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SUMMARY:Wojciech Samotij (Tel Aviv University)
DTSTART:20200618T070000Z
DTEND:20200618T080000Z
DTSTAMP:20260423T035024Z
UID:SCMSComb/3
DESCRIPTION:Title: <a href="https://researchseminars.org/talk/SCMSComb/3/"
 >Large deviations of triangle counts in the binomial random graph II</a>\n
 by Wojciech Samotij (Tel Aviv University) as part of SCMS Combinatorics Se
 minar\n\n\nAbstract\nSuppose that $Y_1\, \\ldots \, Y_N$ are i.i.d. (indep
 endent identically distributed) random variables and let $X = Y_1 + … + 
 Y_N$. The classical theory of large deviations allows one to accurately es
 timate the probability of the tail events $X < (1-c)E[X]$ and $X > (1+c)E[
 X]$ for any positive $c$. However\, the methods involved strongly rely on 
 the fact that X is a linear function of the independent variables $Y_1\, 
 …\, Y_N.$ There has been considerable interest—both theoretical and pr
 actical—in developing tools for estimating such tail probabilities also 
 when $X$ is a nonlinear function of the $Y_i$. One archetypal example stud
 ied by both the combinatorics and the probability communities is when $X$ 
 is the number of triangles in the binomial random graph $G(n\,p)$.\n\nTalk
  II: We will present a complete solution to the upper tail problem for tri
 angle counts in $G(n\,p)$ that was obtained recently in a joint work with 
 Matan Harel and Frank Mousset.\n\nPassword 061801\n
LOCATION:https://researchseminars.org/talk/SCMSComb/3/
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