Quantitative analysis of optimal Sobolev-Lorentz embeddings with $\alpha$-homogeneous weights
Petr Gurka, Jan Lang, Zden\v{e}k Mihula

TL;DR
This paper provides a precise quantitative analysis of the non-compactness of optimal weighted Sobolev-Lorentz embeddings with homogeneous weights, revealing their non-uniform structure and calculating key measures of non-compactness.
Contribution
It introduces a new approach to quantify non-compactness in Sobolev-Lorentz embeddings, including exact values of measures like the measure of non-compactness and s-numbers.
Findings
Exact value of the optimal constant in embeddings.
Quantitative structure of non-compactness is characterized.
Embedding is shown not to be strictly singular.
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.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsFatigue and fracture mechanics · Nonlinear Partial Differential Equations · Numerical methods in engineering
