Oscillation quenching in diffusively coupled dynamical networks with inertial effects
Wei Zou1, Yuxuan Chen1, D V Senthilkumar2
1School of Mathematical Sciences, South China Normal University, Guangzhou 510631, China.
Chaos (Woodbury, N.Y.)
|April 30, 2022
Summary
Adding inertia to coupled systems prevents oscillation quenching. This finding is crucial for understanding rhythmic behaviors in complex networks, offering a new method to maintain oscillations.
Area of Science:
- Complex Systems Dynamics
- Network Science
- Nonlinear Dynamics
Background:
- Self-sustained oscillations are fundamental in physical and biological systems like neural networks and cardiac dynamics.
- Oscillation quenching, where oscillations deteriorate or cease, is a critical phenomenon in coupled dynamical networks.
Purpose of the Study:
- To analyze the effect of inertia on oscillation quenching in diffusively coupled dynamical networks.
- To investigate if inertia can prevent or eradicate oscillation quenching in such systems.
Main Methods:
- Introduced 'inertial' effects into diffusively coupled first-order oscillatory systems.
- Examined diverse quenching scenarios to test the generality of inertia's effect.
- Compared systems with and without inertia to quantify the impact on macroscopic oscillations.
Main Results:
- Even small amounts of inertia can effectively eradicate the onset of oscillation quenching.
- Inertia prevents severe deterioration or complete loss of macroscopic oscillations observed in non-inertial models.
- Inertia acts as a universal mechanism against oscillation quenching, independent of coupling function modifications.
Conclusions:
- System inertia is a key enabler against oscillation quenching in coupled dynamical networks.
- Findings contribute to understanding the emergence and stability of rhythmic behaviors in complex systems with amplitude dynamics.
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