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Localization Transitions in Effective Random Matrix Models

Localization Transitions in Effective Random Matrix Models
有效随机矩阵模型中的定位转变
批准号:
407999979
负责人:
Dr. Per von Soosten
金额:
$0.0万
依托单位:
依托单位国家:
德国
项目类别:
Research Fellowships
财政年份:
2018
资助国家:
德国
项目状态:
已结题
起止时间:
2017-12-31 至 2020-12-31

项目摘要

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中文摘要
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英文摘要
This project aims to study the mathematics of quantum particles (such as electrons) in disordered media (such as doped semiconductors). The main point of focus is understanding how features like the geometry of the medium, the energy, and the strength of the disorder determine whether the material is conducting or not. For realistic models, these questions are far beyond the present mathematical state of the art so current research focuses on answering them for effective toy models.One important class of such toy models consists of matrices with random entries, whose variances decay away from the diagonal of the matrix. In this setting, the question reduces to studying the qualitative features of the eigenvectors of these random matrices. However, even for such simplified models, the current understanding is very far from complete. This project will study a subclass of these models with an imposed hierarchical structure that makes the analysis of conductance mathematically feasible. In particular, our recent works have shown that the localized (non-conducting) regime of the model can be completely understood using ideas from stochastic analysis. The principal goal of this project is to extend this work to the delocalized (conducting) regime and possibly even to more general models. Accomplishing this goal would yield a new addition to the extremely short list of toy models for which the localization transition can be proved rigorously.
期刊论文(2)
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科研奖励(0)
会议论文
Random characteristics for Wigner matrices
维格纳矩阵的随机特征
DOI: 10.1214/19-ecp278
发表时间: 2019
期刊: Electronic Communications in Probability
影响因子: 0.5
作者: [P. von Soosten, S. Warzel]
通讯作者: S. Warzel
Dynamical Approach to the TAP Equations for the Sherrington–Kirkpatrick Model
SherringtonâKirkpatrick 模型 TAP 方程的动态方法
DOI: 10.1007/s10955-021-02773-7
发表时间: 2021
期刊: Journal of Statistical Physics
影响因子: 1.6
作者: [A. Adhikari, C. Brennecke, P. von Soosten, H.-T. Yau]
通讯作者: H.-T. Yau
海外基金