Linear systems and determinantal random point fields

Fuente: arXiv
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1. Verfasser: Blower, Gordon
Format: Preprint
Veröffentlicht: 2008
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author Blower, Gordon
author_facet Blower, Gordon
contents Tracy and Widom showed that fundamentally important kernels in random matrix theory arise from differential equations with rational coefficients. More generally, this paper considers symmetric Hamiltonian systems abd determines the properties of kernels that arise from them. The inverse spectral problem for self-adjoint Hankel operators gives a sufficient condition for a self-adjoint operator to be the Hankel operator on $L^2(0, \infty)$ from a linear system in continuous time; thus this paper expresses certain kernels as squares of Hankel operators. For a suitable linear system $(-A,B,C)$ with one dimensional input and output spaces, there exists a Hankel operator $Γ$ with kernel $ϕ_{(x)}(s+t)=Ce^{-(2x+s+t)A}B$ such that $\det (I+(z-1)ΓΓ^\dagger)$ is the generating function of a determinantal random point field.
format Preprint
id arxiv_https___arxiv_org_abs_0808_1276
institution arXiv
publishDate 2008
record_format arxiv
spellingShingle Linear systems and determinantal random point fields
Blower, Gordon
Functional Analysis
Probability
47B35
Tracy and Widom showed that fundamentally important kernels in random matrix theory arise from differential equations with rational coefficients. More generally, this paper considers symmetric Hamiltonian systems abd determines the properties of kernels that arise from them. The inverse spectral problem for self-adjoint Hankel operators gives a sufficient condition for a self-adjoint operator to be the Hankel operator on $L^2(0, \infty)$ from a linear system in continuous time; thus this paper expresses certain kernels as squares of Hankel operators. For a suitable linear system $(-A,B,C)$ with one dimensional input and output spaces, there exists a Hankel operator $Γ$ with kernel $ϕ_{(x)}(s+t)=Ce^{-(2x+s+t)A}B$ such that $\det (I+(z-1)ΓΓ^\dagger)$ is the generating function of a determinantal random point field.
title Linear systems and determinantal random point fields
topic Functional Analysis
Probability
47B35
url https://arxiv.org/abs/0808.1276