Noncommutative functional analysis, operator algebras and operator spaces

非交换泛函分析、算子代数和算子空间

• 批准号: 0800674
• 负责人: David Blecher
• 金额: $ 7.97万
• 依托单位: University of Houston
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2008
• 资助国家: 美国
• 起止时间: 2008-06-01 至 2013-05-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0800674&HistoricalAwards=false
• 关键词: Noncommutative; functional; analysis; operator; algebras

This research project is directed on fundamental problems of the theory of random matrices and random polynomials and their applications, and on related problems in statistical physics. The cornerstone of the problems is different conjectures of universality, which state that as the size of a random matrix (or the degree of a random polynomial) approaches infinity, the correlations between properly scaled eigenvalues (or zeros) approach a universal limit. In the current project the PI continues his studies of the universality in random matrix models, random polynomials, and statistical physics. This includes: (i) The Riemann-Hilbert (RH) approach to double scaling limits in random matrix models. (ii) RH approach to random matrices with external source. (iii) Semiclassical asymptotics and RH approach to multi-matrix models. (iv) RH approach to the six-vertex model of statistical physics. (v) Scaling limits and universality in non-Gaussian ensembles of random polynomials and random algebraic varieties.The project has an interdisciplinary character and it lies on the frontier between physics and mathematics. The problems of scaling and universality are central in many areas of modern science: theory of critical phenomena and phase transitions, statistical physics and quantum field theory, theory of quantum chaos, nonlinear dynamics, etc. This project is directed on development of powerful mathematical methods to the problems of scaling and universality in the theory of random matrices, random polynomials, and related topics. It involves different areas of mathematics: analysis, theory of integrable systems, probability theory, semiclassical asymptotics for systems of differential equations, complex analysis, etc. The research project under consideration has direct applications to various physical problems: combinatorial asymptotics related to quantum gravity, exactly solvable models of statistical physics, spin systems on random surfaces, theory of critical phenomena and phase transitions, quantum chaos. Possible further applications include theory of knots and links and related problems in molecular biology, growth models, statistical data analysis, and others.

该研究项目的方向是随机矩阵和随机多项式理论及其应用的基本问题，以及统计物理学中的相关问题。这些问题的基础是不同的普适性假设，即当随机矩阵的大小（或随机多项式的次数）接近无穷大时，适当缩放的特征值（或零）之间的相关性接近普适极限。 在目前的项目中，PI继续研究随机矩阵模型，随机多项式和统计物理的普遍性。这包括：（一）黎曼-希尔伯特（RH）方法在随机矩阵模型的双标度限制。(ii)具有外部源的随机矩阵的RH方法。 (iii)多矩阵模型的半经典渐近性和RH方法。(iv)统计物理六顶点模型的RH方法。(v)随机多项式和随机代数簇的非高斯系综中的标度极限和普适性。该项目具有跨学科性质，位于物理学和数学之间的前沿。标度和普遍性的问题是现代科学的许多领域的中心：临界现象和相变理论，统计物理学和量子场论，量子混沌理论，非线性动力学等。它涉及数学的不同领域：分析、可积系统理论、概率论、微分方程系统的半经典渐近性、复分析等。正在考虑的研究项目直接应用于各种物理问题：与量子引力相关的组合渐近，统计物理学的精确可解模型，随机表面上的自旋系统，临界现象和相变理论，量子混沌。可能的进一步应用包括结和链接理论以及分子生物学，生长模型，统计数据分析等相关问题。