Applications of Reproducing Kernels in composition operators

Fuente: arXiv
Gespeichert in:
Bibliographische Detailangaben
Hauptverfasser: Kumari, Preeti, Muthukumar, P., Rasila, Antti
Format: Preprint
Veröffentlicht: 2026
Schlagworte:
Online-Zugang:
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
_version_ 1866915757825196032
author Kumari, Preeti
Muthukumar, P.
Rasila, Antti
author_facet Kumari, Preeti
Muthukumar, P.
Rasila, Antti
contents In this paper, we illustrate the effectiveness of reproducing kernel Hilbert space techniques in the study of composition operators. For weighted Hardy spaces on the unit disk, we characterize the composition operators whose adjoint is again a composition operator. Using reproducing kernel methods, we obtain a classification of bounded weighted composition operators acting between reproducing kernel Hilbert spaces. We also show that the reproducing kernel techniques yield simpler proofs of several known results, highlighting the role of reproducing kernels as a unifying structural tool in the analysis of composition operators.
format Preprint
id arxiv_https___arxiv_org_abs_2601_19596
institution arXiv
publishDate 2026
record_format arxiv
spellingShingle Applications of Reproducing Kernels in composition operators
Kumari, Preeti
Muthukumar, P.
Rasila, Antti
Functional Analysis
Complex Variables
Primary 47B33, 46E22, Secondary 30H10
In this paper, we illustrate the effectiveness of reproducing kernel Hilbert space techniques in the study of composition operators. For weighted Hardy spaces on the unit disk, we characterize the composition operators whose adjoint is again a composition operator. Using reproducing kernel methods, we obtain a classification of bounded weighted composition operators acting between reproducing kernel Hilbert spaces. We also show that the reproducing kernel techniques yield simpler proofs of several known results, highlighting the role of reproducing kernels as a unifying structural tool in the analysis of composition operators.
title Applications of Reproducing Kernels in composition operators
topic Functional Analysis
Complex Variables
Primary 47B33, 46E22, Secondary 30H10
url https://arxiv.org/abs/2601.19596