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Linear Algebra and its Applications
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Linear Algebra and its Applications
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The Nevanlinna–Pick interpolation problems and power moment problems for matrix-valued functions III: The infinitely many data case

The Nevanlinna-Pick interpolation problems and power moment problems for matrix-valued functions. III: The infinitely many data case
Authors: Chen, Gong-Ning; Hu, Yong-Jian;

The Nevanlinna–Pick interpolation problems and power moment problems for matrix-valued functions III: The infinitely many data case

Abstract

The paper deals with the multiple Nevanlinna-Pick (NP) matrix interpolation problem with a denumerable set of nodes in the Nevanlinna class \(\mathcal{N}_p\) \((p \geq 1)\) of \( \mathbb{C}^{p \times p}\)-valued functions \(f(z)\) which are holomorphic in the open upper half plane \(\pi^+\) (NP\((\mathcal{N}_p)_\infty\) problem) and the full Hamburger matrix moment problem (HM\((\mathbb{R})_\infty\) problem). The close connection between an NP\((\mathcal{N}_p)_\infty\) problem and HM\((\mathbb{R})_\infty\) problem associated with the block Hankel vector of the former is studied. This connection allows to reduce the solution of the NP\((\mathcal{N}_p)_\infty\) problem to the study of a certain HM\((\mathbb{R})_\infty\) problem. The case of infinitely many nodes is handled by means of analysis of the limiting behaviour of approximating problems involving only finitely many nodes. The notion of the block Hankel vector of an NP\((\mathcal{N}_p)_\infty\) problem is first introduced and an integral and explicit correspondence between solutions to a solvable NP\((\mathcal{N}_p)_\infty\) problem and solutions to the associated HM\((\mathbb{R})_\infty\) problem with that block Hankel vector is established. Then a congruence relation between the infinite generalized block Loewner matrix \(L_\infty\) of NP\((\mathcal{N}_p)_\infty\) problem and the infinite block Hankel matrix \(H_\infty\) built on the block Hankel vector of the former problem is made, which is a generalization of the classical Loewner-Hankel matrix relation. This link allows to obtain a parametrization of the solutions to the multiple NP\((\mathcal{N}_p)_\infty\) problem in both nondegenerate and degenerate cases by a linear fractional transformation from the corresponding results of the HM\((\mathbb{R})_\infty\) problem. The transformation is based on the Schur algorithm involving matrix continued fractions as well as orthogonal polynomial matrices simultaneously.

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Keywords

linear fractional transformation, Schur algorithm, denumerable set of nodes, Moment problems and interpolation problems in the complex plane, nonnegatively extendable, orthogonal polynomial matrices, Hamburger moment problem, Loewner-Hankel matrix relation, Discrete Mathematics and Combinatorics, Hermitian, skew-Hermitian, and related matrices, Linear operator methods in interpolation, moment and extension problems, Nevanlinna-Pick interpolation, Numerical Analysis, Algebra and Number Theory, block Hankel vector, infinite generalized block Loewner matrix, Nevanlinna–Pick interpolation, Weyl matrix disk, matrix continued fractions, generalized Schur complement, Nevanlinna class, Generalized Schur complement, Geometry and Topology, Block Hankel vector, Nonnegatively extendable

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
6
Average
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Average
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