On the role of Convexity in Functional and Isoperimetric Inequalities
Emanuel Milman

TL;DR
This paper explores how convexity assumptions enable reversing the usual implications between isoperimetric and functional inequalities, unifying various inequalities and extending known results to broader geometric contexts.
Contribution
It develops a unified framework linking isoperimetric, Orlicz-Sobolev, and capacity inequalities under convexity, and extends stability and equivalence results to Riemannian manifolds with density.
Findings
Reversal of isoperimetric-functional inequality implications under convexity.
Extension of stability of isoperimetric profiles under tensorization.
Equivalence of q-log-Sobolev and isoperimetric inequalities on convex spaces.
Abstract
This is a continuation of our previous work 0712.4092. It is well known that various isoperimetric inequalities imply their functional ``counterparts'', but in general this is not an equivalence. We show that under certain convexity assumptions (e.g. for log-concave probability measures in Euclidean space), the latter implication can in fact be reversed for very general inequalities, generalizing a reverse form of Cheeger's inequality due to Buser and Ledoux. We develop a coherent single framework for passing between isoperimetric inequalities, Orlicz-Sobolev functional inequalities and capacity inequalities, the latter being notions introduced by Maz'ya and extended by Barthe--Cattiaux--Roberto. As an application, we extend the known results due to the latter authors about the stability of the isoperimetric profile under tensorization, when there is no Central-Limit obstruction. As…
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