In complex analysis, given initial data consisting of
Contents
subject to the constraint
Georg Pick and Rolf Nevanlinna solved the problem independently in 1916 and 1919 respectively, showing that an interpolating function exists if and only if a matrix defined in terms of the initial and target data is positive semi-definite.
Background
The Nevanlinna-Pick theorem represents an
Setting
that is the Pick matrix is positive semidefinite.
Combined with the Schwarz lemma, this leads to the observation that for
The Nevanlinna-Pick Theorem
The Nevanlinna-Pick theorem states the following. Given
is positive semi-definite. Furthermore, the function
Generalisation
The generalization of the Nevanlinna-Pick theorem became an area of active research in operator theory following the work of Donald Sarason on the Sarason interpolation theorem. Sarason gave a new proof of the Nevanlinna-Pick theorem using Hilbert space methods in terms of operator contractions. Other approaches were developed in the work of L. de Branges, and B. Sz.-Nagy and C. Foias.
It can be shown that the Hardy space H 2 is a reproducing kernel Hilbert space, and that its reproducing kernel (known as the Szegő kernel) is
Because of this, the Pick matrix can be rewritten as
This description of the solution has motivated various attempts to generalise Nevanlinna and Pick's result.
The Nevanlinna–Pick problem can be generalised to that of finding a holomorphic function
M. B. Abrahamse showed that if the boundary of R consists of finitely many analytic curves (say n + 1), then an interpolating function f exists if and only if
is a positive semi-definite matrix, for all λ in the n-torus. Here, the Kλs are the reproducing kernels corresponding to a particular set of reproducing kernel Hilbert spaces, which are related to the set R. It can also be shown that f is unique if and only if one of the Pick matrices has zero determinant.