Disorder averaging in random lattice models with periodic boundary conditions: Application to models with uncorrelated and correlated disorder
Bal\'azs Het\'enyi, Lu\'is Miguel Martelo, and Andr\'as L\'aszl\'offy

TL;DR
This paper develops disorder averaging techniques within the modern theory of polarization for disordered lattice models with periodic boundary conditions, enabling analysis of localization and delocalization phenomena.
Contribution
It introduces new methods to compute polarization cumulants and an indicator of delocalization, validated on models with uncorrelated and correlated disorder.
Findings
Verifies Anderson localization in a disordered 1D model.
Validates techniques on the de Moura-Lyra model with power-law correlated disorder.
Identifies degeneracy patterns related to mobility edges.
Abstract
Periodic boundary conditions are not always used in the study of disordered systems, but it can be advantageous to apply them to mimick thermodynamically large systems. In this case, polarization and its cumulants can not be obtained directly, but through the tools of the modern theory of polarization. This theory casts the polarization in crystalline systems as a geometric phase, rather than an operator expectation value. We develop disorder averaging techniques within the context of this theory which can calculate the variance of the polarization, its higher order moments, and the excess kurtosis (or Binder cumulant). We also derive an indicator of delocalization based on the degeneracy as a function of boundary conditions. We apply the computational techniques to two model systems. To test localization, we use a one-dimensional disordered model which is fully Anderson localized. Our…
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