Shape Optimization and Spectral Theory 2017
DOI: 10.1515/9783110550887-005
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5 Spectral geometry of the Steklov problem

Abstract: The Steklov problem is an eigenvalue problem with the spectral parameter in the boundary conditions, which has various applications. Its spectrum coincides with that of the Dirichlet-to-Neumann operator. Over the past years, there has been a growing interest in the Steklov problem from the viewpoint of spectral geometry. While this problem shares some common properties with its more familiar Dirichlet and Neumann cousins, its eigenvalues and eigenfunctions have a number of distinctive geometric features, which… Show more

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Cited by 57 publications
(61 citation statements)
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References 111 publications
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“…The results hold for arbitrary rectangles in the plane upon scaling and possibly a rotation. In their recent survey, Girouard and Polterovich [11] outline similar results for the case of a square.…”
Section: Introductionmentioning
confidence: 72%
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“…The results hold for arbitrary rectangles in the plane upon scaling and possibly a rotation. In their recent survey, Girouard and Polterovich [11] outline similar results for the case of a square.…”
Section: Introductionmentioning
confidence: 72%
“…A proof that these eigenfunctions provide a basis for the set of all Steklov eigenfunctions for the case of a square is outlined in Section 3.1 of [11]. The argument provided there generalizes to the case of a rectangle in a straightforward manner.…”
Section: Harmonic Steklov Eigenproblems On a Rectanglementioning
confidence: 96%
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“…It is hoped that using the vast amount of literature on the Dirichlet-to-Neumann map, (see, e.g., [43][44][45][46][47][48][49]), new insights can be gained on what the decisive topological and geometrical factors are that lead to attractive or repulsive Casimir forces.…”
Section: Discussionmentioning
confidence: 99%
“…When the region Ω is a rectangle, the Steklov eigenfunctions are known explicitly see Auchmuty and Cho [6] or Girouard and Polterovich [14] where a completeness proof may be found. The paper [6] described the generalization of the mean value theorem to rectangles and to cases where Robin data on ∂Ω is known.…”
Section: Introductionmentioning
confidence: 99%