Stability of Phase-Locked States in Signed Kuramoto Networks: Structure versus Adaptation

TL;DR

This paper investigates whether the stability of phase-locked states in signed Kuramoto networks is primarily due to network structure or adaptive coupling, revealing that structure constrains stability while adaptation influences robustness.

Contribution

The study distinguishes the roles of static network structure and adaptive coupling in the stability of phase-locked states in signed Kuramoto networks.

Findings

Static signed networks impose severe constraints on stability.

Adaptive coupling influences the robustness and basins of attraction.

Unstable modes persist under parameter variations in static networks.

Abstract

Adaptive Kuramoto models admit a variety of nontrivial phase-locked configurations, including antipodal and rotating-wave states. A central open question is whether the observed persistence of such configurations can be attributed to intrinsic properties of the associated signed interaction networks, or whether it relies essentially on adaptive coupling dynamics. To address this question, we study the stability of antipodal and rotating-wave phase configurations on fixed signed networks that preserve the same phase symmetries but are not generated by adaptive dynamics. We show that for two canonical classes of static signed networks, stability is highly constrained, with unstable modes persisting under parameter variations generically, and we characterize how adaptive coupling influences invariant sets and basins of attraction for the configurations where stability is permitted. Taken together, these results show that while static network structure imposes severe constraints on the stability of phase-locked configurations, adaptive coupling dynamics organize and delineate their robustness when stability is permitted.