
TL;DR
This paper reveals a dual variational formulation for the Sobolev-Poincaré constant in the range 1<q<2, enabling new lower bound proofs and extending classical results related to torsional rigidity and eigenvalues.
Contribution
It introduces a convex minimization framework with a divergence constraint for the Sobolev-Poincaré constant, generalizing known cases for torsional rigidity and eigenvalues.
Findings
Dual variational formulation for 1<q<2.
Convex minimization problem with divergence constraint.
Extension of classical results to broader q-range.
Abstract
We consider the sharp Sobolev-Poincar\'e constant for the embedding of into . We show that such a constant exhibits an unexpected dual variational formulation, in the range . Namely, this can be written as a convex minimization problem, under a divergence--type constraint. This is particularly useful in order to prove lower bounds. The result generalizes what happens for the torsional rigidity (corresponding to ) and extends up to the case of the first eigenvalue of the Dirichlet-Laplacian (i.e. to ).
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.
