Gaussian disorder and its applications in one-dimensional chain and sys-env environment models

Dongyan Guo, Taotao Hu, Jiameng Hong

Published 2024-10-10Version 1

This paper introduces Gaussian disorder, characterized by two parameters:the expected value and the standard deviation.Studying this type of disorder enhances our understanding of how many-body localization (MBL) transition is influenced by the central value and breadth of disorder.We apply Gaussian disorder to a one-dimensional spin-1/2 chain to reveal its features.Our findings indicate that the crucial parameter driving localization transitions is the standard deviation; as it increases, the system transitions from the ergodic phase to the localized phase, while the expected value has no effect,so the critical factor influencing MBL transition is the breadth of disorder rather than its central value.We then explore Gaussian disorder in two system-environment models (ladder and staggered configurations),analyzing the mutual influence when they are coupled.We extensively explore the impacts brought about by system disorder,environment disorder,initial state,and the strength of the sys-env interaction.Finally,for theses two different models,we consider the system and environment as a whole,studying how the localization properties of the entire system are influenced by the disorder strength of each chain and the interaction strength between the two chains.In the ladder configuration, we observe a strong dependence on the initial state,which can lead to either the loss or retention of information,whereas no such dependence on the initial state is found in the staggered configuration.We emphasize that when using dynamic indicators to analyze system characteristics, it is essential to consider the influence of different initial states,as this may lead to significant differences under certain structural conditions,and not all initial states can accurately reflect the localization properties of the many-body system.