Regularity and singularities of Optimal Convex shapes in the plane
Jimmy Lamboley (CEREMADE), Michel Pierre (IRMAR), Arian Novruzi

TL;DR
This paper investigates the regularity and singularities of optimal convex shapes in the plane for shape optimization problems, establishing conditions under which solutions are smooth or polygonal using first and second order optimality conditions.
Contribution
It provides new regularity results for optimal convex shapes, showing they are either smooth or polygonal depending on the convexity or concavity of the shape functional.
Findings
Optimal shapes are $W^{2,p}$-sets under convexity assumptions.
Optimal shapes are polygons under concavity assumptions.
Results apply to functionals involving area, energy, eigenvalues, and perimeter.
Abstract
We focus here on the analysis of the regularity or singularity of solutions to shape optimization problems among convex planar sets, namely: where is a set of 2-dimensional admissible shapes and is a shape functional. Our main goal is to obtain qualitative properties of these optimal shapes by using first and second order optimality conditions, including the infinite dimensional Lagrange multiplier due to the convexity constraint. We prove two types of results: i) under a suitable convexity property of the functional , we prove that is a -set, . This result applies, for instance, with when the shape functional can be written as where…
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Taxonomy
TopicsPoint processes and geometric inequalities · Optimization and Variational Analysis
