Oscillation quenching in diffusively coupled dynamical networks with inertial effects

• Published in: Chaos (Woodbury, N.Y.) N.Y.), 2022-04, Vol.32 (4), p.041102-041102
• Main Authors: Zou, Wei, Chen, Yuxuan, Senthilkumar, D. V., Kurths, Jürgen
• Format: Article
• Language: English
• Subjects: Circadian Rhythm; Circadian rhythms; Inertia; Models, Biological; Neural networks; Neural Networks, Computer; Oscillations; Quenching
• ISSN: 1054-1500; 1089-7682
• DOI: 10.1063/5.0087839

Self-sustained oscillations are ubiquitous and of fundamental importance for a variety of physical and biological systems including neural networks, cardiac dynamics, and circadian rhythms. In this work, oscillation quenching in diffusively coupled dynamical networks including “inertial” effects is analyzed. By adding inertia to diffusively coupled first-order oscillatory systems, we uncover that even small inertia is capable of eradicating the onset of oscillation quenching. We consolidate the generality of inertia in eradicating oscillation quenching by extensively examining diverse quenching scenarios, where macroscopic oscillations are extremely deteriorated and even completely lost in the corresponding models without inertia. The presence of inertia serves as an additional scheme to eradicate the onset of oscillation quenching, which does not need to tailor the coupling functions. Our findings imply that inertia of a system is an enabler against oscillation quenching in coupled dynamical networks, which, in turn, is helpful for understanding the emergence of rhythmic behaviors in complex coupled systems with amplitude degree of freedom.