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<dc:dc xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:invenio="http://invenio-software.org/elements/1.0" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><dc:language>eng</dc:language><dc:creator>Alonso-Gutiérrez, David</dc:creator><dc:title>Distribution of mass in high-dimensional convex bodies</dc:title><dc:identifier>ART-2017-111119</dc:identifier><dc:description>In this paper we will explore the interaction between convex geometry and proba-bility in the study of the distribution of volume in high-dimensional convex bodies. On the one hand, a convex body K in Rn can be understood as a probability space whenthe normalized Lebesgue measure is considered. Thus, probabilistic tools become veryhandy in the study of the behavior of a random vector uniformly distributed inK.This leads to the understanding of how the volume is distributed in a convex body andthe obtention of geometric inequalities. On the other hand, when considering lower-dimensional marginals of the uniform probability measure onK, we leave the class ofuniform probabilities on convex bodies but remain in the class of log-concave probabilities. Many geometric inequalities can be extended to the context of log-concaveprobabilities, leading to functional inequalities for log- concave functions.</dc:description><dc:date>2017</dc:date><dc:source>http://zaguan.unizar.es/record/78789</dc:source><dc:identifier>http://zaguan.unizar.es/record/78789</dc:identifier><dc:identifier>oai:zaguan.unizar.es:78789</dc:identifier><dc:relation>info:eu-repo/grantAgreement/ES/MINECO/MTM2016-77710-P</dc:relation><dc:identifier.citation>Revista de la Academia de Ciencias Exactas, Físico-Químicas y Naturales de Zaragoza 72 (2017), 7-32</dc:identifier.citation><dc:rights>by-nc-nd</dc:rights><dc:rights>http://creativecommons.org/licenses/by-nc-nd/3.0/es/</dc:rights><dc:rights>info:eu-repo/semantics/openAccess</dc:rights></dc:dc>

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