English

Kahler-Einstein metrics, canonical random point processes and birational geometry

Differential Geometry 2016-09-20 v2 Mathematical Physics Algebraic Geometry Complex Variables math.MP

Abstract

In the present paper and the companion paper [8] a probabilistic (statistical mechanical) approach to the study of canonical metrics and measures on a complex algebraic variety X is introduced. On any such variety with positive Kodaira dimension a canonical (birationally invariant) random point processes is defined and shown to converge in probability towards a canonical deterministic measure on X, coinciding with the canonical measure of Song-Tian and Tsuji. The proof is based on new large deviation principle for Gibbs measures with singular Hamiltonians which relies on an asymptotic submean inequality in large dimensions, proved in a companion paper. In the case of a variety X of general type we obtain as a corollary that the (possibly singular) K\"ahler-Einstein metric on X with negative Ricci curvature is the limit of a canonical sequence of quasi-explicit Bergman type metrics. In the opposite setting of a Fano variety X we relate the canonical point processes to a new notion of stability, that we call Gibbs stability, which admits a natural algebro-geometric formulation and which we conjecture is equivalent to the existence of a K\"ahler-Einstein metric on X and hence to K-stability as in the Yau-Tian-Donaldson conjecture.

Keywords

Cite

@article{arxiv.1307.3634,
  title  = {Kahler-Einstein metrics, canonical random point processes and birational geometry},
  author = {Robert J. Berman},
  journal= {arXiv preprint arXiv:1307.3634},
  year   = {2016}
}

Comments

Version 2 (39 pages): This version, together with the companion paper "Large deviations for Gibbs measures with singular Hamiltonians and emergence of K\"ahler-Einstein metrics", supersedes version 1

R2 v1 2026-06-22T00:50:53.919Z