English

Geometric Criticality in Scale-Invariant Networks

Statistical Mechanics 2026-03-27 v2 Disordered Systems and Neural Networks Adaptation and Self-Organizing Systems Physics and Society

Abstract

Dimension in physical systems determines universal properties at criticality. Yet, the impact of structural perturbations on dimensionality remains largely unexplored. Here, we characterize the attraction basins of structural fixed points in scale-invariant networks from a renormalization group perspective, demonstrating that basin stability connects to a structural phase transition. This topology-dependent effect, which we term geometric criticality, triggers a geometric breakdown hitherto unknown, which induces non-trivial fractal dimensions and unveils hidden LRG flows toward unstable structural fixed points. Our systematic study of how networks and lattices respond to disorder paves the way for future analysis of non-ergodic behavior induced by quenched disorder.

Keywords

Cite

@article{arxiv.2507.11348,
  title  = {Geometric Criticality in Scale-Invariant Networks},
  author = {Lorenzo Lucarini and Giulio Cimini and Pablo Villegas},
  journal= {arXiv preprint arXiv:2507.11348},
  year   = {2026}
}

Comments

9 pages, 14 figures, including Appendices with additional details

R2 v1 2026-07-01T04:02:25.577Z