非恒定罗宾系数优化问题的定性分析

Idriss Mazari, Y. Privat
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引用次数: 2

摘要

随着最近对一些最优控制和形状优化问题的定性分析的兴趣,我们在本文中详细研究了PDE约束变分法中Robin边界条件的优化。我们的主要模型由形式为−∆uβ = f(x, uβ)的椭圆PDE组成,具有Robin边界条件∂νuβ+β(x)uβ = 0。优化变量是函数β,假设其取值在0到1之间,并且具有固定的积分。目前正在考虑两种标准:第一种是非能量标准。换句话说,我们的目标是优化形式为J (β) = Ω或∂Ω J (uβ)的函数。我们证明,根据函数j的单调性,优化器可能是bang-bang类型的(换句话说,优化器为∂Ω的某个可测量子集Γ编写1Γ),或者相反,它们可能只取0到1之间的严格值。这对一个相关的形状优化问题产生了影响,在这个问题中,人们试图找到在边界上应该放置诺伊曼(∂νu = 0)和常量罗宾条件(∂νu+u = 0)的位置,以便优化标准。第一种情况的证明依赖于与最优性条件结合使用的新的精细振荡技术。然后我们研究了遵从型函数的情况。对于这样的能量泛函,我们给出了一个深入的分析,甚至一些明确的表征最优β *。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Qualitative analysis of optimisation problems with respect to non-constant Robin coefficients
Following recent interest in the qualitative analysis of some optimal control and shape optimisation problems, we provide in this article a detailed study of the optimisation of Robin boundary conditions in PDE constrained calculus of variations. Our main model consists of an elliptic PDE of the form −∆uβ = f(x, uβ) endowed with the Robin boundary conditions ∂νuβ+β(x)uβ = 0. The optimisation variable is the function β, which is assumed to take values between 0 and 1 and to have a fixed integral. Two types of criteria are under consideration: the first one is non-energetic criteria. In other words, we aim at optimising functionals of the form J (β) = ́ Ω or ∂Ω j(uβ). We prove that, depending on the monotonicity of the function j, the optimisers may be of bang-bang type (in other words, the optimisers write 1Γ for some measurable subset Γ of ∂Ω) or, on the contrary, that they may only take values strictly between 0 and 1. This has consequence for a related shape optimisation problem, in which one tries to find where on the boundary Neumann (∂νu = 0 ) and constant Robin conditions (∂νu+u = 0) should be placed in order to optimise criteria. The proofs for this first case rely on new fine oscillatory techniques, used in combination with optimality conditions. We then investigate the case of compliance-type functionals. For such energetic functionals, we give an in-depth analysis and even some explicit characterisation of optimal β∗.
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