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.
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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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