Abstract
In this paper, a method to explore the limit cycle region in the parameter space of a 2D nonlinear chemical oscillator was provided. Applying the renormalization group method, we derive that the boundaries of the Brusselator oscillator’s limit cycles at various points in parameter space can be predicted. The validity of our method is verified by numerical simulations.
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Notes
A limit cycle is an isolated closed trajectory. Isolated means that neighboring trajectories are not closed [1].
Liénard system is defined as nonlinear differential equation system of the form: \(\ddot{x} + f(x){\dot{x}} + g(x) = 0\). From a mechanical perspective, \(-f(x){\dot{x}}\) is nonlinear damping force, while \(-g(x)\) is nonlinear restoring force [1].
Non-Liénard system refers to nonlinear differential equation systems that do not satisfy the form of Liénard system.
Glycolysis is an energy metabolism process that converts glucose into molecules that can provide energy to the cell. The glycolytic oscillator is a theoretical model that helps us understand how the internal biochemical reactions in a cell generate regular oscillations. These oscillatory phenomena inside cells are crucial for regulating cellular metabolism, adapting to environmental changes, and coordinating the cell’s lifecycle.
The ring domain satisfies the following properties:
(i) Closure and boundedness: It is a closed and bounded subset. (ii) Absence of fixed points: It does not contain any fixed points of the system’s dynamical equations.
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Acknowledgements
The authors are very grateful to the referees for their invaluable suggestions. This work was supported by the Natural Science Foundation of Shandong Province of China (ZR2021MA016).
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LW wrote the main manuscript text and YB gave instructional advice. All authors reviewed the manuscript.
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Appendix
Appendix
Expression for P in Sect. 3.2 Substituting perturbation solution (3.1) and (3.2) into Eqs. (2.10) and (2.11) in the form of
we have
To make it easier to find the second order perturbation equation for X to converge, we write the above equation as
Comparing the coefficients of \(\lambda ^0\), \(\lambda ^1\) and \(\lambda ^2\) of both sides of Eq. (5.1), we can obtain the zeroth order, first order and second order perturbation equations for X respectively
Taking direct derivatives for (3.3), (3.4), (3.10) and (3.18), we obtain \({\dot{X}}_0\), \({\dot{Y}}_0\), \({\dot{X}}_1\) and \({\dot{Y}}_1\), whose expressions are
wherein \(\alpha =\omega t+\theta \). Substituting \(X_0,\,{\dot{X}}_0,\,Y_0,\,{\dot{Y}}_0,\,X_1,\,{\dot{X}}_1,\,Y_1,\,{\dot{Y}}_1\) into the second order perturbation Eq. (5.5) i.e. (3.20) and simplifying with Maple yields the coefficient P of \(\sin \alpha \), see (3.22).
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Wang, L., Bai, Y. Estimation of the Boundary of the Limit Cycle of Brusselator Oscillators by the Renormalization Group Method. Qual. Theory Dyn. Syst. 22, 145 (2023). https://doi.org/10.1007/s12346-023-00843-7
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DOI: https://doi.org/10.1007/s12346-023-00843-7