Reentrant localization in a quasiperiodic chain with correlated hopping sequences

Fuente: arXiv
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Autores principales: Karmakar, Sourav, Ganguly, Sudin, Maiti, Santanu K.
Formato: Preprint
Publicado: 2025
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author Karmakar, Sourav
Ganguly, Sudin
Maiti, Santanu K.
author_facet Karmakar, Sourav
Ganguly, Sudin
Maiti, Santanu K.
contents Quasiperiodic systems are known to exhibit localization transitions in low dimensions, wherein all electronic states become localized beyond a critical disorder strength. Interestingly, recent studies have uncovered a reentrant localization (RL) phenomenon: upon further increasing the quasiperiodic modulation strength beyond the localization threshold, a subset of previously localized states can become delocalized again within a specific parameter window. While RL transitions have been primarily explored in systems with simple periodic modulations, such as dimerized or long-range hopping integrals, the impact of more intricate or correlated hopping structures on RL behavior remains largely elusive. In this work, we investigate the localization behavior in a one-dimensional lattice featuring staggered, correlated on-site potentials following the Aubry-André-Harper model, along with off-diagonal hopping modulations structured according to quasiperiodic Fibonacci and Bronze Mean sequences. By systematically analyzing the fractal dimension, inverse participation ratio, and normalized participation ratio, we demonstrate the occurrence of RL transitions induced purely by the interplay between quasiperiodic on-site disorder and correlated hopping. We further examine the parameter space to determine the specific regimes that give rise to RL. Our findings highlight the crucial role of underlying structural correlations in governing localization-delocalization transitions in low-dimensional quasiperiodic systems, where the correlated disorder manifests in both diagonal and off-diagonal terms.
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publishDate 2025
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spellingShingle Reentrant localization in a quasiperiodic chain with correlated hopping sequences
Karmakar, Sourav
Ganguly, Sudin
Maiti, Santanu K.
Disordered Systems and Neural Networks
Mesoscale and Nanoscale Physics
Strongly Correlated Electrons
Computational Physics
Data Analysis, Statistics and Probability
Quasiperiodic systems are known to exhibit localization transitions in low dimensions, wherein all electronic states become localized beyond a critical disorder strength. Interestingly, recent studies have uncovered a reentrant localization (RL) phenomenon: upon further increasing the quasiperiodic modulation strength beyond the localization threshold, a subset of previously localized states can become delocalized again within a specific parameter window. While RL transitions have been primarily explored in systems with simple periodic modulations, such as dimerized or long-range hopping integrals, the impact of more intricate or correlated hopping structures on RL behavior remains largely elusive. In this work, we investigate the localization behavior in a one-dimensional lattice featuring staggered, correlated on-site potentials following the Aubry-André-Harper model, along with off-diagonal hopping modulations structured according to quasiperiodic Fibonacci and Bronze Mean sequences. By systematically analyzing the fractal dimension, inverse participation ratio, and normalized participation ratio, we demonstrate the occurrence of RL transitions induced purely by the interplay between quasiperiodic on-site disorder and correlated hopping. We further examine the parameter space to determine the specific regimes that give rise to RL. Our findings highlight the crucial role of underlying structural correlations in governing localization-delocalization transitions in low-dimensional quasiperiodic systems, where the correlated disorder manifests in both diagonal and off-diagonal terms.
title Reentrant localization in a quasiperiodic chain with correlated hopping sequences
topic Disordered Systems and Neural Networks
Mesoscale and Nanoscale Physics
Strongly Correlated Electrons
Computational Physics
Data Analysis, Statistics and Probability
url https://arxiv.org/abs/2506.02716