An entropic interpolation proof of the HWI inequality
Ivan Gentil (ICJ), Christian L\'eonard (MODAL'X), Luigia Ripani (ICJ),, Luca Tamanini

TL;DR
This paper introduces a new proof of the HWI inequality using entropic interpolations, which are smoother than displacement interpolations, providing a more regular and intuitive approach aligned with Otto-Villani heuristics.
Contribution
The paper offers a novel pathwise proof of the HWI inequality based on entropic interpolations, contrasting with traditional displacement-based methods.
Findings
Entropic interpolations are regular in space and time.
The proof aligns with Otto-Villani heuristics.
Provides a more intuitive understanding of the HWI inequality.
Abstract
We present a pathwise proof of the HWI inequality which is based on en-tropic interpolations rather than displacement ones. Unlike the latter, entropic interpolations are regular both in space and time. Consequently, our approach is closer to the Otto-Villani heuristics, presented in the first part of the article [23], than the original rigorous proof presented in the second part of [23].
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.
