Properties of the Gradient Squared of the Discrete Gaussian Free Field

Alessandra Cipriani, Rajat S. Hazra, Alan Rapoport, Wioletta M. Ruszel*

*Corresponding author for this work

Research output: Contribution to journalArticleAcademicpeer-review

Abstract

In this paper we study the properties of the centered (norm of the) gradient squared of the discrete Gaussian free field in Uε= U/ ε∩ Zd , U⊂ Rd and d≥ 2 . The covariance structure of the field is a function of the transfer current matrix and this relates the model to a class of systems (e.g. height-one field of the Abelian sandpile model or pattern fields in dimer models) that have a Gaussian limit due to the rapid decay of the transfer current. Indeed, we prove that the properly rescaled field converges to white noise in an appropriate local Besov-Hölder space. Moreover, under a different rescaling, we determine the k-point correlation function and joint cumulants on Uε and in the continuum limit as ε→ 0 . This result is related to the analogue limit for the height-one field of the Abelian sandpile (Dürre in Stoch Process Appl 119(9):2725–2743, 2009), with the same conformally covariant property in d= 2 .

Original languageEnglish
Article number171
Number of pages33
JournalJournal of Statistical Physics
Volume190
Issue number11
DOIs
Publication statusPublished - 4 Nov 2023

Bibliographical note

Publisher Copyright:
© 2023, The Author(s).

Funding

AC initiated this work at TU Delft funded by Grant 613.009.102 of the Dutch Organisation for Scientific Research (NWO). RSH was supported by a STAR cluster visitor grant during a visit to TU Delft where part of this work was carried out. AR is supported by Klein-2 Grant OCENW.KLEIN.083 and did part of the work at TU Delft.

FundersFunder number
STAROCENW.KLEIN.083
Technische Universiteit Delft613.009.102
Nederlandse Organisatie voor Wetenschappelijk Onderzoek

    Keywords

    • Abelian sandpile model
    • Besov–Hölder spaces
    • Cumulants
    • Fock spaces
    • Gaussian free field
    • K-point correlation functions
    • Point processes
    • Scaling limit

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