2014
DOI: 10.1137/130917272
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Multiphase Shape Optimization Problems

Abstract: This paper is devoted to the analysis of multiphase shape optimization problems, which can formally be written as min{g ((F 1 For a large class of such functionals, we analyze qualitative properties of the cells and the interaction between them. Each cell is itself a subsolution for a (single-phase) shape optimization problem, from which we deduce properties like finite perimeter, inner density, separation by open sets, absence of triple junction points, etc. As main examples we consider functionals involving… Show more

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Cited by 32 publications
(69 citation statements)
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References 23 publications
(44 reference statements)
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“…In fact, for the functions v n = v n − u ∞ , we have that 10) and v n → 0 uniformly on B R/2 . By Remark 2.3, we have that ∇ v n L ∞ (B R/4 ) → 0 and so, v n → u ∞ in H 1 (B R/4 ) and the same holds for u n .…”
Section: Optimal Sets For Functionals Depending On the First K Eigenvmentioning
confidence: 96%
“…In fact, for the functions v n = v n − u ∞ , we have that 10) and v n → 0 uniformly on B R/2 . By Remark 2.3, we have that ∇ v n L ∞ (B R/4 ) → 0 and so, v n → u ∞ in H 1 (B R/4 ) and the same holds for u n .…”
Section: Optimal Sets For Functionals Depending On the First K Eigenvmentioning
confidence: 96%
“…Existence of optimal partitions for (2.4) in the class of quasi-open sets was proved in [6]. Subsequently, several papers have investigated (2.4) and similar problems, focusing on the regularity of partitions, properties of optimal partitions, the asymptotic behavior of optimal partitions as k → ∞, and computational methods [8,2,3,22,21,23,34,7]. In particular, the relaxation of the eigenvalue partitioning problem proposed here is analogous to a relaxation of (2.4) proposed in [3].…”
Section: Introductionmentioning
confidence: 99%
“…The results from Chapter 4, concerning the energy subsolutions, are from the recent paper [29]. Our main technical results, which are essential in the study of the qualitative properties of families of disjoint subsolutions (which naturally appear in the study of multiphase shape optimization problems) are a density estimate and a three-phase monotonicity theorem in the spirit of the two-phase formula by Caffarelli, Jerison and Kënig.…”
Section: Theorem 2 (Concentration-compactness Principle For Capacitamentioning
confidence: 99%
“…In all the practical situations above, the shape of the object in study is determined by a functional depending on the solution of a given partial differential equation (shortly, PDE). In [29], we investigated this notion obtaining a density estimate, which we used to prove a regularity result for the optimal set for the second eigenvalue λ 2 in a box, and a three-phase monotonicity formula of Cafarelli-Jerison-Kënig type, which allowed us to exclude the presence of triple points in some optimal partition problems. The simplest state functions are provided by solutions of the equations − w = 1 and − u = λu, which usually represent the torsional rigidity and the oscillation modes of a given object.…”
Section: Prefacementioning
confidence: 99%