m-Isometric Composition Operators on Discrete Spaces

Abstract In this paper we study composition operators on discrete spaces $$ L^{2}(\mu ) $$ <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:mrow> <mml:msup> <mml:mi>L</mml:mi> <mml:mn>2</mml:mn> </mml:msup> <mml:mrow> <mml:mo>(</mml:mo> <mml:mi>μ</mml:mi> <mml:mo>)</mml:mo> </mml:mrow> </mml:mrow> </mml:math> . We establish the classification of underlying graphs of such operators. We obtain the characterization of m -isometric composition operators such that the underlying graph has one cycle. The paper contains also the solution of the Cauchy dual subnormality problem in the class of such composition operators.

Authors

Institutions

Publication Details

Journal
Complex Analysis and Operator Theory
Published
2024-09-23
DOI
https://doi.org/10.1007/s11785-024-01603-4
Citations
1
Primary Topic
Holomorphic and Operator Theory
Type
article
Field-Weighted Citation Impact
0.97

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

m-Isometric Composition Operators on Discrete Spaces

Michał Buchała
1 citations
Complex Analysis and Operator Theory
Holomorphic and Operator Theory
0.97
article

m-Isometric Composition Operators on Discrete Spaces

Michał Buchała
article en
1 citations

Abstract

Abstract In this paper we study composition operators on discrete spaces $$ L^{2}(\mu ) $$ <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:mrow> <mml:msup> <mml:mi>L</mml:mi> <mml:mn>2</mml:mn> </mml:msup> <mml:mrow> <mml:mo>(</mml:mo> <mml:mi>μ</mml:mi> <mml:mo>)</mml:mo> </mml:mrow> </mml:mrow> </mml:math> . We establish the classification of underlying graphs of such operators. We obtain the characterization of m -isometric composition operators such that the underlying graph has one cycle. The paper contains also the solution of the Cauchy dual subnormality problem in the class of such composition operators.

Complex Analysis and Operator TheoryVol. 18(7)
Jagiellonian University (PL)
Uniwersytet Jagielloński w Krakowie
Openalex Percentile: Top 25%
Holomorphic and Operator Theory
0.97
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.