Invariances in variance estimates
F. Barthe, D. Cordero-Erausquin

TL;DR
This paper enhances the Brascamp-Lieb variance inequality by incorporating invariance properties, leading to improved spectral gap estimates for symmetric log-concave measures and spin systems.
Contribution
It introduces variants of the inequality that account for measure invariances, advancing spectral gap analysis in symmetric settings.
Findings
Improved spectral gap estimates for symmetric log-concave measures
Enhanced variance bounds for spin systems with symmetries
New variants of the Brascamp-Lieb inequality incorporating invariance
Abstract
We provide variants and improvements of the Brascamp-Lieb variance inequality which take into account the invariance properties of the underlying measure. This is applied to spectral gap estimates for log-concave measures with many symmetries and to non-interacting conservative spin systems.
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.
