2020
DOI: 10.1051/cocv/2019034
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A minimisation problem in Lwith PDE and unilateral constraints

Abstract: We study the minimisation of a cost functional which measures the misfit on the boundary of a domain between a component of the solution to a certain parametric elliptic PDE system and a prediction of the values of this solution. We pose this problem as a PDE-constrained minimisation problem for a supremal cost functional in L ∞ , where except for the PDE constraint there is also a unilateral constraint on the parameter. We utilise approximation by PDE-constrained minimisation problems in L p as p → ∞ and the … Show more

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Cited by 4 publications
(4 citation statements)
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References 49 publications
(43 reference statements)
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“…Higher order problems and problems involving constraints present additional difficulties and have been studied even more sparsely, see e.g. [3,4,9,10,[20][21][22][23][24]26]. In fact, this paper is an extension of [23] to the second order case, and generalizes part of the results corresponding to the existence of minimizers and the satisfaction of PDEs from [25].…”
Section: And N Katzourakismentioning
confidence: 79%
“…Higher order problems and problems involving constraints present additional difficulties and have been studied even more sparsely, see e.g. [3,4,9,10,[20][21][22][23][24]26]. In fact, this paper is an extension of [23] to the second order case, and generalizes part of the results corresponding to the existence of minimizers and the satisfaction of PDEs from [25].…”
Section: And N Katzourakismentioning
confidence: 79%
“…In this paper, to overcome the difficulties described above, we follow the methodology of the relatively new field of calculus of variations in L ∞ (see e.g. [22,35] for a general introduction to the scalar-valued theory), and in particular the ideas from [37][38][39][40] involving higher order and vectorial problems, as well as problems involving PDE-constraints, which have only recently started being investigated. To this end, we follow the approach of solving the desired L ∞ variational problem by solving respective approximating L p variational problems for all p, and obtain appropriate compactness estimates which allow to pass to the limit as p → ∞.…”
Section: Introduction and Main Resultsmentioning
confidence: 99%
“…[22,35]). However, vectorial and higher L ∞ variational problems involving constraints, have only recently began being explored (see [38,39], but also the relevant earlier contributions [3,6,10]). For several interesting developments on L ∞ variational problems we refer the interested reader to [9,11,14,15,20,26,30,44,[47][48][49].…”
Section: Theorem 2 (Variational Equations In L Pmentioning
confidence: 99%
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