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Rational Cayley inner Herglotz-Agler functions: Positive-kernel decompositions and transfer-function realizations
Journal article   Open access   Peer reviewed

Rational Cayley inner Herglotz-Agler functions: Positive-kernel decompositions and transfer-function realizations

Joseph A. Ball and Dmitry S. Kaliuzhnyi-Verboyetskyi
Linear algebra and its applications, v 456
01 Sep 2014
url
https://doi.org/10.1016/j.laa.2013.10.022View
Published, Version of Record (VoR)Open Access (Publisher-Specific) Open

Abstract

Mathematics Mathematics, Applied Physical Sciences Science & Technology
The Bessmertnyi class consists of rational matrix-valued functions of d complex variables representable as the Schur complement of a block of a linear pencil A(z) = z(1)A(1) + ... + z(d)A(d) whose coefficients A(k) are positive semidefinite matrices. We show that it coincides with the subclass of rational functions in the Herglotz-Agler class over the right poly-halfplane which are homogeneous of degree one and which are Cayley inner. The latter means that such a function is holomorphic on the right poly-halfplane and takes skew-Hermitian matrix values on (iR)(d), or equivalently, is the double Cayley transform (over the variables and over the matrix values) of an inner function on the unit polydisk. Using Agler-Knese's characterization of rational inner Schur-Agler functions on the polydisk, extended now to the matrix-valued case, and applying appropriate Cayley transformations, we obtain characterizations of matrix-valued rational Cayley inner Herglotz-Agler functions both in the setting of the polydisk and of the right poly-halfplane, in terms of transfer-function realizations and in terms of positive-kernel decompositions. In particular, we extend Bessmertnyrs representation to rational Cayley inner Herglotz-Agler functions on the right poly-halfplane, where a linear pencil A(z) is now in the form A(z) = A(0) + z(1)A(1) + ... + z(d)A(d) with A(0) skew-Hermitian and the other coefficients Ak positive semidefinite matrices. (C) 2014 Elsevier Inc. All rights reserved.

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Mathematics
Mathematics, Applied
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