A deletion-invariance property for random measures satisfying the Ghirlanda-Guerra identities
Dmitry Panchenko

TL;DR
This paper proves a deletion-invariance property for discrete random measures satisfying the Ghirlanda-Guerra identities, showing that randomly deleting half of the points and renormalizing preserves the measure's distribution up to rotations.
Contribution
It establishes a novel invariance property of such measures under random deletion and renormalization, extending understanding of their structural symmetries.
Findings
Deletion-invariance property proven for measures satisfying Ghirlanda-Guerra identities
Random deletion and renormalization preserve the measure's distribution up to rotations
Enhances understanding of symmetries in spin glass models
Abstract
We show that if a discrete random measure on the unit ball of a separable Hilbert space satisfies the Ghirlanda-Guerra identities then by randomly deleting half of the points and renormalizing the weights of the remaining points we obtain the same random measure in distribution up to rotations.
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
TopicsGeometry and complex manifolds
