On the \(L_p\)-Brunn-Minkowski and dimensional Brunn-Minkowski conjectures for log-concave measures. (English) Zbl 1469.52008
Summary: We study several of the recent conjectures in regards to the role of symmetry in the inequalities of Brunn-Minkowski type, such as the \(L_p\)-Brunn-Minkowski conjecture of Böröczky, Lutwak, Yang and Zhang, and the Dimensional Brunn-Minkowski conjecture of Gardner and Zvavitch, in a unified framework. We obtain several new results for these conjectures. We show that when \(K \subset L,\) the multiplicative form of the \(L_p\)-Brunn-Minkowski conjecture holds for Lebesgue measure for \(p \geq 1-Cn^{-0.75}\), which improves upon the estimate of Kolesnikov and Milman in the partial case when one body is contained in the other. We also show that the multiplicative version of the \(L_p\)-Brunn-Minkowski conjecture for the standard Gaussian measure holds in the case of sets containing sufficiently large ball (whose radius depends on \(p)\). In particular, the Gaussian Log-Brunn-Minkowski conjecture holds when \(K\) and \(L\) contain \(\sqrt{0.5 (n+1)}B_2^n.\) We formulate an a-priori stronger conjecture for log-concave measures, extending both the \(L_p\)-Brunn-Minkowski conjecture and the Dimensional one, and verify it in the case when the sets are dilates and the measure is Gaussian. We also show that the Log-Brunn-Minkowski conjecture, if verified, would yield this more general family of inequalities. Our results build up on the methods developed by Kolesnikov and Milman as well as Colesanti, Livshyts, Marsiglietti. We furthermore verify that the local version of these conjectures implies the global version in the setting of general measures, and this step uses methods developed recently by Putterman.
MSC:
| 52A40 | Inequalities and extremum problems involving convexity in convex geometry |
Keywords:
convex bodies; log-concave measures; Brunn-Minkowski inequality; Gaussian measure; Brascamp-Lieb inequality; Poincaré inequality; log-Minkowski problem; symmetryReferences:
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