# A large deviation principle for empirical measures on Polish spaces: Application to singular Gibbs measures on manifolds

## TL;DR

This paper establishes a large deviation principle for empirical measures under Gibbs measures on Polish spaces, with applications to Coulomb gases, Fekete points, and Gibbs measures on manifolds, using a general Laplace principle approach.

## Contribution

It introduces a broad Laplace principle framework for Gibbs measures on Polish spaces, extending large deviation results to singular and manifold settings.

## Key findings

- Proves a large deviation principle for Gibbs point processes.
- Applies the results to Coulomb gases and Fekete points.
- Provides a general approach inspired by Dupuis et al. for singular Gibbs measures.

## Abstract

We prove a large deviation principle for a sequence of point processes defined by Gibbs probability measures on a Polish space. This is obtained as a consequence of a more general Laplace principle for the non-normalized Gibbs measures. We consider three main applications: Conditional Gibbs measures on compact spaces, Coulomb gases on compact Riemannian manifolds and the usual Gibbs measures in the Euclidean space. Finally, we study the generalization of Fekete points and prove a deterministic version of the Laplace principle known as $\Gamma$-convergence. The approach is partly inspired by the works of Dupuis and co-authors. It is remarkably natural and general compared to the usual strategies for singular Gibbs measures.