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  • 1
    Electronic Resource
    Electronic Resource
    Springer
    Integral equations and operator theory 20 (1994), S. 1-43 
    ISSN: 1420-8989
    Keywords: Primary 30E05 ; 47A57 ; Secondary 93B36
    Source: Springer Online Journal Archives 1860-2000
    Topics: Mathematics
    Notes: Abstract This paper introduces and presents the solution of the time-varying analogue of the two-sided Nudelman interpolation problem. As a first step the related Lagrange-Sylvester interpolation problem is solved.
    Type of Medium: Electronic Resource
    Library Location Call Number Volume/Issue/Year Availability
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  • 2
    Electronic Resource
    Electronic Resource
    Springer
    Integral equations and operator theory 20 (1994), S. 249-305 
    ISSN: 1420-8989
    Keywords: 47A56 ; 47A57 ; 15A54
    Source: Springer Online Journal Archives 1860-2000
    Topics: Mathematics
    Notes: Abstract In many problems the local zero-pole structure (i.e. locations of zeros and poles together with their orders) of a scalar rational functionw is a key piece of structure. Knowledge of the order of the pole or zero of the rational functionw at the point λ is equivalent to knowledge of the $$\mathcal{R}(\lambda )$$ -module $$w\mathcal{R}(\lambda )$$ (where $$\mathcal{R}(\lambda )$$ is the space of rational functions analytic at λ). For the more intricate case of a rationalp×m matrix functionW, we consider the structure of the module $$W\mathcal{R}^{m \times 1} (\lambda )$$ as the appropriate analogue of zero-pole structure (location of zeros and poles together with directional information), where $$\mathcal{R}^{m \times 1} (\lambda )$$ is the set of column vectors of heightm with entries equal to rational functions which are analytic at λ. Modules of the form $$W\mathcal{R}^{m \times 1} (\lambda )$$ in turn can be explicitly parametrized in terms of a collection of matrices (C λ,A λ,B λ,B λ,Γ λ) together with a certain row-reduced(p−m)×m matrix polynomialP(z) (which is independent of λ) which satisfy certain normalization and consistency conditions. We therefore define the collection (C λ,A λ,Z λ,B λ,Γ λ,P(z)) to be the local spectral data set of the rational matrix functionW at λ. We discuss the direct problem of how to compute the local spectral data explicitly from a realizationW(z)=D+C(z−A) −1 B forW and solve the inverse problem of classifying which collections λ→(C λ,A λ,Z λ,B λ,Γ λ,P(z)) satisfying the local consistency and normalization conditions arise as the local spectral data sets of some rational matrix functionW. Earlier work in the literature handles the case whereW is square with nonzero determinant.
    Type of Medium: Electronic Resource
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