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Stability and Hopf bifurcation analysis in a delayed three-node circuit involving interlinked positive and negative
Guiyuan Wang1, Zhuoqin Yang1, Marc Turcotte2
1School of Mathematics and Systems Science and LMIB, Beihang University, Beijing 100191, China.
Mathematical Biosciences
|December 12, 2018
Summary
Gene regulatory networks with feedback loops are influenced by time delays. This study analyzes how time delays affect stability and oscillations in three-node circuits using bifurcation theory.
Area of Science:
- Systems Biology
- Molecular Biology
- Biophysics
Background:
- Gene regulatory networks (GRNs) utilize feedback loops for dynamic control.
- Time delays are inherent in GRNs due to spatial separation of transcription and translation.
- Understanding delay effects is crucial for predicting network behavior.
Purpose of the Study:
- To systematically investigate the impact of time delays on the dynamics of a three-node gene regulatory circuit.
- To derive conditions for stability and oscillatory behavior in the presence of multiple time delays.
- To analyze the stability and direction of Hopf bifurcations induced by time delays.
Main Methods:
- Linear stability analysis
- Bifurcation theory
- Hopf bifurcation analysis
- Normal form method
- Center manifold theorem
Main Results:
- Sufficient conditions for the stability of equilibria were established.
- Conditions for oscillatory behaviors via Hopf bifurcation were derived.
- The stability and direction of Hopf bifurcations were analyzed with respect to time delays and feedback strengths.
- Analytical results were illustrated with numerical examples.
Conclusions:
- Time delays significantly influence the stability and oscillatory dynamics of gene regulatory circuits.
- Bifurcation theory provides a robust framework for analyzing delay-induced behaviors in biological networks.
- The findings offer insights into the design principles and robustness of genetic control systems.
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