The Interplay between Number Theory and Random Matrix Theory

Người báo cáo: Prof. Michael Rubinstein (University of Waterloo)

Thời gian: Bắt đầu từ 9h30, thứ Sáu, ngày 8 tháng 5 năm 2026

Địa điểm: Hội trường 301, Nhà A5, Viện Toán học

Tóm tắt báo cáo: This talk explores the remarkable parallels between the distribution of zeros and values of L-functions and of the characteristic polynomials of random matrices from the classical compact groups.

We begin by examining the Riemann zeta function, reviewing how its zeros dictate the  distribution of prime numbers and how its value distribution, specifically its moments, has remained a central challenge in analytic number theory for over a century.

We will discuss the Katz-Sarnak philosophy, which predicts that certain statistics of various families of L-functions align with the corresponding statistics for the classical compact groups.

We examine how the moments of characteristic polynomials in these matrix groups provide precise conjectures and predictions for L-functions, and how problems in number theory have helped drive the development of random matrix theory and vice versa.

  Hoạt động tuần
Xuất bản mới
Đinh Nho Hào, Maxim Shishlenin, Van Ba Cong, Stable Numerical Solution to Multi-dimensional Nonlinear Inverse Heat Conduction Problems via Artificial Neural Networks, Lobachevskii Journal of Mathematics, Volume 47, pages 1213–1232 (2026)
Nguyễn Trung Thành, Gianluca Barone, Dat Tran, Đinh Nho Hào, All-at-once proximal alternating minimization method for an inverse medium scattering problem, Journal of Computational Physics, Article: 115187 Volume: Volume 565 (2026)
Yongdo Lim, Hoàng Ngọc Tuấn, Nguyễn Đông Yên, DC algorithms in Hilbert spaces and the solution of indefinite infinite-dimensional quadratic programs, Journal of Global Optimization, Volume 95, pages 193–209 (2026)