Riemann-Hilbert Problems, Integrable Systems and Random Matrix Theory

黎曼-希尔伯特问题、可积系统和随机矩阵理论

• 批准号: 0500923
• 负责人: Percy Deift
• 金额: $ 33万
• 依托单位: New York University
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 2005
• 资助国家: 美国
• 起止时间: 2005-07-01 至 2011-06-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0500923&HistoricalAwards=false
• 关键词: Riemann; Hilbert; Problems; Integrable; Systems

AbstractDeiftThe PI will continue his work on the analysis of various asymptoticproblems in mathematics and mathematical physics. The steepest-descent method for Riemann-Hilbert problems will continue to play a key role.In particular, the PI will consider** the perturbation theory of specific infinite-dimensional integrable systems which support soliton solutions** universality problems in random matrix theory** asymptotics for multiple orthogonal polynomials, with a view to provingthe irrationality of certain distinguished constants** the asymptotic evaluation of Toeplitz and Hankel determinants, of the kind that arise in the analysis of Bose-Einstein condensation** statistical experiments which demonstrate the prevalence of random matrix theory in mathematics, physics and also in the "real world".One of the most fascinating scientific developments over the last fifty years has been the discovery that an extraordinarily wide variety of mathematical and physical phenomena are modelled by the eigenvalues of a random matrix. In particular, random matrix theory describes the scattering of neutrons off large nuclei, as well as the statistics of the zeros of the Riemann zeta function on the critical line in the complex plane. More recently, it has been discovered that random matrix theory also describes problems in the "real world", such as the bus scheduling problem in the city of Cuernevaca in Mexico, the distribution of telephone numbers in the Manhattan telephone directory, as well as the statistics of a form of solitaire called patience sorting. A central focus of the PI's work will involve the analysis of random matrix theory per se, as well as the application of random matrix theory to new problems in mathematics, physics and the "real world".

PI将继续他在数学和数学物理中的各种渐近问题的分析工作。Riemann-Hilbert问题的最速下降法将继续发挥关键作用。特别是，PI将考虑 ** 支持孤子解的特定无限维可积系统的扰动理论 ** 随机矩阵理论中的普遍性问题 ** 多个正交多项式的渐近性，为了证明某些特殊常数的不合理性，** Toeplitz和Hankel行列式的渐近估计，在分析玻色-爱因斯坦凝聚 ** 统计实验中出现的那种，这些实验证明了随机矩阵理论在数学中的流行，物理学和“真实的世界”在过去的五十年里，最令人着迷的科学发展之一就是发现了一种非常广泛的数学和物理现象。物理现象由随机矩阵的特征值来模拟。特别是，随机矩阵理论描述了中子从大原子核的散射，以及复平面中临界线上黎曼zeta函数零点的统计。最近，人们发现随机矩阵理论也描述了“真实的世界”中的问题，例如墨西哥Cuernevaca市的公共汽车调度问题，曼哈顿电话簿中电话号码的分布，以及称为耐心排序的纸牌形式的统计。PI的工作重点将涉及随机矩阵理论本身的分析，以及随机矩阵理论在数学，物理和“真实的世界”中的新问题的应用。