2019
DOI: 10.1007/s00220-019-03323-9
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Moments of Random Matrices and Hypergeometric Orthogonal Polynomials

Abstract: We establish a new connection between moments of n × n random matrices Xn and hypergeometric orthogonal polynomials. Specifically, we consider moments E Tr X −s n as a function of the complex variable s ∈ C, whose analytic structure we describe completely. We discover several remarkable features, including a reflection symmetry (or functional equation), zeros on a critical line in the complex plane, and orthogonality relations. An application of the theory resolves part of an integrality conjecture of Cunden e… Show more

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Cited by 37 publications
(89 citation statements)
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References 80 publications
(132 reference statements)
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“…for more details see Proposition 4.4. Thus the formulae of Corollary 2.7 extend the connection between JUE moments tr X k and Wilson polynomials described in [18] (see also [42,43]) to the JUE multi-point correlators tr…”
Section: Remark 17mentioning
confidence: 60%
“…for more details see Proposition 4.4. Thus the formulae of Corollary 2.7 extend the connection between JUE moments tr X k and Wilson polynomials described in [18] (see also [42,43]) to the JUE multi-point correlators tr…”
Section: Remark 17mentioning
confidence: 60%
“…x r 3 = 0, (2.85) [42]. In [23], it is pointed out that such three term recursion is a manifestation of the fact that A (N, M ) is expressible in terms of hypergeometric orthogonal polynomials; this property extends to the entries B (N, M ), as we now show. Introducing the generalized hypergeometric…”
Section: ) and Writingmentioning
confidence: 57%
“…, k ≥ 0, (1.16) which were already derived in the literature [23,44]. From Theorem 1.1, for example, one can deduce compact expressions for correlators of the form…”
Section: Laguerre Unitary Ensemble (Lue) and Formulae For Correlatorsmentioning
confidence: 87%
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