Non-strict singularity of optimal Sobolev embeddings
Jan Lang, Zden\v{e}k Mihula

TL;DR
This paper studies the non-strict singularity of optimal Sobolev embeddings in rearrangement-invariant spaces, showing they are not strictly singular in many cases by constructing specific spike-function sequences.
Contribution
It introduces a framework for proving non-strict singularity of optimal Sobolev embeddings using spike-function sequences, especially in weighted Lambda spaces.
Findings
Optimal Sobolev embeddings are not strictly singular in a large class of r.i. spaces.
Constructs spike-function sequences to demonstrate non-strict singularity.
Shows non-strict singularity for embeddings in weighted Lambda spaces, excluding the endpoint case.
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…
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