Asymptotic Stability of Delayed Complex Balanced Reaction Networks with Non-Mass Action Kinetics

Abstract We consider delayed chemical reaction networks with non-mass action monotone kinetics and show that complex balancing implies that within each positive stoichiometric compatibility class there is a unique positive equilibrium that is locally asymptotically stable relative to its class. The main tools of the proofs are respectively a version of the well-known classical logarithmic Lyapunov function applied to kinetic systems and its generalization to the delayed case as a Lyapunov–Krasovskii functional. Finally, we demonstrate our results through illustrative examples.

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Publication Details

Journal
Journal of Nonlinear Science
Published
2024-11-29
DOI
https://doi.org/10.1007/s00332-024-10115-6
Citations
3
Primary Topic
Gene Regulatory Network Analysis
Type
article
Field-Weighted Citation Impact
0.70

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article

Asymptotic Stability of Delayed Complex Balanced Reaction Networks with Non-Mass Action Kinetics

Gábor Szederkényi, Mihály A. Vághy
3 citations
Journal of Nonlinear Science
Gene Regulatory Network Analysis
0.70
article

Asymptotic Stability of Delayed Complex Balanced Reaction Networks with Non-Mass Action Kinetics

Gábor Szederkényi, Mihály A. Vághy
article en
3 citations

Abstract

Abstract We consider delayed chemical reaction networks with non-mass action monotone kinetics and show that complex balancing implies that within each positive stoichiometric compatibility class there is a unique positive equilibrium that is locally asymptotically stable relative to its class. The main tools of the proofs are respectively a version of the well-known classical logarithmic Lyapunov function applied to kinetic systems and its generalization to the delayed case as a Lyapunov–Krasovskii functional. Finally, we demonstrate our results through illustrative examples.

Journal of Nonlinear ScienceVol. 35(1)
Pázmány Péter Catholic University (HU), HUN-REN Institute for Computer Science and Control (HU)
Nemzeti Kutatási Fejlesztési és Innovációs Hivatal, Pázmány Péter Katolikus Egyetem, Nemzeti Kutatási, Fejlesztési és Innovaciós Alap, National Research, Development and Innovation Office
Openalex Percentile: Top 29%
Gene Regulatory Network Analysis
0.70
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Asymptotic Stability of Delayed Complex Balanced Reaction Networks with Non-Mass Action Kinetics — Gábor Szederkényi, Mihály A. Vághy · Journal of Nonlinear Science (2024) | TGRS Research Map | TGRS