Classical Skew Orthogonal Polynomials and Random Matrices |
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Authors: | M Adler P J Forrester T Nagao P van Moerbeke |
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Institution: | (1) Department of Mathematics, Brandeis University, Waltham, Massachusetts, 02454;(2) Department of Mathematics and Statistics, University of Melbourne, Parkville, 3052, Australia;(3) Department of Physics, Graduate School of Science, Osaka University, Toyonaka, Osaka, 560-0043, Japan;(4) Department of Mathematics, Université de Louvain-la-Neuve, Belgium, and Brandeis University, Waltham, Massachusetts, 02454 |
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Abstract: | Skew orthogonal polynomials arise in the calculation of the n-point distribution function for the eigenvalues of ensembles of random matrices with orthogonal or symplectic symmetry. In particular, the distribution functions are completely determined by a certain sum involving the skew orthogonal polynomials. In the case that the eigenvalue probability density function involves a classical weight function, explicit formulas for the skew orthogonal polynomials are given in terms of related orthogonal polynomials, and the structure is used to give a closed-form expression for the sum. This theory treates all classical cases on an equal footing, giving formulas applicable at once to the Hermite, Laguerre, and Jacobi cases. |
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Keywords: | random matrices correlation functions orthogonal polynomials |
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