Effect of phase-lag on synchronization in adaptive multilayer networks with higher-order interactions
Anath Bandhu Das, Sangita Dutta, and Pinaki Pal

TL;DR
This paper analyzes how phase lag influences the transition to synchronization in adaptive multilayer networks with higher-order interactions, revealing complex behaviors and the impact of various parameters through analytical and numerical methods.
Contribution
It introduces a low-dimensional model based on the Ott-Antonsen ansatz to study synchronization transitions in complex multilayer networks with higher-order interactions and phase frustration.
Findings
Various types of synchronization transitions observed, including continuous, tiered, and explosive.
Phase frustration inhibits certain synchronization transitions but promotes others depending on coupling strengths.
The low-dimensional model accurately predicts the system's behavior and helps understand the origins of different transitions.
Abstract
We investigate the transition to synchronization in adaptive multilayer networks with higher-order interactions both analytically and numerically in the presence of phase frustration (). The higher order topology consists of pairwise and triadic couplings. The analytical framework for the investigation is based on the Ott-Antonsen ansatz which leads to a convenient low-dimensional model. Extensive bifurcation analysis of the low-dimensional model and the numerical simulation of the full networks are performed to explore the paths to synchronization. The combined analysis shows a complex dependence of the transition to synchronization on adaptation exponents, coupling strengths, phase lag parameter, and multilayer configuration. Various types of transitions to synchronization, namely continuous, tiered, and explosive, are exhibited by the system in different regions of the…
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Taxonomy
TopicsNeural Networks Stability and Synchronization · Nonlinear Dynamics and Pattern Formation · stochastic dynamics and bifurcation
