BEGIN:VCALENDAR
VERSION:2.0
PRODID:researchseminars.org
CALSCALE:GREGORIAN
X-WR-CALNAME:researchseminars.org
BEGIN:VEVENT
SUMMARY:Simona Diaconu (Stanford University)
DTSTART:20221102T140000Z
DTEND:20221102T150000Z
DTSTAMP:20260423T021043Z
UID:ADPS/4
DESCRIPTION:Title: <a href="https://researchseminars.org/talk/ADPS/4/">Met
 hod of Moments and Edge Eigenvalues</a>\nby Simona Diaconu (Stanford Unive
 rsity) as part of Abu Dhabi Stochastics Seminar\n\n\nAbstract\nThe method 
 of moments is a classical technique for showing weak convergence and follo
 ws a simple recipe: for any natural number m\; compute the mth moments of 
 the random variables of interest\, and prove they tend to the mth moment o
 f the claimed limit (this works for some limiting laws\, including Gaussia
 n). This approach has been prolific for universality results: for the larg
 est eigenvalues of random matrices\, justify their asymptotic behavior dep
 ends solely on a random variable\, show the moments of the latter depend (
 asymptotically) on few moments of the former\, and use the Gaussian case t
 o deduce the limiting behavior. Although Gaussianity can be relaxed consid
 erably\, some constraints are indispensable: consider a real-valued Wigner
  matrix with i.i.d. entries. When the fourth moment of the entry distribut
 ions is infinite (heavy-tailed)\, the largest eigenvalues are known to con
 verge to Poisson point processes\, whereas when it is finite (light-tailed
 )\, the limits are the same as for Gaussian orthogonal ensembles. This tal
 k focuses on a subfamily of edge cases\, distributions at the boundary bet
 ween heavy- and lighttailed regimes\, and presents a new application of th
 e method of moments\, one that allows to obtain the asymptotics of the lar
 gest eigenvalues directly\, without any comparison to the Gaussian case. A
  byproduct of this result is a connection between the aforementioned subfa
 mily and two other families\, finite-rank perturbations of Wigner matrices
  and sparse random matrices.\nThis presentation is based on https://arxiv.
 org/pdf/2203.08712.pdf.\n
LOCATION:https://researchseminars.org/talk/ADPS/4/
END:VEVENT
END:VCALENDAR
