2000
DOI: 10.1002/1522-2616(200010)218:1<61::aid-mana61>3.0.co;2-d
|View full text |Cite
|
Sign up to set email alerts
|

On Matrix-Valued Herglotz Functions

Abstract: We provide a comprehensive analysis of matrix–valued Herglotz functions and illustrate their applications in the spectral theory of self–adjoint Hamiltonian systems including matrix–valued Schrödinger and Dirac–type operators. Special emphasis is devoted to appropriate matrix–valued extensions of the well–known Aronszajn–Donoghue theory concerning support properties of measures in their Nevanlinna–Riesz–Herglotz representation. In particular, we study a class of linear fractional transformations MA(z) of a giv… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1

Citation Types

1
302
0

Year Published

2002
2002
2018
2018

Publication Types

Select...
8
1

Relationship

3
6

Authors

Journals

citations
Cited by 228 publications
(305 citation statements)
references
References 126 publications
1
302
0
Order By: Relevance
“…This is a standard result for matrix-valued Nevanlinna functions (see e.g. [32]). For the convenience of the reader we provide a proof which also gives an effective control on the boundedness of the support of this matrix-valued measure.…”
Section: Note That In Particular S Commutes With Taking the Adjoint mentioning
confidence: 69%
“…This is a standard result for matrix-valued Nevanlinna functions (see e.g. [32]). For the convenience of the reader we provide a proof which also gives an effective control on the boundedness of the support of this matrix-valued measure.…”
Section: Note That In Particular S Commutes With Taking the Adjoint mentioning
confidence: 69%
“…( [4], [41], [54], [72], [73] It should be stressed that Theorems A.2 and A.3 record only the tip of an iceberg of results in this area. A substantial number of additional references relevant in this context can be found in [41].…”
Section: )mentioning
confidence: 99%
“…This function is sometimes called by Dirichlet-to-Neumann map, since it connects Dirichlet and Neumann data for solutions of the eigenfunction equation. It is a matrix Nevanlinna function [25] and is closely related to the multichannel scattering [26].…”
Section: Introductionmentioning
confidence: 99%