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Relation between the convective field and the stationary probability distribution of chemical reaction networks

Becker, Lara and Mendler, Marc and Drossel, Barbara (2020):
Relation between the convective field and the stationary probability distribution of chemical reaction networks.
In: New Journal of Physics, 22 (3), IOP Publishing, e-ISSN 1367-2630,
DOI: 10.25534/tuprints-00011572,
[Article]

Abstract

We investigate the relation between the stationary probability distribution of chemical reaction systems and the convective field derived from the chemical Fokker–Planck equation (CFPE) by comparing predictions of the convective field to the results of stochastic simulations based on Gillespie's algorithm. The convective field takes into account the drift term of the CFPE and the reaction bias introduced by the diffusion term. For one-dimensional systems, fixed points and bifurcations of the convective field correspond to extrema and phenomenological bifurcations of the stationary probability distribution whenever the CFPE is a good approximation to the stochastic dynamics. This provides an efficient way to calculate the effect of system size on the number and location of probability maxima and their phenomenological bifurcations in parameter space. For two-dimensional systems, we study models that have saddle-node and Hopf bifurcations in the macroscopic limit. Here, the existence of two stable fixed points of the convective field correlates either with two peaks of the stationary probability distribution, or with a peak and a shoulder. In contrast, a Hopf bifurcation that occurs in the convective field for decreasing system size is not accompanied by the onset of a crater-shaped probability distribution; decreasing system size rather destroys craters and replaces them by local maxima.

Item Type: Article
Erschienen: 2020
Creators: Becker, Lara and Mendler, Marc and Drossel, Barbara
Origin: Secondary publication via sponsored Golden Open Access
Title: Relation between the convective field and the stationary probability distribution of chemical reaction networks
Language: English
Abstract:

We investigate the relation between the stationary probability distribution of chemical reaction systems and the convective field derived from the chemical Fokker–Planck equation (CFPE) by comparing predictions of the convective field to the results of stochastic simulations based on Gillespie's algorithm. The convective field takes into account the drift term of the CFPE and the reaction bias introduced by the diffusion term. For one-dimensional systems, fixed points and bifurcations of the convective field correspond to extrema and phenomenological bifurcations of the stationary probability distribution whenever the CFPE is a good approximation to the stochastic dynamics. This provides an efficient way to calculate the effect of system size on the number and location of probability maxima and their phenomenological bifurcations in parameter space. For two-dimensional systems, we study models that have saddle-node and Hopf bifurcations in the macroscopic limit. Here, the existence of two stable fixed points of the convective field correlates either with two peaks of the stationary probability distribution, or with a peak and a shoulder. In contrast, a Hopf bifurcation that occurs in the convective field for decreasing system size is not accompanied by the onset of a crater-shaped probability distribution; decreasing system size rather destroys craters and replaces them by local maxima.

Journal or Publication Title: New Journal of Physics
Journal volume: 22
Number: 3
Publisher: IOP Publishing
Divisions: 05 Department of Physics
05 Department of Physics > Institute for condensed matter physics
05 Department of Physics > Institute for condensed matter physics > Statistische Physik und komplexe Systeme
Date Deposited: 29 Mar 2020 19:57
DOI: 10.25534/tuprints-00011572
Official URL: https://doi.org/10.1088/1367-2630/ab73c6
URN: urn:nbn:de:tuda-tuprints-115726
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