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