MIT Libraries logoDSpace@MIT

MIT
View Item 
  • DSpace@MIT Home
  • MIT Open Access Articles
  • MIT Open Access Articles
  • View Item
  • DSpace@MIT Home
  • MIT Open Access Articles
  • MIT Open Access Articles
  • View Item
JavaScript is disabled for your browser. Some features of this site may not work without it.

A Bayesian Proof of the Spread Lemma

Author(s)
Mossel, Elchanan; Niles‐Weed, Jonathan; Sun, Nike; Zadik, Ilias
Thumbnail
DownloadPublished version (188.5Kb)
Publisher with Creative Commons License

Publisher with Creative Commons License

Creative Commons Attribution

Terms of use
Creative Commons Attribution https://creativecommons.org/licenses/by/4.0/
Metadata
Show full item record
Abstract
A key set-theoretic “spread” lemma has been central to two recent celebrated results in combinatorics: the recentimprovements on the sunflower conjecture by Alweiss, Lovett, Wu, and Zhang; and the proof of the fractionalKahn–Kalai conjecture by Frankston, Kahn, Narayanan, and Park. In this work, we present a new proof of the spreadlemma, that—perhaps surprisingly—takes advantage of an explicit recasting of the proof in the language of Bayesianinference. We show that from this viewpoint the reasoning proceeds in a straightforward and principled probabilisticmanner, leading to a truncated second moment calculation which concludes the proof.
Date issued
2025-06-06
URI
https://hdl.handle.net/1721.1/162867
Department
Massachusetts Institute of Technology. Department of Mathematics
Journal
Random Structures & Algorithms
Publisher
Wiley
Citation
Mossel, E., Niles-Weed, J., Sun, N. and Zadik, I. (2025), A Bayesian Proof of the Spread Lemma. Random Struct Alg, 66: e70008.
Version: Final published version

Collections
  • MIT Open Access Articles

Browse

All of DSpaceCommunities & CollectionsBy Issue DateAuthorsTitlesSubjectsThis CollectionBy Issue DateAuthorsTitlesSubjects

My Account

Login

Statistics

OA StatisticsStatistics by CountryStatistics by Department
MIT Libraries
PrivacyPermissionsAccessibilityContact us
MIT
Content created by the MIT Libraries, CC BY-NC unless otherwise noted. Notify us about copyright concerns.