Kondratiev spaces of fractional smoothness via refined localization spaces

In this paper, we introduce Kondratiev spaces of fractional smoothness based on their close relation to refined localization spaces. Moreover, we investigate relations to other approaches leading to extensions of the scale of Kondratiev spaces with integer order of smoothness, based on complex interpolation, and give further results for complex interpolation of those function spaces. The results are first established on complements of arbitrary closed Lebesgue null sets and then transferred to domains of polyhedral type. Finally, as an application, we will study Sobolev-type embeddings.

Authors

Institutions

Publication Details

Journal
Zeitschrift für Analysis und ihre Anwendungen
Published
2026-11-09
DOI
https://doi.org/10.4171/zaa/1845
Citations
2
Primary Topic
Advanced Harmonic Analysis Research
Type
article
Field-Weighted Citation Impact
0.00

Funders

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

Kondratiev spaces of fractional smoothness via refined localization spaces

Markus Hansen, Cornelia Schneider
2 citations
Zeitschrift für Analysis und ihre Anwendungen
Advanced Harmonic Analysis Research
article

Kondratiev spaces of fractional smoothness via refined localization spaces

Markus Hansen, Cornelia Schneider
article en
2 citations

Abstract

In this paper, we introduce Kondratiev spaces of fractional smoothness based on their close relation to refined localization spaces. Moreover, we investigate relations to other approaches leading to extensions of the scale of Kondratiev spaces with integer order of smoothness, based on complex interpolation, and give further results for complex interpolation of those function spaces. The results are first established on complements of arbitrary closed Lebesgue null sets and then transferred to domains of polyhedral type. Finally, as an application, we will study Sobolev-type embeddings.

Zeitschrift für Analysis und ihre Anwendungen
Philipps University of Marburg (DE), Friedrich-Alexander-Universität Erlangen-Nürnberg (DE)
FP7 Ideas: European Research Council
Advanced Harmonic Analysis Research
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.

Laika access coming soon