English

Optimisation of multifractal analysis using box-size scaling

Disordered Systems and Neural Networks 2009-03-03 v1

Abstract

We study various box-size scaling techniques to obtain the multifractal properties, in terms of the singularity spectrum f(alpha), of the critical eigenstates at the metal-insulator transition within the 3-D Anderson model of localisation. The typical and ensemble averaged scaling laws of the generalised inverse participation ratios are considered. In pursuit of a numerical optimisation of the box-scaling technique we discuss different box-partitioning schemes including cubic and non-cubic boxes, use of periodic boundary conditions to enlarge the system and single and multiple origins for the partitioning grid are also implemented. We show that the numerically most reliable method is to divide a system of linear size L equally into cubic boxes of size l for which L/l is an integer. This method is the least numerically expensive while having a good reliability.

Keywords

Cite

@article{arxiv.0807.4854,
  title  = {Optimisation of multifractal analysis using box-size scaling},
  author = {Alberto Rodriguez and Louella J. Vasquez and Rudolf A. Roemer},
  journal= {arXiv preprint arXiv:0807.4854},
  year   = {2009}
}

Comments

6 pages, 4 figures

R2 v1 2026-06-21T11:05:55.635Z