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arxiv: 0711.2609 · v1 · submitted 2007-11-16 · 🧮 math-ph · math.CV· math.MP

The birth of a cut in unitary random matrix ensembles

classification 🧮 math-ph math.CVmath.MP
keywords sizeunitarydoubleeigenvalueensembleskernellimitmatrices
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We study unitary random matrix ensembles in the critical regime where a new cut arises away from the original spectrum. We perform a double scaling limit where the size of the matrices tends to infinity, but in such a way that only a bounded number of eigenvalues is expected in the newborn cut. It turns out that limits of the eigenvalue correlation kernel are given by Hermite kernels corresponding to a finite size Gaussian Unitary Ensemble (GUE). When modifying the double scaling limit slightly, we observe a remarkable transition each time the new cut picks up an additional eigenvalue, leading to a limiting kernel interpolating between GUE-kernels for matrices of size k and size k+1. We prove our results using the Riemann-Hilbert approach.

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