English

Global Topological Dirac Synchronization

Statistical Mechanics 2025-10-22 v2 Disordered Systems and Neural Networks Mathematical Physics Dynamical Systems math.MP Adaptation and Self-Organizing Systems

Abstract

Synchronization is a fundamental dynamical state of interacting oscillators, observed in natural biological rhythms and in the brain. Global synchronization which occurs when non-linear or chaotic oscillators placed on the nodes of a network display the same dynamics as received great attention in network theory. Here we propose and investigate Global Topological Dirac Synchronization on higher-order networks such as cell and simplicial complexes. This is a state where oscillators associated to simplices and cells of arbitrary dimension, coupled by the Topological Dirac operator, operate at unison. By combining algebraic topology with non-linear dynamics and machine learning, we derive the topological conditions under which this state exists and the dynamical conditions under which it is stable. We provide evidence of 1-dimensional simplicial complexes (networks) and 2-dimensional simplicial and cell complexes where Global Topological Dirac Synchronization can be observed. Our results point out that Global Topological Dirac Synchronization is a possible dynamical state of simplicial and cell complexes that occur only in some specific network topologies and geometries, the latter ones being determined by the weights of the higher-order networks

Keywords

Cite

@article{arxiv.2410.15338,
  title  = {Global Topological Dirac Synchronization},
  author = {Timoteo Carletti and Lorenzo Giambagli and Riccardo Muolo and Ginestra Bianconi},
  journal= {arXiv preprint arXiv:2410.15338},
  year   = {2025}
}
R2 v1 2026-06-28T19:28:38.309Z