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PRODID:-//Discrete Mathematics Group - ECPv5.4.0//NONSGML v1.0//EN
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METHOD:PUBLISH
X-WR-CALNAME:Discrete Mathematics Group
X-ORIGINAL-URL:https://dimag.ibs.re.kr
X-WR-CALDESC:Events for Discrete Mathematics Group
BEGIN:VTIMEZONE
TZID:Asia/Seoul
BEGIN:STANDARD
TZOFFSETFROM:+0900
TZOFFSETTO:+0900
TZNAME:KST
DTSTART:20200101T000000
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BEGIN:VEVENT
DTSTART;TZID=Asia/Seoul:20200818T163000
DTEND;TZID=Asia/Seoul:20200818T173000
DTSTAMP:20210301T225753
CREATED:20200804T124550Z
LAST-MODIFIED:20200804T124550Z
UID:2750-1597768200-1597771800@dimag.ibs.re.kr
SUMMARY:Tuan Tran\, Anti-concentration phenomena
DESCRIPTION:Let $X$ be a real random variable; a typical anti-concentration inequality asserts that (under certain assumptions) if an interval $I$ has small length\, then $\mathbb{P}(X\in I)$ is small\, regardless the location of $I$. Inequalities of this type have found powerful applications in many branches of mathematics. In this talk we will discuss several recent applications of anti-concentration inequalities in extremal combinatorics\, as well as random matrix theory. The talk is partially based on joint work with Matthew Kwan and Benny Sudakov.
URL:https://dimag.ibs.re.kr/event/2020-08-18/
LOCATION:Room B232\, IBS (기초과학연구원)
CATEGORIES:Discrete Math Seminar
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