Pick interpolation on the polydisc: small families of sufficient kernels

Abstract

We give a solution to Pick's interpolation problem on the unit polydisc in Cn, n≥ 2, by characterizing all interpolation data that admit a D-valued interpolant, in terms of a family of positive-definite kernels parametrized by a class of polynomials. This uses a duality approach that has been associated with Pick interpolation, together with some approximation theory. Furthermore, we use duality methods to understand the set of points on the n-torus at which the boundary values of a given solution to an extremal interpolation problem are not unimodular.

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