian noise processes yields a hybrid partial
differential equation (hPDE) for the one-particle density. We use the
corresponding functional Chapman-Kolmogorov equation to derive moment equations
for the one-particle density and show how a randomly switching environment
induces statistical correlations. We also discuss the effects of particle
interactions, which generate moment closure problems at both the hSPDE and hPDE
levels. The former can be handled by taking a mean field limit, but the
resulting hPDE is now a nonlinear functional of the one-particle density. We
then develop the analogous constructions for independently switching particles.
We introduce a discrete set of global densities that are indexed by the
single-particle internal states. We derive an SPDE for the densities by taking
expectations with respect to the switching process, and then use a slow/fast
analysis to reduce the SPDE to a scalar stochastic Fokker-Planck equation in
the fast-switching limit. We end by deriving path integrals for the global
densities in the absence of interactions and relate this to recent studies of
Brownian gases and run-and-tumble particles. |
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DOI: | 10.48550/arxiv.2310.03418 |