Kähler–Einstein metrics, canonical random point processes and birational geometry

R. Berman
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引用次数: 29

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.
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Kähler-Einstein度量,规范随机点过程和双对数几何
在本论文和配套论文[8]中,介绍了一种研究复代数变量X上规范度量和测度的概率(统计力学)方法。在任何这样的具有正Kodaira维数的变量上,定义了一个正则(双不变量)随机点过程,并证明其在概率上收敛于X上的正则确定性测度,与Song-Tian和Tsuji的正则测度相一致。该证明是基于奇异哈密顿量的Gibbs测度的一个新的大偏差原理,该原理依赖于一个在大维上的渐近次均值不等式,该证明已在另一篇论文中得到证明。对于一般型的变种X,我们推论出负Ricci曲率X上的(可能是奇异的)K\ ahler-Einstein度规是准显式Bergman型度规正则序列的极限。在Fano变量X的相反设置中,我们将正则点过程与稳定性的新概念联系起来,我们称之为吉布斯稳定性,它允许一个自然的代数几何公式,并且我们推测它等价于X上K\ ahler-Einstein度规的存在,从而等价于如Yau-Tian-Donaldson猜想中的K稳定性。
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