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Symmetry, Integrability and Geometry: Methods and Applications, 2006, Volume 2, 085, 12 pp.
DOI: https://doi.org/10.3842/SIGMA.2006.085
(Mi sigma113)
 

This article is cited in 6 scientific papers (total in 6 papers)

Multivariable Christoffel–Darboux Kernels and Characteristic Polynomials of Random Hermitian Matrices

Hjalmar Rosengren

Department of Mathematical Sciences, Chalmers University of Technology and Göteborg University, SE-412 96 Göteborg, Sweden
Full-text PDF (241 kB) Citations (6)
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Abstract: We study multivariable Christoffel–Darboux kernels, which may be viewed as reproducing kernels for antisymmetric orthogonal polynomials, and also as correlation functions for products of characteristic polynomials of random Hermitian matrices. Using their interpretation as reproducing kernels, we obtain simple proofs of Pfaffian and determinant formulas, as well as Schur polynomial expansions, for such kernels. In subsequent work, these results are applied in combinatorics (enumeration of marked shifted tableaux) and number theory (representation of integers as sums of squares).
Keywords: Christoffel–Darboux kernel; multivariable orthogonal polynomial; Pfaffian; determinant; correlation function; random Hermitian matrix; orthogonal polynomial ensemble; Sundquist’s identities.
Received: October 11, 2006; Published online December 4, 2006
Bibliographic databases:
Document Type: Article
MSC: 15A15; 15A52; 42C05
Language: English
Citation: Hjalmar Rosengren, “Multivariable Christoffel–Darboux Kernels and Characteristic Polynomials of Random Hermitian Matrices”, SIGMA, 2 (2006), 085, 12 pp.
Citation in format AMSBIB
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\by Hjalmar Rosengren
\paper Multivariable Christoffel--Darboux Kernels and Characteristic Polynomials of Random Hermitian Matrices
\jour SIGMA
\yr 2006
\vol 2
\papernumber 085
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  • This publication is cited in the following 6 articles:
    Citing articles in Google Scholar: Russian citations, English citations
    Related articles in Google Scholar: Russian articles, English articles
    Symmetry, Integrability and Geometry: Methods and Applications
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