• Corpus ID: 211532736

# Statistical reconstruction of the Gaussian free field and KT transition

@article{Garban2020StatisticalRO,
title={Statistical reconstruction of the Gaussian free field and KT transition},
author={Christophe Garban and Avelio Sep'ulveda},
journal={arXiv: Probability},
year={2020}
}
• Published 27 February 2020
• Mathematics
• arXiv: Probability
In this paper, we focus on the following question. Assume $\phi$ is a discrete Gaussian free field (GFF) on $\Lambda \subset \frac 1 n \mathbb{Z}^2$ and that we are given $e^{iT \phi}$, or equivalently $\phi \pmod{\frac {2\pi} T}$. Can we recover the macroscopic observables of $\phi$ up to $o(1)$ precision? We prove that this statistical reconstruction problem undergoes the following Kosterlitz-Thouless type phase transition: -) If $T<T_{rec}^-$ , one can fully recover $\phi$ from the…

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