Quantitative Analysis of Optimal Sobolev-Lorentz Embeddings with $$\alpha $$-Homogeneous Weights

Abstract Optimal weighted Sobolev-Lorentz embeddings with homogeneous weights in open convex cones are established, with the exact value of the optimal constant. These embeddings are non-compact, and this paper investigates the structure of their non-compactness quantitatively. Opposite to the previous results in this direction, the non-compactness in this case does not occur uniformly over all sub-domains of the underlying domain, and the problem is not translation invariant, and so these properties cannot be exploited here. Nevertheless, by developing a new approach based on a delicate interplay between the size of suitable extremal functions and the size of their supports, the exact values of the (ball) measure of non-compactness and of all injective strict s -numbers (in particular, of the Bernstein numbers) are obtained. Moreover, it is also shown that the embedding is not strictly singular.

Authors

Institutions

Publication Details

Journal
Journal of Geometric Analysis
Published
2025-03-28
DOI
https://doi.org/10.1007/s12220-025-01946-0
Citations
2
Primary Topic
Nonlinear Partial Differential Equations
Type
article
Field-Weighted Citation Impact
7.45

Funders

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

Quantitative Analysis of Optimal Sobolev-Lorentz Embeddings with $$\alpha $$-Homogeneous Weights

Zdeněk Mihula, Ján Lang, Petr Gurka
2 citations
Journal of Geometric Analysis
Nonlinear Partial Differential Equations
7.45
article

Quantitative Analysis of Optimal Sobolev-Lorentz Embeddings with $$\alpha $$-Homogeneous Weights

Zdeněk Mihula, Ján Lang, Petr Gurka
article en
2 citations

Abstract

Abstract Optimal weighted Sobolev-Lorentz embeddings with homogeneous weights in open convex cones are established, with the exact value of the optimal constant. These embeddings are non-compact, and this paper investigates the structure of their non-compactness quantitatively. Opposite to the previous results in this direction, the non-compactness in this case does not occur uniformly over all sub-domains of the underlying domain, and the problem is not translation invariant, and so these properties cannot be exploited here. Nevertheless, by developing a new approach based on a delicate interplay between the size of suitable extremal functions and the size of their supports, the exact values of the (ball) measure of non-compactness and of all injective strict s -numbers (in particular, of the Bernstein numbers) are obtained. Moreover, it is also shown that the embedding is not strictly singular.

Journal of Geometric AnalysisVol. 35(5)
Czech University of Life Sciences Prague (CZ), Charles University (CZ), College of Polytechnics Jihlava (CZ), Czech Technical University in Prague (CZ), The Ohio State University (US)
Ministerstvo Školství, Mládeže a Tělovýchovy, Grantová Agentura České Republiky
Openalex Percentile: Top 4%
Nonlinear Partial Differential Equations
7.45
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.