Stern–Brocot arithmetic in dynamics of a biochemical reaction model

A simple almost fifty year old four-variable model of the peroxidase-oxidase reaction has been studied using 2D isospike stability diagrams, 2D maximum Lyapunov exponent diagrams, and other nonlinear numerical methods. The model contains two positive feedback loops. For slightly different sets of parameters, compared to the original parameters, the model reveals a wealth of dynamic behaviors, not previously reported for this model. For example, contrary to expectations, the model is capable of reproducing all early observations of mixed-mode and bursting oscillations and chaos. Furthermore, for some parameters, the mixed-mode oscillations are organized according to Stern-Brocot arithmetic. The regions of mixed-mode oscillations are separated by narrow regions of chaotic dynamics.

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Publication Details

Journal
Chaos An Interdisciplinary Journal of Nonlinear Science
Published
2024-12-01
DOI
https://doi.org/10.1063/5.0231719
Citations
1
Primary Topic
Gene Regulatory Network Analysis
Type
article
Field-Weighted Citation Impact
0.23
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article

Stern–Brocot arithmetic in dynamics of a biochemical reaction model

Lars Folke Olsen
1 citations
Chaos An Interdisciplinary Journal of Nonlinear Science
Gene Regulatory Network Analysis
0.23
article

Stern–Brocot arithmetic in dynamics of a biochemical reaction model

Lars Folke Olsen
article en
1 citations

Abstract

A simple almost fifty year old four-variable model of the peroxidase-oxidase reaction has been studied using 2D isospike stability diagrams, 2D maximum Lyapunov exponent diagrams, and other nonlinear numerical methods. The model contains two positive feedback loops. For slightly different sets of parameters, compared to the original parameters, the model reveals a wealth of dynamic behaviors, not previously reported for this model. For example, contrary to expectations, the model is capable of reproducing all early observations of mixed-mode and bursting oscillations and chaos. Furthermore, for some parameters, the mixed-mode oscillations are organized according to Stern-Brocot arithmetic. The regions of mixed-mode oscillations are separated by narrow regions of chaotic dynamics.

Chaos An Interdisciplinary Journal of Nonlinear ScienceVol. 34(12)
University of Southern Denmark (DK)
Openalex Percentile: Top 40%
Gene Regulatory Network Analysis
0.23
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