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We show analytically that the apparent non-analyticity discovered recently in the inverse participation ratio (IPR) of the eigenstates in Anderson's model of localization is also present in a simple two-site model, along with a concurrent…

无序系统与神经网络 · 物理学 2015-06-05 S. Johri , R. N. Bhatt

We present a new large-deviation approach to investigate the critical properties of the Anderson model on the Bethe lattice close to the localization transition in the thermodynamic limit. Our method allows us to study accurately the…

无序系统与神经网络 · 物理学 2022-09-01 Giulio Biroli , Alexander K. Hartmann , Marco Tarzia

We study numerically Anderson localization on lattices that are tree-like except for the presence of one loop of varying length $L$. The resulting expressions allow us to compute corrections to the Bethe lattice solution on i)…

无序系统与神经网络 · 物理学 2023-10-17 Matilde Baroni , Giulia Garcia Lorenzana , Tommaso Rizzo , Marco Tarzia

We study the Anderson model on the Bethe lattice by working directly with propagators at real energies $E$. We introduce a novel criterion for the localization-delocalization transition based on the stability of the population of the…

无序系统与神经网络 · 物理学 2019-12-04 Giorgio Parisi , Saverio Pascazio , Francesca Pietracaprina , Valentina Ros , Antonello Scardicchio

Inspired by works on the Anderson model on sparse graphs, we devise a method to analyze the localization properties of sparse systems that may be solved using cavity theory. We apply this method to study the properties of the eigenvectors…

无序系统与神经网络 · 物理学 2022-05-05 Diego Tapias , Peter Sollich

We test the usefulness of a generalized inverse participation ratio (GIPR) as a measure of Anderson localization. The GIPR differs from the usual inverse participation ratio in that it depends on the local density of states rather than on…

无序系统与神经网络 · 物理学 2015-05-20 N. C. Murphy , R. Wortis , W. A. Atkinson

We develop a novel analytical approach to the problem of single particle localization in infinite dimensional spaces such as Bethe lattice and random regular graphs. The key ingredient of the approach is the notion of the inverted order…

无序系统与神经网络 · 物理学 2018-02-14 V. E. Kravtsov , B. L. Altshuler , L. B. Ioffe

We revisit the Anderson localization problem on Bethe lattices, putting in contact various aspects which have been previously only discussed separately. For the case of connectivity 3 we compute by the cavity method the density of states…

无序系统与神经网络 · 物理学 2015-05-18 Giulio Biroli , Guilhem Semerjian , Marco Tarzia

We present a thorough pedagogical analysis of the single particle localization phenomenon in a quasiperiodic lattice in one dimension. Description of disorder in the lattice is represented by the Aubry-Andr\'e model. Characterization of…

量子气体 · 物理学 2019-05-03 G. A. Domínguez-Castro , R. Paredes

Anderson localization on tree-like graphs such as the Bethe lattice, Cayley tree, or random regular graphs has attracted attention due to its apparent mathematical tractability, hypothesized connections to many-body localization, and the…

无序系统与神经网络 · 物理学 2019-09-25 Samuel Savitz , Changnan Peng , Gil Refael

In this paper we present a thorough study of transport, spectral and wave-function properties at the Anderson localization critical point in spatial dimensions $d = 3$, $4$, $5$, $6$. Our aim is to analyze the dimensional dependence and to…

无序系统与神经网络 · 物理学 2017-03-15 Elena Tarquini , Giulio Biroli , Marco Tarzia

We determine the phase diagram of the Anderson tight-binding model on random regular graphs with Gaussian disorder and sufficiently large degree. In particular, we prove that if the degree is fixed and the number of vertices goes to…

概率论 · 数学 2026-03-20 Suhan Liu , Patrick Lopatto

The Localization Landscape Theory (LLT) offers a classical analogy for understanding Anderson localization through an effective confining potential, whose percolation threshold has been proposed to mark the mobility edge. While this…

无序系统与神经网络 · 物理学 2026-05-29 Lorenzo Tonetti , Leticia F. Cugliandolo , Marco Tarzia

We investigate the Anderson localization in non-Hermitian Aubry-Andr\'e-Harper (AAH) models with imaginary potentials added to lattice sites to represent the physical gain and loss during the interacting processes between the system and…

无序系统与神经网络 · 物理学 2017-06-26 Qi-Bo Zeng , Shu Chen , Rong Lü

The Localization Landscape Theory (LLT) provides a classical picture of Anderson localization by introducing an effective confining potential whose percolation is proposed to coincide with the mobility edge. Although this proposal shows…

无序系统与神经网络 · 物理学 2025-12-04 Lorenzo Tonetti , Leticia F. Cugliandolo , Marco Tarzia

We study Anderson localization in disordered tight-binding models on hyperbolic lattices. Such lattices are geometries intermediate between ordinary two-dimensional crystalline lattices, which localize at infinitesimal disorder, and Bethe…

无序系统与神经网络 · 物理学 2024-08-20 Anffany Chen , Joseph Maciejko , Igor Boettcher

Analytical complexity of quantum wavefunction whose argument is extended into the complex plane provides an important information about the potentiality of manifesting complex quantum dynamics such as time-irreversibility, dissipation and…

统计力学 · 物理学 2015-06-17 Hiroaki S. Yamada , Kensuke S. Ikeda

We prove localization and probabilistic bounds on the minimum level spacing for the Anderson tight-binding model on the lattice in any dimension, with single-site potential having a discrete distribution taking N values, with N large.

数学物理 · 物理学 2021-05-25 John Z. Imbrie

We consider the multi-particle Anderson model on the lattice with infinite range but sub-exponentially decaying interaction and show the Anderson localization consisting of the spectral exponential and the strong dynamical localization. In…

数学物理 · 物理学 2017-06-28 Trésor Ekanga

The localization of one-electron states in the large (but finite) disorder limit is investigated. The inverse participation number shows a non--monotonic behavior as a function of energy owing to anomalous behavior of few-site localization.…

无序系统与神经网络 · 物理学 2012-10-02 L. Ujfalusi , I. Varga
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