English

Random Riemannian Geometry in 4 Dimensions

Probability 2024-01-24 v1 Differential Geometry Metric Geometry

Abstract

We construct and analyze conformally invariant random fields on 4-dimensional Riemannian manifolds (M,g)(M,g). These centered Gaussian fields hh, called \emph{co-biharmonic Gaussian fields}, are characterized by their covariance kernels kk defined as the integral kernel for the inverse of the \emph{Paneitz operator} \begin{equation*}\mathsf p=\frac1{8\pi^2}\bigg[\Delta^2+ \mathsf{div}\left(2\mathsf{Ric}-\frac23\mathsf{scal}\right)\nabla \bigg]. \end{equation*} The kernel kk is invariant (modulo additive corrections) under conformal transformations, and it exhibits a precise logarithmic divergence k(x,y)log1d(x,y)C.\Big|k(x,y)-\log\frac1{d(x,y)}\Big|\le C. In terms of the co-biharmonic Gaussian field hh, we define the \emph{quantum Liouville measure}, a random measure on MM, heuristically given as \begin{equation*} d\mu(x):= e^{\gamma h(x)-\frac{\gamma^2}2k(x,x)}\,d \text{vol}_g(x)\,, \end{equation*} and rigorously obtained a.s.~for γ<8|\gamma|<\sqrt8 as weak limit of the RHS with hh replaced by suitable regular approximations (h)N(h_\ell)_{\ell\in\mathbb N}. For the flat torus M=T4M=\mathbb T^4, we provide discrete approximations of the Gaussian field and of the Liouville measures in terms of semi-discrete random objects, based on Gaussian random variables on the discrete torus and piecewise constant functions in the isotropic Haar system.

Keywords

Cite

@article{arxiv.2401.12676,
  title  = {Random Riemannian Geometry in 4 Dimensions},
  author = {Karl-Theodor Sturm},
  journal= {arXiv preprint arXiv:2401.12676},
  year   = {2024}
}
R2 v1 2026-06-28T14:24:35.753Z