A generalized Legendre duality relation and Gaussian saturation
Shohei Nakamura, Hiroshi Tsuji

TL;DR
This paper generalizes the Legendre duality relation and proves Gaussian saturation properties related to a Blaschke--Santaló type inequality, with applications in convex geometry and optimal transportation.
Contribution
It extends the duality relation to multiple functions and establishes Gaussian saturation for a broad class of inequalities, linking Legendre duality with inverse Brascamp--Lieb inequalities.
Findings
Proved Gaussian saturation for inverse Brascamp--Lieb inequality with even, log-concave functions.
Confirmed a key case of the Kolesnikov-Werner conjecture on Blaschke--Santaló inequality.
Provided an affirmative answer to a Talagrand-type inequality conjecture involving Wasserstein barycenters.
Abstract
Motivated by the barycenter problem in optimal transportation theory, Kolesnikov--Werner recently extended the notion of the Legendre duality relation for two functions to the case for multiple functions. We further generalize the duality relation and then establish the centered Gaussian saturation property for a Blaschke--Santal\'{o} type inequality associated with it. Our approach to the understanding such a generalized Legendre duality relation is based on our earlier observation that directly links Legendre duality with the inverse Brascamp--Lieb inequality. More precisely, for a large family of degenerate Brascamp--Lieb data, we prove that the centered Gaussian saturation property for the inverse Brascamp--Lieb inequality holds true when inputs are restricted to even and log-concave functions. As an application to convex geometry, we establish the most important case of a…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsStatistical and numerical algorithms · Advanced Optimization Algorithms Research · Image and Signal Denoising Methods
