The Inheritance of Local Bifurcations in Mass Action Networks

We consider local bifurcations of equilibria in dynamical systems arising from chemical reaction networks with mass action kinetics. In particular, given any mass action network admitting a local bifurcation of equilibria, assuming only a general transversality condition, we list some enlargements of the network which preserve its capacity for the bifurcation. These results allow us to identify bifurcations in reaction networks from examination of their subnetworks, extending and complementing previous results on the inheritance of nontrivial dynamical behaviours amongst mass action networks. A number of examples are presented to illustrate applicability of the results.

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Publication Details

Journal
Journal of Nonlinear Science
Published
2025-05-17
DOI
https://doi.org/10.1007/s00332-025-10165-4
Primary Topic
Gene Regulatory Network Analysis
Type
article
Field-Weighted Citation Impact
0.00

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article

The Inheritance of Local Bifurcations in Mass Action Networks

Balázs Boros, Murad Banaji, Josef Hofbauer
Journal of Nonlinear Science
Gene Regulatory Network Analysis
article

The Inheritance of Local Bifurcations in Mass Action Networks

Balázs Boros, Murad Banaji, Josef Hofbauer
article en

Abstract

We consider local bifurcations of equilibria in dynamical systems arising from chemical reaction networks with mass action kinetics. In particular, given any mass action network admitting a local bifurcation of equilibria, assuming only a general transversality condition, we list some enlargements of the network which preserve its capacity for the bifurcation. These results allow us to identify bifurcations in reaction networks from examination of their subnetworks, extending and complementing previous results on the inheritance of nontrivial dynamical behaviours amongst mass action networks. A number of examples are presented to illustrate applicability of the results.

Journal of Nonlinear ScienceVol. 35(4)
University of Vienna (AT), University of Oxford (GB)
Austrian Science Fund
Openalex Percentile: Top 90%
Gene Regulatory Network Analysis
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