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Please use this identifier to cite or link to this item: http://bura.brunel.ac.uk/handle/2438/3428

Title: Gap probabilities in non-Hermitian random matrix theory
Authors: Akemann, G
Phillips, MJ
Shifrin, L
Keywords: Random Matrix Theory
Non-Hermitian
Gap Probabilities
Publication Date: 2009
Publisher: American Institute of Physics
Citation: Journal of Mathematical Physics. 50 (063504), Jun 2009
Abstract: We compute the gap probability that a circle of radius r around the origin contains exactly k complex eigenvalues. Four different ensembles of random matrices are considered: the Ginibre ensembles and their chiral complex counterparts, with both complex (beta=2) or quaternion real (beta=4) matrix elements. For general non-Gaussian weights we give a Fredholm determinant or Pfaffian representation respectively, depending on the non-Hermiticity parameter. At maximal non-Hermiticity, that is for rotationally invariant weights, the product of Fredholm eigenvalues for beta=4 follows from beta=2 by skipping every second factor, in contrast to the known relation for Hermitian ensembles. On additionally choosing Gaussian weights we give new explicit expressions for the Fredholm eigenvalues in the chiral case, in terms of Bessel-K and incomplete Bessel-I functions. This compares to known results for the Ginibre ensembles in terms of incomplete exponentials. Furthermore we present an asymptotic expansion of the logarithm of the gap probability for large argument r at large N in all four ensembles, up to including the third order linear term. We can provide strict upper and lower bounds and present numerical evidence for its conjectured values, depending on the number of exact zero eigenvalues in the chiral ensembles. For the Ginibre ensemble at beta=2 exact results were previously derived by Forrester.
URI: http://jmp.aip.org/
http://bura.brunel.ac.uk/handle/2438/3428
DOI: http://dx.doi.org/10.1063/1.3133108
Appears in Collections:School of Information Systems, Computing and Mathematics Research Papers
Mathematical Physics
Mathematical Science

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