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Local inverse spectral problems for rational matrix functions

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Abstract

Given a regular rational matrix function A(z), we describe the set of vector-valued functions g(z) of the form g(z)=A(z)f(z) for some vector valued function f(z) which is analytic at the prescribed point λ. The description is in terms of a “canonical set of spectral data” for A at λ. We solve the inverse problem of characterizing when a given set of data is a canonical set of spectral data for some rational matrix function at each point in some subset of the complex plane. Our approach is to understand the connection between the rational nxn matrix function A and the shift invariant subspaces AH 2n and AH 2⊥n in L 2n . As an application we show how the linear fractional map which parametrizes the set of all solutions of a matricial Nevanlinna-Pick interpolation problem can be found as the solution of a local inverse spectral problem.

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The first author was partially supported by a grant from the National Science Foundation.

The second author was supported by a grant for the Niels Stichting at Amsterdam.

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Ball, J.A., Ran, A.C.M. Local inverse spectral problems for rational matrix functions. Integr equ oper theory 10, 349–415 (1987). https://doi.org/10.1007/BF01195035

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