Random matrices with external source and multiple orthogonal polynomials

By Pavel Bleher, Arno B. J. Kuijlaars. 2003

182 citations recorded by the source corpus.

We show that the average characteristic polynomial Pn(z) = E[det(zI−M)] of the random Hermitian matrix ensemble Z 1 n exp(−Tr(V (M) − AM))dM is characterized by multiple orthogonality conditions that depend on the eigenvalues of the external source A. For each eigenvalue aj of A, there is a weight and Pn has nj orthogonality conditions with respect to this weight, if nj is the multiplicity of aj. The eigenvalue correlation functions have determinantal form, as shown by Zinn-Justin. Here we give a different expression for the kernel. We derive a Christoffel-Darboux formula in case A has two distinct eigenvalues, which leads to a compact formula in terms of a Riemann-Hilbert problem that is satisfied by multiple orthogonal polynomials.

Subfields: Applied Mathematics, Mathematical Physics, Statistics and Probability

View Paper: https://www.semanticscholar.org/paper/f503e061e9c05a94d2eeddf9501e0cad002c1180

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In Applied Mathematics

  1. Arno B. J. Kuijlaars
  2. Pavel Bleher
  3. Walter Van Assche
  4. Franck Wielonsky
  5. Alexander I. Aptekarev
  6. Andrei Martínez-Finkelshtein
  7. K. Mclaughlin
  8. Maxim L. Yattselev

In Mathematical Physics

  1. Arno B. J. Kuijlaars
  2. Pavel Bleher
  3. Walter Van Assche
  4. Alexander I. Aptekarev

In Statistics and Probability

  1. Arno B. J. Kuijlaars
  2. Pavel Bleher
  3. Walter Van Assche
  4. Franck Wielonsky

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