2014
DOI: 10.1007/s00220-014-1988-y
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Random Matrices with Equispaced External Source

Abstract: We study Hermitian random matrix models with an external source matrix which has equispaced eigenvalues, and with an external field such that the limiting mean density of eigenvalues is supported on a single interval as the dimension tends to infinity. We obtain strong asymptotics for the multiple orthogonal polynomials associated to these models, and as a consequence for the average characteristic polynomials. One feature of the multiple orthogonal polynomials analyzed in this paper is that the number of orth… Show more

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Cited by 32 publications
(60 citation statements)
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“…2 periodic functions e πω 1 y , e πω 2 y and with respect to the weight e −W(y) supported on R. As shown by Claeys and Wang [46] for a specific degeneration (which corresponds basically to sending one of the ω's in (1.5.27) to zero) and then in full extent by Claeys and Romano [45], such a system of bi-orthogonal polynomials solves a vector Riemann-Hilbert problem. Furthermore, the non-linear steepest descent approach [54,55] to the uniform in the variable large degree-N asymptotics of orthogonal polynomials can be generalised to such a bi-orthogonal setting, leading to Plancherel-Rotach like asymptotics for these bi-orthogonal polynomials [46].…”
Section: Putting In Perspective the Bi-orthogonal Ensemblesmentioning
confidence: 89%
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“…2 periodic functions e πω 1 y , e πω 2 y and with respect to the weight e −W(y) supported on R. As shown by Claeys and Wang [46] for a specific degeneration (which corresponds basically to sending one of the ω's in (1.5.27) to zero) and then in full extent by Claeys and Romano [45], such a system of bi-orthogonal polynomials solves a vector Riemann-Hilbert problem. Furthermore, the non-linear steepest descent approach [54,55] to the uniform in the variable large degree-N asymptotics of orthogonal polynomials can be generalised to such a bi-orthogonal setting, leading to Plancherel-Rotach like asymptotics for these bi-orthogonal polynomials [46].…”
Section: Putting In Perspective the Bi-orthogonal Ensemblesmentioning
confidence: 89%
“…The case f (λ) = λ θ and g(λ) = λ is of special interest, since the bi-orthogonal polynomials can be effectively described. In [21] Borodin was able to establish certain universality results for specific examples of confining potentials V. Furthermore, it was observed, first on a specific example by Claeys and Wang [46] and then in full generality by Claeys and Romano [45] that the bi-orthogonal polynomials can be characterised by means of a Riemann-Hilbert problem. However, for the moment, the Riemann-Hilbert problem-based machinery still did not lead to the asymptotic evaluation of the associated partition functions.…”
Section: Biorthogonal Ensemblesmentioning
confidence: 94%
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“…The matrix D n is usually referred to as an external source in the mathematical physics literature (see [3,7,8,10] and references therein).…”
Section: 2mentioning
confidence: 99%
“…In [10], Claeys and Wang study an ensemble of random matrices that generalizes (9) when D n has equispaced eigenvalues.…”
Section: 2mentioning
confidence: 99%