Non-strict singularity of optimal Sobolev embeddings
Abstract
We investigate the operator-theoretic property of strict singularity for optimal Sobolev embeddings within the general framework of rearrangement-invariant function spaces (r.i. spaces). More specifically, we focus on studying the ``quality'' of non-compactness for optimal Sobolev embeddings , where is a given r.i. space and is the corresponding optimal target r.i. space (i.e., the smallest among all r.i. spaces). For the class of sub-limiting norms (i.e., the norms whose fundamental function satisfies as ), we construct suitable spike-function sequences that establish a general framework for proving non-strict singularity of optimal (and thus non-compact) sublimiting Sobolev embeddings. As an application, we show that optimal sublimiting Sobolev embeddings are not strictly singular in a rather large subclass of r.i. spaces, namely weighted Lambda spaces , . Except for the endpoint case , our spike-function construction enables us to construct a subspace of that is isomorphic to , which we then leverage to prove the non-strict singularity of the corresponding optimal Sobolev embedding.
Cite
@article{arxiv.2505.19981,
title = {Non-strict singularity of optimal Sobolev embeddings},
author = {Jan Lang and Zdeněk Mihula},
journal= {arXiv preprint arXiv:2505.19981},
year = {2026}
}
Comments
To appear in Journal of Functional Analysis. 30 pages