Patterns in Eigenvalues

Professor Persi Diaconis

Professor of Statistics and Mathematics
Stanford University


Date: 9 June 2017 (Friday)
Time: 11:00am - 12:00noon (Preceded by Reception at 10:30am)

LT2, C S Tse Lecture Theatre,
Cha Chi-ming Science Tower, Ho Sin Hang Campus,
Hong Kong Baptist University



Typical large matrices show remarkable patterns in their eigenvalue distribution. These same distributions appear in a variety of other real world problems: in the distance between parked cars, the shape of a burning piece of paper, in neutron scattering experiments and the zeros of Riemann's zeta function. I will explain the patterns and tell some of their stories in a talk aimed at a general mathematical and statistical audience.



All are welcome