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19942023
most citedApplication of the -Function Theory of Painlevé Equations to Random Matrices: PIV, PII and the GUE

193 citations · 2.8k across the 159 of their papers we have counts for

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Showing 2019 · math-phShow all

10 papers · 2 filters

math-ph2019★ 16 cited

Harmonic analysis for rank-1 Randomised Horn Problems

Jiyuan Zhang, Mario Kieburg, Peter J. Forrester

The randomised Horn problem, in both its additive and multiplicative version, has recently drawn increasing interest. Especially, closed analytical results have been found for the…

math-ph2019★ 3 cited

Classical skew orthogonal polynomials in a two-component log-gas with charges and

Peter J Forrester, Shi-Hao Li

There is a two-component log-gas system with Boltzmann factor which provides an interpolation between the eigenvalue PDF for and invariant random matrix ensembles. Th…

math-ph2019

Moments of the ground state density for the -dimensional Fermi gas in an harmonic trap

Peter J. Forrester

We consider properties of the ground state density for the -dimensional Fermi gas in an harmonic trap. Previous work has shown that the -dimensional Fourier transform has a v…

math-ph2019

Applications in random matrix theory of a PIII -function sequence from Okamoto's Hamiltonian formulation

Dan Dai, Peter J. Forrester, Shuai-Xia Xu

We consider the singular linear statistic of the Laguerre unitary ensemble consisting of the sum of the reciprocal of the eigenvalues. It is observed that the exponential generatin…

math-ph2019★ 14 cited

Linear Differential Equations for the Resolvents of the Classical Matrix Ensembles

Anas A. Rahman, Peter J. Forrester

The spectral density for random matrix ensembles can be written in terms of the average of the absolute value of the characteristic polynomial raised to the power of , which…

math-ph2019★ 9 cited

Co-rank 1 projections and the randomised Horn problem

Peter J. Forrester, Jiyuan Zhang

Let be a normalised standard complex Gaussian vector, and project an Hermitian matrix onto the hyperplane orthogonal to . In a recent…