Title	Localization technique for discrete log-concave random variables
Creator	Marsiglietti, Arnaud
Publisher	Banff International Research Station for Mathematical Innovation and Discovery
Date Issued	2020-02-11T14:04
Description	We extend the localization technique of Lovasz and Simonovits (1993) in the geometric form of Fradelizi and Guedon (2004) to the discrete setting. In particular, we show that the extreme points of the set of discrete log-concave random variables satisfying a linear constraint are log-affines with respect to a reference measure. Several applications are discussed akin to the continuous setting. This is joint with James Melbourne.
Extent	31.0 minutes
Subject	Mathematics; Convex and discrete geometry; Functional analysis
Type	Moving Image
File Format	video/mp4
Language	eng
Notes	Author affiliation: University of Florida
Series	BIRS Workshop Lecture Videos (Banff, Alta)
Date Available	2020-08-10
Provider	Vancouver : University of British Columbia Library
Rights	Attribution-NonCommercial-NoDerivatives 4.0 International
DOI	10.14288/1.0392673
URI	http://hdl.handle.net/2429/75402
Affiliation	Non UBC
Peer Review Status	Unreviewed
Scholarly Level	Researcher
Rights URI	http://creativecommons.org/licenses/by-nc-nd/4.0/
Aggregated Source Repository	DSpace

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