Complemented Brunn-Minkowski inequalities and isoperimetry for homogeneous and non-homogeneous measures

Emanuel Milman, Liran Rotem

Research output: Contribution to journalArticlepeer-review

38 Scopus citations

Abstract

Elementary proofs of sharp isoperimetric inequalities on a normed space (Rn,{norm of matrix}{dot operator}{norm of matrix}) equipped with a measure μ=w(x)dx so that wp is homogeneous are provided, along with a characterization of the corresponding equality cases. When p ∈ (0, ∞ ] and in addition wp is assumed concave, the result is an immediate corollary of the Borell-Brascamp-Lieb extension of the classical Brunn-Minkowski inequality, providing a new elementary proof of a recent Cabré-Ros-Oton-Serra result. When p ∈ (- 1/. n, 0), the relevant property turns out to be a novel ". q-complemented Brunn-Minkowski" inequality:. ∀λ∈(0,1)∀ Borel sets A,B⊂Rnsuch thatμ(Rn/A),μ(Rn/B)<∞,μ*(Rn/(λA+(1-λ)B))≤(λμ(Rn/A)q+(1-λ)μ(Rn/B)q)1/q, which we show is always satisfied by μ when wp is homogeneous with 1q=1p+n; in particular, this is satisfied by the Lebesgue measure with q = 1/. n. This gives rise to a new class of measures, which are "complemented" analogues of the class of convex measures introduced by Borell, but which have vastly different properties. The resulting isoperimetric inequality and characterization of isoperimetric minimizers extends beyond the recent results of Cañete-Rosales and Howe. The isoperimetric and Brunn-Minkowski type inequalities also extend to the non-homogeneous setting, under a certain log-convexity assumption on the density. Finally, we obtain functional, Sobolev and Nash-type versions of the studied inequalities.

Original languageEnglish (US)
Pages (from-to)867-908
Number of pages42
JournalAdvances in Mathematics
Volume262
DOIs
StatePublished - Sep 10 2014

Keywords

  • Borell-Brascamp-Lieb inequality
  • Complemented Brunn-Minkowski inequality
  • Homogeneous measures
  • Isoperimetry on cones

Fingerprint

Dive into the research topics of 'Complemented Brunn-Minkowski inequalities and isoperimetry for homogeneous and non-homogeneous measures'. Together they form a unique fingerprint.

Cite this