Published online by Cambridge University Press: 29 May 2025
We consider _ matrix models with real analytic potentials for both one-cut and multi-cut regimes. We discuss recent results on the asymptotic expansion of the correlators and partition functions and their applications to the studies of random matrices.
1. Introduction
We consider the probability measure on ℝn of the form
where the function H, which we call the Hamiltonian to stress the analogy with statistical mechanics, and the normalizing constant Qn,β[V] (partition function) have the form
The function V (called the potential) is a real-valued Hölder function satisfying the condition
We will study the asymptotic behavior (for large n) of Qn,β[V]and the marginal densities of (1-1) (correlation functions)
The distribution (1-1) can be considered for any β> 0, but the cases β = 1, 2, 4 are especially important, since they correspond to the eigenvalue distribution of real symmetric, hermitian, and symplectic matrix models respectively.
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