A+ CATEGORY SCIENTIFIC UNIT

On the infimum convolution inequality

Volume 189 / 2008

R. Latała, J. O. Wojtaszczyk Studia Mathematica 189 (2008), 147-187 MSC: Primary 52A20; Secondary 52A40, 60E15. DOI: 10.4064/sm189-2-5

Abstract

We study the infimum convolution inequalities. Such an inequality was first introduced by B. Maurey to give the optimal concentration of measure behaviour for the product exponential measure. We show how ${\rm IC}$ inequalities are tied to concentration and study the optimal cost functions for an arbitrary probability measure $\mu$. In particular, we prove an optimal ${\rm IC}$ inequality for product log-concave measures and for uniform measures on the $\ell_p^n$ balls. Such an optimal inequality implies, for a given measure, the central limit theorem of Klartag and the tail estimates of Paouris.

Authors

  • R. LatałaInstitute of Mathematics
    University of Warsaw
    Banacha 2
    02-097 Warszawa, Poland
    and
    Institute of Mathematics
    Polish Academy of Sciences
    Śniadeckich 8
    P.O. Box 21
    00-956 Warszawa 10, Poland
    e-mail
  • J. O. WojtaszczykInstitute of Mathematics
    University of Warsaw
    Banacha 2
    02-097 Warszawa, Poland
    e-mail

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