Optimal limiting embeddings for $\Delta$-reduced Sobolev spaces in $L^1$
Luigi Fontana, Carlo Morpurgo

TL;DR
This paper establishes precise embedding inequalities for reduced Sobolev spaces associated with Dirichlet problems with $L^1$ data, identifying optimal target spaces and their limiting behavior in dimension 2.
Contribution
It provides sharp embedding inequalities and determines the optimal target spaces for reduced Sobolev spaces related to $L^1$ data Dirichlet problems, including limiting cases in dimension 2.
Findings
Sharp embedding inequalities for reduced Sobolev spaces.
Identification of optimal target spaces for embeddings.
Limiting cases in dimension 2 related to Hansson-Brezis-Wainger spaces.
Abstract
We prove sharp embedding inequalities for certain reduced Sobolev spaces that arise naturally in the context of Dirichlet problems with data. We also find the optimal target spaces for such embeddings, which in dimension 2 could be considered as limiting cases of the Hansson-Brezis-Wainger spaces, for the optimal embeddings of borderline Sobolev spaces .
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
TopicsNonlinear Partial Differential Equations · Advanced Mathematical Modeling in Engineering · Numerical methods in engineering
