Norm Estimates of an Integral Operator in Topological Measure Spaces

Alternative criteria for the boundedness and compactness of a Hardy-type integral operator acting in weighted Lebesgue spaces are obtained. The criteria are formulated in terms of sequences depending on the weight functions and the measures of the spaces. Conditions are found under which the ideals of compact operators coincide with the ideals generated by the sequences of s-numbers of the operator under consideration. Moreover, estimates of the operator norms in these ideals are obtained via integral expressions depending on the original weight functions.

Authors

Institutions

Publication Details

Journal
Siberian Mathematical Journal
Published
2026-03-01
DOI
https://doi.org/10.1134/s0037446626020072
Primary Topic
Approximation Theory and Sequence Spaces
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Norm Estimates of an Integral Operator in Topological Measure Spaces

K. T. Mynbaev, E. N. Lomakina
Siberian Mathematical Journal
Approximation Theory and Sequence Spaces
article

Norm Estimates of an Integral Operator in Topological Measure Spaces

K. T. Mynbaev, E. N. Lomakina
article en

Abstract

Alternative criteria for the boundedness and compactness of a Hardy-type integral operator acting in weighted Lebesgue spaces are obtained. The criteria are formulated in terms of sequences depending on the weight functions and the measures of the spaces. Conditions are found under which the ideals of compact operators coincide with the ideals generated by the sequences of s-numbers of the operator under consideration. Moreover, estimates of the operator norms in these ideals are obtained via integral expressions depending on the original weight functions.

Siberian Mathematical JournalVol. 67(2)
Kazakh-British Technical University (KZ), Institute of Materials Science of the Khabarovsk Scientific Center (RU), Far Eastern State Transport University (RU), Far Eastern Branch of the Russian Academy of Sciences (RU)
Openalex Percentile: Top 7%
Approximation Theory and Sequence Spaces
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.