English

Discrete Scale Invariance in Supercritical Percolation

Disordered Systems and Neural Networks 2016-01-25 v1

Abstract

Recently it has been demonstrated that the connectivity transition from microscopic connectivity to macroscopic connectedness, known as percolation, is generically announced by a cascade of microtransitions of the percolation order parameter [Chen et al., Phys. Rev. Lett. 112, 155701 (2014)]. Here we report the discovery of macrotransition cascades which follow percolation. The order parameter grows in discrete macroscopic steps with positions that can be randomly distributed even in the thermodynamic limit. These transition positions are, however, correlated and follow scaling laws which arise from discrete scale invariance and non self-averaging, both traditionally unrelated to percolation. We reveal the discrete scale invariance in ensemble measurements of these non self-averaging systems by rescaling of the individual realizations before averaging.

Keywords

Cite

@article{arxiv.1601.05996,
  title  = {Discrete Scale Invariance in Supercritical Percolation},
  author = {Malte Schröder and Wei Chen and Jan Nagler},
  journal= {arXiv preprint arXiv:1601.05996},
  year   = {2016}
}

Comments

8 pages, 8 figures

R2 v1 2026-06-22T12:34:52.231Z