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Linear systems and determinantal random point fields.

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Linear systems and determinantal random point fields. / Blower, Gordon.
In: Journal of Mathematical Analysis and Applications, Vol. 355, No. 1, 07.2009, p. 311-334.

Research output: Contribution to Journal/MagazineJournal articlepeer-review

Harvard

Blower, G 2009, 'Linear systems and determinantal random point fields.', Journal of Mathematical Analysis and Applications, vol. 355, no. 1, pp. 311-334. https://doi.org/10.1016/j.jmaa.2009.01.070

APA

Blower, G. (2009). Linear systems and determinantal random point fields. Journal of Mathematical Analysis and Applications, 355(1), 311-334. https://doi.org/10.1016/j.jmaa.2009.01.070

Vancouver

Blower G. Linear systems and determinantal random point fields. Journal of Mathematical Analysis and Applications. 2009 Jul;355(1):311-334. doi: 10.1016/j.jmaa.2009.01.070

Author

Blower, Gordon. / Linear systems and determinantal random point fields. In: Journal of Mathematical Analysis and Applications. 2009 ; Vol. 355, No. 1. pp. 311-334.

Bibtex

@article{fc2097f167b44adb86c8b80a072efb48,
title = "Linear systems and determinantal random point fields.",
abstract = "Tracy and Widom showed that fundamentally important kernels in random matrix theory arise from systems of differential equations with rational coefficient. More generally, this paper considers symmetric Hamiltonian systems and determines the properties of kernels that arise from them. The inverse spectral problem for self-adjoint Hankel operators gives sufficient condition for a self-adjoint operator to be the Hankel operator on L^2(0, \infinity ) from a linear system in continuous time; so this paper expresses certain kernels as squares of Hankel operators. For suitable systems (-A,B,C) with one dimensional input and output spaces, there exists a Hankel operator \Gamma with kernel \phi such that \det (I+(z-1)\Gamma\Gamma^\dagger) is the generating function of a dterminnatal random point field on (0, \infty ). The invrse scattering transform for the Zhakarov--Shabat system involves an Gelfand--Levitan integral equation such that the daigonal of te solution gives the derivative of th log generating function. Some dtererminatal print fields in random matrix theory satisfy similar results.",
keywords = "Determinantal point processes, Random matrices, Inverse scattering",
author = "Gordon Blower",
note = "The final, definitive version of this article has been published in the Journal, Journal of Mathematical Analysis and Applications 355 (1), 2009, {\textcopyright} ELSEVIER.",
year = "2009",
month = jul,
doi = "10.1016/j.jmaa.2009.01.070",
language = "English",
volume = "355",
pages = "311--334",
journal = "Journal of Mathematical Analysis and Applications",
issn = "0022-247X",
publisher = "Academic Press Inc.",
number = "1",

}

RIS

TY - JOUR

T1 - Linear systems and determinantal random point fields.

AU - Blower, Gordon

N1 - The final, definitive version of this article has been published in the Journal, Journal of Mathematical Analysis and Applications 355 (1), 2009, © ELSEVIER.

PY - 2009/7

Y1 - 2009/7

N2 - Tracy and Widom showed that fundamentally important kernels in random matrix theory arise from systems of differential equations with rational coefficient. More generally, this paper considers symmetric Hamiltonian systems and determines the properties of kernels that arise from them. The inverse spectral problem for self-adjoint Hankel operators gives sufficient condition for a self-adjoint operator to be the Hankel operator on L^2(0, \infinity ) from a linear system in continuous time; so this paper expresses certain kernels as squares of Hankel operators. For suitable systems (-A,B,C) with one dimensional input and output spaces, there exists a Hankel operator \Gamma with kernel \phi such that \det (I+(z-1)\Gamma\Gamma^\dagger) is the generating function of a dterminnatal random point field on (0, \infty ). The invrse scattering transform for the Zhakarov--Shabat system involves an Gelfand--Levitan integral equation such that the daigonal of te solution gives the derivative of th log generating function. Some dtererminatal print fields in random matrix theory satisfy similar results.

AB - Tracy and Widom showed that fundamentally important kernels in random matrix theory arise from systems of differential equations with rational coefficient. More generally, this paper considers symmetric Hamiltonian systems and determines the properties of kernels that arise from them. The inverse spectral problem for self-adjoint Hankel operators gives sufficient condition for a self-adjoint operator to be the Hankel operator on L^2(0, \infinity ) from a linear system in continuous time; so this paper expresses certain kernels as squares of Hankel operators. For suitable systems (-A,B,C) with one dimensional input and output spaces, there exists a Hankel operator \Gamma with kernel \phi such that \det (I+(z-1)\Gamma\Gamma^\dagger) is the generating function of a dterminnatal random point field on (0, \infty ). The invrse scattering transform for the Zhakarov--Shabat system involves an Gelfand--Levitan integral equation such that the daigonal of te solution gives the derivative of th log generating function. Some dtererminatal print fields in random matrix theory satisfy similar results.

KW - Determinantal point processes

KW - Random matrices

KW - Inverse scattering

U2 - 10.1016/j.jmaa.2009.01.070

DO - 10.1016/j.jmaa.2009.01.070

M3 - Journal article

VL - 355

SP - 311

EP - 334

JO - Journal of Mathematical Analysis and Applications

JF - Journal of Mathematical Analysis and Applications

SN - 0022-247X

IS - 1

ER -