Disorder averaging in random lattice models with periodic boundary conditions: Application to models with uncorrelated and correlated disorder

Hetényi Balázs; Martelo Luis Miguel; Lászlóffy András: Disorder averaging in random lattice models with periodic boundary conditions: Application to models with uncorrelated and correlated disorder.
PHYSICAL REVIEW B, 113 (14). ISSN 2469-9950 (2026)

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Szerző azonosítók:
NévORCIDMTMT szerző azonosító
Hetényi Balázs0000-0002-3680-114710065321
Martelo Luis Miguel0000-0001-8065-5979
Lászlóffy András10051903
Absztrakt (kivonat): 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 cannot 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 calculations verify this. We also apply our techniques to the one-dimensional de Moura-Lyra model, developed to study power-law correlated (controlled by a parameter, alpha) disorder. While this model is a pathological one, our method is validated. We also point out the significance of pairwise degeneracies found in the parameter range, alpha > 2, and near the band center (or near half filling), where the model was conjectured to exhibit a mobility edge.
Folyóirat címe: PHYSICAL REVIEW B
Megjelenés éve: 2026. Április 04.
Kötet: 113
Szám: 14
ISSN: 2469-9950
Intézmény: Pázmány Péter Katolikus Egyetem
Kar: Információs Technológiai és Bionikai Kar (2013.07.-)
Nyelv: angol
MTMT rekordazonosító: 37095825
DOI azonosító: 10.1103/cjqf-761y
Scopus azonosító: 105052472664
WoS azonosító: 001760805100001
Dátum: 2026. Okt. 20. 11:47
Utolsó módosítás: 2026. Okt. 20. 12:26
URI: https://publikacio.ppke.hu/id/eprint/3864

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