Statistical reconstruction of the GFF and KT transition

Abstract

In this paper, we focus on the following question. Assume $\varphi$ is a discrete Gaussian free field (GFF) on $\Lambda \subset \frac{1}{n}{\mathbb{Z}}^2$ and that we are given $e^{iT\varphi }$, or equivalently $\varphi (\mathrm{mod}2\pi T)$. Can we recover the macroscopic observables of $\varphi$ with $o(1)$ precision? We prove that this statistical reconstruction problem undergoes the following Kosterlitz–Thouless type phase transition:

• If $T<T_{\text{rec}}^{-}$ , one can fully recover $\varphi$ from the knowledge of $\varphi (\mathrm{mod}2\pi T)$. In this regime our proof relies on a new type of Peierls argument which we call annealed Peierls argument and which allows us to deal with an unknown quenched ground state.
• If $T>T_{\text{rec}}^{+}$, it is impossible to fully recover the field $\varphi$ from the knowledge of $\varphi (\mathrm{mod}2\pi T)$. To prove this result, we generalize the delocalization theorem by Fröhlich–Spencer to the case of integer-valued GFF in an inhomogeneous medium. This delocalization result is of independent interest and we give an application of our techniques to the random-phase sine-Gordon model in Appendix B. Also, an interesting connection with Riemann theta functions is drawn along the proof.

This statistical reconstruction problem is motivated by the two-dimensional XY and Villain models. Indeed, at low temperature $T$, the large scale fluctuations of these continuous spin systems are conjectured to be governed by a Gaussian free field. It is then natural to ask if one can recover the underlying macroscopic GFF from the observation of the spins of the XY or Villain model. Another motivation for this work is that it provides us with an “integrable model” (the GFF) that undergoes a KT transition.