Post on 18-Jul-2020
transcript
April 27-May 1, 2015
IMA Workshops
OrgAnIzers
sergey Bobkov, University of Minnesota, Twin Citiessergei Kislyakov, Russian Academy of SciencesMichel Ledoux, Université de Toulouse (Paul Sabatier)Andrei zaitsev, Russian Academy of Sciences
speAKersDominique Bakry, Université de Toulouse (Paul Sabatier)
paul Bourgade, Courant Institute of Mathematical Sciences
Andrea Colesanti, (Università di Firenze
partha Dey, University of Illinois at Urbana-Champaign
Wilfrid gangbo, Georgia Institute of Technology
Maria gordina, University of Connecticut
steve Heilman, University of California, Los Angeles
Alexander Koldobsky, University of Missouri
Mikhail Lifshits, St. Petersburg State University
robert McCann, University of Toronto
Fedor nazarov, Kent State University
giovanni peccati, University of Luxembourg
Magda peligrad, University of Cincinnati
Brian rider, University of Colorado
Cyril roberto, Université Paris Ouest
paolo salani, Università di Firenze
paul-Marie samson, Université Paris-Est
Alexander Tikhomirov, Russian Academy of Sciences
elisabeth Werner, University of Minnesota Twin Cities
Jun Yin, University of Wisconsin, Madison
Analytic Tools in probability and Applications
Fundamental achievements over the last three decades by V. Milman, M. Gromov, and M. Talagrand on asymptotic geometric analysis and isoperimetry for product measures emphasized central analytic tools and ideas in the investigation of probabilistic models. Simultaneously, the analysis and geometry of Markov operators and new striking developments in optimal transportation extended the range of methods and results to a wide spectrum of mathematics, including convex geometry, probability theory, and statistical mechanics. The scope of the workshop is to strengthen these powerful methods towards challenging issues and applications, in particular the KLS conjectureon log-concave measures or super-concentration properties of models from random matrixtheory and statistical mechanics. New perspectives motivated by these applications strongly favor the analysis of discrete models. The workshop will bring together researchers and experts from a broad spectrum in analysis and probability theory to work toward new developments.
www.ima.umn.edu/2014-2015/W4.27-5.1.15
The IMA is a NSF-funded institute