English

Localization--non-ergodic transition in controllable-dimension fractal networks from diffusion-limited aggregation

Disordered Systems and Neural Networks 2026-04-10 v1 Mesoscale and Nanoscale Physics

Abstract

Our study connects the physics of disordered integer-dimensional systems and regular self-similar objects by studying spectral properties of fractal agglomerates with tunable dimension. The latter is controlled by parameter α\alpha of the algorithm that generates the agglomerates. We consider the nearest-neighbor tight-binding model on the agglomerates embedded in 2D and 3D, and observe that all eigenstates are localized in the 2D case, whereas in the 3D case, there is a localization--non-ergodic transition upon increasing α\alpha,i.e., going from sparse to dense fractals: a sub-extensive number of critical states emerge in the spectrum at a certain critical value of α\alpha. The complex geometry of the agglomerates is also responsible for a peculiar hierarchy of compact localized states and singularities in the density of states, which are typical for ordered fractals.

Keywords

Cite

@article{arxiv.2604.07700,
  title  = {Localization--non-ergodic transition in controllable-dimension fractal networks from diffusion-limited aggregation},
  author = {Oleg I. Utesov and Alexei Andreanov and Tomasz Bednarek and Alexandra Siklitskaya and Sergei V. Koniakhin},
  journal= {arXiv preprint arXiv:2604.07700},
  year   = {2026}
}

Comments

12 pages, 13 figures

R2 v1 2026-07-01T12:00:21.591Z