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19972005
most citedInterpretations of some parameter dependent generalizations of classical matrix ensembles

4 citations · 7 across the 8 of their papers we have counts for

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math-ph2004

Spacing distributions in random matrix ensembles

P. J. Forrester

This paper is my contribution to the planned publication Recent Perspectives in Random Matrix Theory (Cambridge University Press). Addressed is the problem of computing spacing dis…

math-ph2003

Discrete Painlevé equations, Orthogonal Polynomials on the Unit Circle and -recurrences for averages over U(N) -- \PVI -functions

P. J. Forrester, N. S. Witte

The theory of orthogonal polynomials on the unit circle is developed for a general class of weights leading to systems of recurrence relations and derivatives of the polynomials an…

math-ph2003

Discrete Painlevé equations, Orthogonal Polynomials on the Unit Circle and N-recurrences for averages over U(N) -- \PIIIa and \PV -functions

P. J. Forrester, N. S. Witte

In this work we show that the Toeplitz determinants with the symbols and -- known -functions for th…

math-ph20024 cited

Interpretations of some parameter dependent generalizations of classical matrix ensembles

Peter J. Forrester, Eric M. Rains

Two types of parameter dependent generalizations of classical matrix ensembles are defined by their probability density functions (PDFs). As the parameter is varied, one interpolat…

math-ph20023 cited

Correlations for superpositions and decimations of Laguerre and Jacobi orthogonal matrix ensembles with a parameter

Peter J. Forrester, Eric M. Rains

A superposition of a matrix ensemble refers to the ensemble constructed from two independent copies of the original, while a decimation refers to the formation of a new ensemble by…

math-ph2000

Exact Wigner surmise type evaluation of the spacing distribution in the bulk of the scaled random matrix ensembles

P. J. Forrester, N. S. Witte

Random matrix ensembles with orthogonal and unitary symmetry correspond to the cases of real symmetric and Hermitian random matrices respectively. We show that the probability dens…