Rigidity of random stationary measures and applications to point processes - Archive ouverte HAL
Pré-Publication, Document De Travail Année : 2024

Rigidity of random stationary measures and applications to point processes

Résumé

The mass rigidity of a stationary random measure M on Rd or Zd (called number rigidity for a point process) entails that for a bounded set A the knowledge of M on Ac determines M(A); the k-order rigidity for an integer k means we can recover the moments of the restriction of M onto A up to order k. We show that the k-rigidity properties of a random stationary measure M can be characterised by the integrability properties around 0 of s, the continuous part of the spectral measure, by exploiting a connection with Schwartz’ Paley-Wiener theorem for analytic functions of exponential type. If 1/s is not integrable in zero, M is mass rigid, and similarly if s has a zero of order 2k in 0, then M is k-rigid. In the continuous setting, these local conditions are also necessary if s has finitely many zeros, or is isotropic, or is at the opposite separable. This explains why no model seems to exhibit rigidity in dimension d ⩾ 3, and allows to efficiently recover many recent rigidity results about point processes. In the discrete setting, these results hold provided #A > 2k. For a continuous Determinantal point process with reduced kernel κ, k-rigidity is equivalent to 1/(1 − κ^2) having a zero of order 2k in 0, which answers questions on com- pleteness and number rigidity. We also explore the consequences of these statements in the less tractable realm of Riesz gases.
Fichier principal
Vignette du fichier
linear-rigidity.pdf (414.46 Ko) Télécharger le fichier
Origine Fichiers produits par l'(les) auteur(s)

Dates et versions

hal-04710645 , version 1 (26-09-2024)
hal-04710645 , version 2 (07-11-2024)

Identifiants

Citer

Raphaël Lachièze-Rey. Rigidity of random stationary measures and applications to point processes. 2024. ⟨hal-04710645v1⟩
177 Consultations
81 Téléchargements

Altmetric

Partager

More