Ahlfors-regularity for minimizers of a multiphase optimal design problem

We establish an Alhfors-regularity result for minimizers of a multiphase optimal design problem. It is a variant of the classical variational problem which involves a finite number of chambers $\mathcal{E}(i)$ of prescribed volume that partition a given domain $\Omega\subset\R^n$. The cost functional associated with a configuration $\left(\{\mathcal{E}(i)\}_i,u\right)$ is made up of the perimeter of the partition interfaces and a Dirichlet energy term, which is discontinuous across the interfaces. We prove that the union of the optimal interfaces is $(n-1)$-Alhfors-regular via a penalization method and decay estimates of the energy.

Publication Details

Journal
ESAIM Control Optimisation and Calculus of Variations
Published
2026-06-09
DOI
https://doi.org/10.1051/cocv/2026041
Primary Topic
Advanced Mathematical Modeling in Engineering
Type
article
Field-Weighted Citation Impact
0.00

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article

Ahlfors-regularity for minimizers of a multiphase optimal design problem

ESAIM Control Optimisation and Calculus of Variations
Advanced Mathematical Modeling in Engineering
article

Ahlfors-regularity for minimizers of a multiphase optimal design problem

article en

Abstract

We establish an Alhfors-regularity result for minimizers of a multiphase optimal design problem. It is a variant of the classical variational problem which involves a finite number of chambers $\mathcal{E}(i)$ of prescribed volume that partition a given domain $\Omega\subset\R^n$. The cost functional associated with a configuration $\left(\{\mathcal{E}(i)\}_i,u\right)$ is made up of the perimeter of the partition interfaces and a Dirichlet energy term, which is discontinuous across the interfaces. We prove that the union of the optimal interfaces is $(n-1)$-Alhfors-regular via a penalization method and decay estimates of the energy.

ESAIM Control Optimisation and Calculus of Variations
Università degli Studi della Campania Luigi Vanvitelli, Faculdade de Ciências e Tecnologia, Universidade Nova de Lisboa
Openalex Percentile: Top 97%
Advanced Mathematical Modeling in Engineering
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