2006
DOI: 10.1007/s10231-006-0009-y
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Optimization of the first Steklov eigenvalue in domains with holes: a shape derivative approach

Abstract: Abstract. The best Sobloev trace constant is given by the first eigenvalue of a Steklov-like problem. We deal with minimizers of the Rayleigh quotientfor functions that vanish in a subset A ⊂ Ω, which we call the hole. We look for holes that minimize the best Sobolev trace constant among subsets of Ω with prescribed volume. First, we find a formula for the first variation of the first eigenvalue with respect to the hole. As a consequence of this formula, we prove that when Ω is a ball the symmetric hole (a cen… Show more

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Cited by 20 publications
(22 citation statements)
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“…The author also studies the problem of maximizing the first five Wentzell eigenvalues subject to a volume constraint, for which (3) is a special case. Shape optimization problems for Steklov eigenvalues with mixed boundary conditions have also been studied [BGR07].…”
Section: Related Workmentioning
confidence: 99%
“…The author also studies the problem of maximizing the first five Wentzell eigenvalues subject to a volume constraint, for which (3) is a special case. Shape optimization problems for Steklov eigenvalues with mixed boundary conditions have also been studied [BGR07].…”
Section: Related Workmentioning
confidence: 99%
“…Both the theories of boundary trace in Sobolev spaces and of Hardy inequalities have a large number of applications, especially to boundary value problems for partial differential equations and non linear analysis. They have been developed, via different methods and in different settings, by various authors ( see, for example, [4], [24], [25], [28] or the references on this topic in the monographs [3], [34], [36], [42]). In particular, the lack of extremals in (3) and in (6) has inspired many mathematicians to consider possible extra terms on the left hand side.…”
Section: Introductionmentioning
confidence: 99%
“…We will also need the following lemma, that has been proven in [10]. We only make a sketch of the proof for the reader's convenience.…”
Section: Dimension Reduction Proof Of Theorem 11mentioning
confidence: 99%