Videolibrary
RUS  ENG    JOURNALS   PEOPLE   ORGANISATIONS   CONFERENCES   SEMINARS   VIDEO LIBRARY   PACKAGE AMSBIB  
Video Library
Archive
Most viewed videos

Search
RSS
New in collection






International Conference on Complex Analysis Dedicated to the Memory of Andrei Gonchar and Anatoliy Vitushkin
October 29, 2024 11:30–12:20, Moscow, Steklov Institute, conference hall, 9th floor
 


Stochastic Kähler geometry and random holomorphic sections

T. Bayraktar

Sabanci University
Video records:
MP4 689.7 Mb

Number of views:
This page:108
Video files:35
Youtube Live:

T. Bayraktar
Photo Gallery



Abstract: Zero distribution of polynomials of high degree with random coefficients naturally appear in the context of “quantum chaotic dynamics”. A classical result due to M. Kac and J. Hammersley asserts that if the coefficients are independent Gaussian random variables then zeros of random polynomials tend to accumulate near the unit circle in the complex plane. On the other hand, zeros of $\mathrm{SU}(2)$ polynomials are uniformly distributed on the Riemann sphere. While these results are consistent with Random Matrix Theory predictions they provide a new inside for the problem of quantum ergodicity. There are also higher dimensional generalizations of these results which form a relatively new field called “Stochastic Kähler Geometry”.
In this talk, I will present several universality principles concerned with zero distribution of random polynomials or more generally random holomorphic sections of high tensor powers $L^{\otimes n}$ of positive line bundle $L\to X$ defined over a projective manifold endowed with a singular Hermitian metric. In one direction, universality phenomenon indicates that under natural assumptions, asymptotic distribution of (appropriately normalized) zeros of random polynomials is independent of the choice of probability law defined on random polynomials. Another form of universality is asymptotic normality of smooth linear statistics of zero currents.

Website: https://zoom.us/j/97783228709?pwd=cDOY9kLNgr172YW8B8xQyHc76w8IW8.1

* ID: 977 8322 8709 Password: 525842
 
  Contact us:
 Terms of Use  Registration to the website  Logotypes © Steklov Mathematical Institute RAS, 2024