Graph explorer

Random Kähler Metrics

The purpose of this article is to propose a new method to define and calculate path integrals over metrics on a Kähler manifold. The main idea is to use finite dimensional spaces of Bergman metrics, as an approximation to the full space of Kähler metrics. We use the theory of large deviations to decide when a sequence of probability measures on the spaces of Bergman metrics tends to a limit measure on the space of all Kähler metrics. Several examples are considered.

7 nodes6 linksoverview previewRandom Kähler Metrics
7 nodes6 links
Random Kähler Metrics7 visible / 7 total nodes / 9 links
Co-authorshipCo-authorshipCo-authorshipAuthorshipAuthorshipAuthorshipTopic signalTopic signalTopic signalWRandom Kähler Metricspreprint / 2013AFrank FerrariResearcherASemyon KlevtsovResearcherASteve ZelditchResearcherThep-th13268 worksTmath-ph7974 worksTmath.MP7972 works
PaperSignal 106 links

Random Kähler Metrics

preprint / 2013

Open