Nevanlinna–Pick interpolation

In complex analysis, given initial data consisting of n {\displaystyle n} points λ 1 , , λ n {\displaystyle \lambda _{1},\ldots ,\lambda _{n}} in the complex unit disc D {\displaystyle \mathbb {D} } and target data consisting of n {\displaystyle n} points z 1 , , z n {\displaystyle z_{1},\ldots ,z_{n}} in D {\displaystyle \mathbb {D} } , the Nevanlinna–Pick interpolation problem is to find a holomorphic function φ {\displaystyle \varphi } that interpolates the data, that is for all i { 1 , . . . , n } {\displaystyle i\in \{1,...,n\}} ,

φ ( λ i ) = z i {\displaystyle \varphi (\lambda _{i})=z_{i}} ,

subject to the constraint | φ ( λ ) | 1 {\displaystyle \left\vert \varphi (\lambda )\right\vert \leq 1} for all λ D {\displaystyle \lambda \in \mathbb {D} } .

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 n {\displaystyle n} -point generalization of the Schwarz lemma. The invariant form of the Schwarz lemma states that for a holomorphic function f : D D {\displaystyle f:\mathbb {D} \to \mathbb {D} } , for all λ 1 , λ 2 D {\displaystyle \lambda _{1},\lambda _{2}\in \mathbb {D} } ,

| f ( λ 1 ) f ( λ 2 ) 1 f ( λ 2 ) ¯ f ( λ 1 ) | | λ 1 λ 2 1 λ 2 ¯ λ 1 | . {\displaystyle \left|{\frac {f(\lambda _{1})-f(\lambda _{2})}{1-{\overline {f(\lambda _{2})}}f(\lambda _{1})}}\right|\leq \left|{\frac {\lambda _{1}-\lambda _{2}}{1-{\overline {\lambda _{2}}}\lambda _{1}}}\right|.}

Setting f ( λ i ) = z i {\displaystyle f(\lambda _{i})=z_{i}} , this inequality is equivalent to the statement that the matrix given by

[ 1 | z 1 | 2 1 | λ 1 | 2 1 z 1 ¯ z 2 1 λ 1 ¯ λ 2 1 z 2 ¯ z 1 1 λ 2 ¯ λ 1 1 | z 2 | 2 1 | λ 2 | 2 ] 0 , {\displaystyle {\begin{bmatrix}{\frac {1-|z_{1}|^{2}}{1-|\lambda _{1}|^{2}}}&{\frac {1-{\overline {z_{1}}}z_{2}}{1-{\overline {\lambda _{1}}}\lambda _{2}}}\\[5pt]{\frac {1-{\overline {z_{2}}}z_{1}}{1-{\overline {\lambda _{2}}}\lambda _{1}}}&{\frac {1-|z_{2}|^{2}}{1-|\lambda _{2}|^{2}}}\end{bmatrix}}\geq 0,}

that is the Pick matrix is positive semidefinite.

Combined with the Schwarz lemma, this leads to the observation that for λ 1 , λ 2 , z 1 , z 2 D {\displaystyle \lambda _{1},\lambda _{2},z_{1},z_{2}\in \mathbb {D} } , there exists a holomorphic function φ : D D {\displaystyle \varphi :\mathbb {D} \to \mathbb {D} } such that φ ( λ 1 ) = z 1 {\displaystyle \varphi (\lambda _{1})=z_{1}} and φ ( λ 2 ) = z 2 {\displaystyle \varphi (\lambda _{2})=z_{2}} if and only if the Pick matrix

( 1 z j ¯ z i 1 λ j ¯ λ i ) i , j = 1 , 2 0. {\displaystyle \left({\frac {1-{\overline {z_{j}}}z_{i}}{1-{\overline {\lambda _{j}}}\lambda _{i}}}\right)_{i,j=1,2}\geq 0.}

The Nevanlinna–Pick theorem

The Nevanlinna–Pick theorem states the following. Given λ 1 , , λ n , z 1 , , z n D {\displaystyle \lambda _{1},\ldots ,\lambda _{n},z_{1},\ldots ,z_{n}\in \mathbb {D} } , there exists a holomorphic function φ : D D ¯ {\displaystyle \varphi :\mathbb {D} \to {\overline {\mathbb {D} }}} such that φ ( λ i ) = z i {\displaystyle \varphi (\lambda _{i})=z_{i}} if and only if the Pick matrix

( 1 z j ¯ z i 1 λ j ¯ λ i ) i , j = 1 n {\displaystyle \left({\frac {1-{\overline {z_{j}}}z_{i}}{1-{\overline {\lambda _{j}}}\lambda _{i}}}\right)_{i,j=1}^{n}}

is positive semi-definite. Furthermore, the function φ {\displaystyle \varphi } is unique if and only if the Pick matrix has zero determinant. In this case, φ {\displaystyle \varphi } is a Blaschke product, with degree equal to the rank of the Pick matrix (except in the trivial case where all the z i {\displaystyle z_{i}} 's are the same).

Generalization

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.[1] 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

K ( a , b ) = ( 1 b a ¯ ) 1 . {\displaystyle K(a,b)=\left(1-b{\bar {a}}\right)^{-1}.\,}

Because of this, the Pick matrix can be rewritten as

( ( 1 z i z j ¯ ) K ( λ j , λ i ) ) i , j = 1 N . {\displaystyle \left((1-z_{i}{\overline {z_{j}}})K(\lambda _{j},\lambda _{i})\right)_{i,j=1}^{N}.\,}

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 f : R D {\displaystyle f:R\to \mathbb {D} } that interpolates a given set of data, where R is now an arbitrary region of the complex plane.

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

( ( 1 z i z j ¯ ) K τ ( λ j , λ i ) ) i , j = 1 N {\displaystyle \left((1-z_{i}{\overline {z_{j}}})K_{\tau }(\lambda _{j},\lambda _{i})\right)_{i,j=1}^{N}\,}

is a positive semi-definite matrix, for all τ {\displaystyle \tau } in the n-torus. Here, the K τ {\displaystyle K_{\tau }} s 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.

Notes

  • Pick's original proof concerned functions with positive real part. Under a linear fractional Cayley transform, his result holds on maps from the disc to the disc.
  • The Pick-Nevanlinna problem for holomorphic maps from the bidisk D 2 {\displaystyle \mathbb {D} ^{2}} to the disk was solved by Jim Agler.

References

  1. ^ Sarason, Donald (1967). "Generalized Interpolation in H {\displaystyle H^{\infty }} ". Trans. Amer. Math. Soc. 127: 179–203. doi:10.1090/s0002-9947-1967-0208383-8.
  • Agler, Jim; John E. McCarthy (2002). Pick Interpolation and Hilbert Function Spaces. Graduate Studies in Mathematics. AMS. ISBN 0-8218-2898-3.
  • Abrahamse, M. B. (1979). "The Pick interpolation theorem for finitely connected domains". Michigan Math. J. 26 (2): 195–203. doi:10.1307/mmj/1029002212.
  • Tannenbaum, Allen (1980). "Feedback stabilization of linear dynamical plants with uncertainty in the gain factor". Int. J. Control. 32 (1): 1–16. doi:10.1080/00207178008922838.