English

Volcano transition in populations of phase oscillators with random nonreciprocal interactions

Adaptation and Self-Organizing Systems 2023-07-07 v2 Disordered Systems and Neural Networks

Abstract

Populations of heterogeneous phase oscillators with frustrated random interactions exhibit a quasi-glassy state in which the distribution of local fields is volcano-shaped. In a recent work [Phys. Rev. Lett. 120, 264102 (2018)] the volcano transition was replicated in a solvable model using a low-rank, random coupling matrix M\mathbf M. We extend here that model including tunable nonreciprocal interactions, i.e. MTM{\mathbf M}^T\ne \mathbf M. More specifically, we formulate two different solvable models. In both of them the volcano transition persists if matrix elements MjkM_{jk} and MkjM_{kj} are enough correlated. Our numerical simulations fully confirm the analytical results. To put our work in a wider context, we also investigate numerically the volcano transition in the analogous model with a full-rank random coupling matrix.

Keywords

Cite

@article{arxiv.2306.07609,
  title  = {Volcano transition in populations of phase oscillators with random nonreciprocal interactions},
  author = {Diego Pazó and Rafael Gallego},
  journal= {arXiv preprint arXiv:2306.07609},
  year   = {2023}
}