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Properties of the Gradient Squared of the Discrete Gaussian Free Field

Cipriani, A; Hazra, RS; Rapoport, A; Ruszel, WM; (2023) Properties of the Gradient Squared of the Discrete Gaussian Free Field. Journal of Statistical Physics , 190 (11) , Article 171. 10.1007/s10955-023-03187-3. Green open access

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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 .

Type: Article
Title: Properties of the Gradient Squared of the Discrete Gaussian Free Field
Open access status: An open access version is available from UCL Discovery
DOI: 10.1007/s10955-023-03187-3
Publisher version: https://doi.org/10.1007/s10955-023-03187-3
Language: English
Additional information: © 2023 Springer Nature. This article is licensed under a Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/).
Keywords: Scaling limit, Gaussian free field, Abelian sandpile model, Cumulants, K-point correlation functions, Fock spaces, Besov–Hölder spaces, Point processes
UCL classification: UCL
UCL > Provost and Vice Provost Offices > UCL BEAMS
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Maths and Physical Sciences
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Maths and Physical Sciences > Dept of Statistical Science
URI: https://discovery-pp.ucl.ac.uk/id/eprint/10182478
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