Enhancing cluster synchronization in phase-lagged multilayer networks

TL;DR

This paper investigates how degree-matched frequency distributions in multilayer phase oscillator networks improve cluster synchronization stability under high phase-lag conditions, combining analytical and numerical methods.

Contribution

It introduces the deg-deg frequency distribution as a novel configuration that enhances synchronization robustness in multilayer networks with phase-lag.

Findings

Deg-deg distribution significantly broadens synchronization regimes.

Structural heterogeneity counteracts phase-lag-induced desynchronization.

Transverse Lyapunov exponents confirm increased stability in deg-deg networks.

Abstract

Cluster synchronization in multilayer networks of phase oscillators with phase-lag poses significant challenges due to the destabilizing effects of delayed interactions. Leveraging the Sakaguchi-Kuramoto model, this study addresses these challenges by systematically exploring the role of natural frequency distributions in sustaining cluster synchronization under high phase-lag conditions. We focus on four distributions: uniform (uni-uni), partially degree-correlated (deg-uni, uni-deg), and fully degree-correlated (deg-deg), where oscillators' intrinsic frequencies align with their network connectivity. Through numerical and analytical investigations, we demonstrate that the deg-deg distribution, where both layers employ degree-matched frequencies, remarkably enhances synchronization stability, outperforming other configurations. We analyze two distinct network architectures: one composed entirely of nontrivial clusters and another combining trivial and nontrivial clusters. Results reveal that structural heterogeneity encoded in the deg-deg coupling counteracts phase-lag-induced desynchronization, enabling robust cluster synchronization even at large phase-lag values. Stability is rigorously validated via transverse Lyapunov exponents (TLEs), which confirm that deg-deg networks exhibit broader synchronization regimes compared to uniform or partially correlated systems. These findings provide critical insights into the interplay between topological heterogeneity and dynamical resilience, offering a framework for designing robust multilayer systems from delay-tolerant power grids to adaptive biological networks, where synchronization under phase-lag is paramount.