Quasi-Herglotz functions and convex optimization

Research output: Contribution to journalArticle

Abstract

We introduce the set of quasi-Herglotz functions and demonstrate that it has properties useful in the modelling of non-passive systems. The linear space of quasi-Herglotz functions constitutes a natural extension of the convex cone of Herglotz functions. It consists of differences of Herglotz functions and we show that several of the important properties and modelling perspectives are inherited by the new set of quasi-Herglotz functions. In particular, this applies to their integral representations, the associated integral identities or sum rules (with adequate additional assumptions), their boundary values on the real axis and the associated approximation theory. Numerical examples are included to demonstrate the modelling of a non-passive gain medium formulated as a convex optimization problem, where the generating measure is modelled by using a finite expansion of B-splines and point masses.

Details

Authors
  • Y. Ivanenko
  • M. Nedic
  • M. Gustafsson
  • B. L.G. Jonsson
  • A. Luger
  • S. Nordebo
Organisations
External organisations
  • Linnaeus University
  • Stockholm University
  • KTH Royal Institute of Technology
Research areas and keywords

Subject classification (UKÄ) – MANDATORY

  • Mathematical Analysis
  • Control Engineering

Keywords

  • Approximation, Convex optimization, Non-passive systems, Quasi-Herglotz functions, Sum rules
Original languageEnglish
Article number191541
JournalRoyal Society Open Science
Volume7
Issue number1
Publication statusPublished - 2020 Jan 15
Publication categoryResearch
Peer-reviewedYes