The matching condition for larger size Riemann-Hilbert problems

TL;DR

This paper introduces a double matching condition for larger size Riemann-Hilbert problems, enabling better local-global parametrix matching and facilitating the derivation of local scaling limits in correlation kernels.

Contribution

It presents a novel double matching approach for Riemann-Hilbert problems, improving upon traditional single matching methods in complex scenarios.

Findings

Double matching condition is feasible in general settings.

Application to local scaling limits of correlation kernels.

Enhanced matching technique applicable to existing literature examples.

Abstract

In a larger size Riemann-Hilbert problem matching the local parametrices with the global parametrix is often a major issue. In this article we present a result that should tackle this problem in natural situations. We prove that, in a general setting, it is possible to obtain a double matching, that is, a matching condition on two circles instead of one circle. We discuss how this matching approach can be used to obtain local scaling limits of correlation kernels and apply our result to several examples from the existing literature.