paper

Local picture and level-set percolation of the Gaussian free field on a large discrete torus

arXiv:1707.05935 · doi:10.1016/j.spa.2018.09.017

Abstract

For we obtain an approximation of the zero-average Gaussian free field on the discrete -dimensional torus of large side length by the Gaussian free field on , valid in boxes of roughly side length with . As an implication, the level sets of the zero-average Gaussian free field on the torus can be approximated by the level sets of the Gaussian free field on . This leads to a series of applications related to level-set percolation. We show that level sets of the zero-average Gaussian free field on the torus for levels (where denotes the critical value for level-set percolation of the Gaussian free field on ) with high probability contain no connected component of volume comparable to the total volume of the torus. Moreover, level sets with with high probability contain a connected component of (extrinsic) diameter comparable to the torus diameter . We also show that level sets of the zero-average Gaussian free field on the torus for levels above a second critical parameter , again defined via the Gaussian free field on , with high probability only contain connected components negligible in their size when compared to the size of the torus. Similar results have been obtained by A. Teixeira and D. Windisch in [Comm. Pure Appl. Math., 64(12):1599-1646, 2011] and J. Černý and A. Teixeira in [Ann. Appl. Probab., 26(5):2883-2914, 2016] for the vacant set of simple random walk on a large discrete torus with the help of random interlacements on , introduced by A.-S. Sznitman in [Ann. of Math. (2), 171(3):2039-2087, 2010].

23 pages, to appear in Stochastic Processes and their Applications

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