Random normal matrices, Bergman kernel and projective embeddings

Klevtsov, Semyon

doi:10.1007/JHEP01(2014)133

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Random normal matrices, Bergman kernel and projective embeddings

2014-01-24

Klevtsov, Semyon *

DOI：10.1007/JHEP01(2014)133

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Abstract

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We investigate the analogy between the large N expansion in normal matrix models and the asymptotic expansion of the determinant of the Hilb map, appearing in the study of critical metrics on complex manifolds via projective embeddings. This analogy helps to understand the geometric meaning of the expansion of matrix model free energy and its relation to gravitational effective actions in two dimensions. We compute the leading terms of the free energy expansion in the pure bulk case, and make some observations on the structure of the expansion to all orders. As an application of these results, we propose an asymptotic formula for the Liouville action, restricted to the space of the Bergman metrics.

Keywords:

Matrix Models

2D Gravity

Differential and Algebraic Geometry