Power concavity and Dirichlet heat flow
Kazuhiro Ishige, Paolo Salani, Asuka Takatsu

TL;DR
This paper investigates the preservation of power concavity under the Dirichlet heat flow in convex domains, establishing that log-concavity is uniquely preserved among all power concavities.
Contribution
It proves that log-concavity is the weakest power concavity preserved by the Dirichlet heat flow, completing the characterization of preserved concavities.
Findings
Log-concavity is the weakest preserved power concavity.
Negative power concavity initial data can lose all concavity immediately.
Log-concavity is the only power concavity preserved by the Dirichlet heat flow.
Abstract
We show that log-concavity is the weakest power concavity preserved by the Dirichlet heat flow in -dimensional convex domains, where (indeed, we prove that starting with a negative power concave initial datum may result in losing immediately any reminiscence of concavity). Jointly with what we already know, i.e. that log-concavity is the strongest power concavity preserved by the Dirichlet heat flow, we see that log-concavity is indeed the only power concavity preserved by the Dirichlet heat flow.
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 · Analytic and geometric function theory · Advanced Mathematical Modeling in Engineering
