Describing the critical behavior of the Anderson transition in infinite dimension by random-matrix ensembles: logarithmic multifractality and critical localization
Weitao Chen, Olivier Giraud, Jiangbin Gong, Gabriel Lemari\'e

TL;DR
This paper investigates the critical behavior of the Anderson transition in infinite-dimensional systems using random matrix ensembles, revealing novel logarithmic multifractality and critical localization phenomena through analytical and numerical methods.
Contribution
It introduces two random matrix models capturing infinite-dimensional Anderson transition criticality, demonstrating logarithmic multifractality and localization, and explores their dynamic and spatial scaling behaviors.
Findings
Logarithmic multifractality characterized by eigenstate moments scaling with log system size
Critical localization with eigenstate moments converging for q>1/2
Emergence of new scaling behaviors in time dynamics and spatial correlations
Abstract
Due to their analytical tractability, random matrix ensembles serve as robust platforms for exploring exotic phenomena in systems that are computationally demanding. Building on a companion letter [arXiv:2312.17481], this paper investigates two random matrix ensembles tailored to capture the critical behavior of the Anderson transition in infinite dimension, employing both analytical techniques and extensive numerical simulations. Our study unveils two types of critical behaviors: logarithmic multifractality and critical localization. In contrast to conventional multifractality, the novel logarithmic multifractality features eigenstate moments scaling algebraically with the logarithm of the system size. Critical localization, characterized by eigenstate moments of order converging to a finite value indicating localization, exhibits characteristic logarithmic finite-size or time…
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