1987
DOI: 10.24033/asens.1533
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Spectre du laplacien et écrasement d'anses

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Cited by 43 publications
(41 citation statements)
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“…For convenience we assume that f (ε) = 1. If we denote by ν(A ε ) the first eigenvalue of the mixed eigenvalue problem on the annulus A ε , with Dirichlet conditions on the outer boundary and Neumann conditions on the inner boundary, then it is well known that ν(A ε ) converges to λ * as ε → 0 (see [1]). Thus, using the min-max, we will have for sufficiently small ε,…”
Section: 2mentioning
confidence: 99%
“…For convenience we assume that f (ε) = 1. If we denote by ν(A ε ) the first eigenvalue of the mixed eigenvalue problem on the annulus A ε , with Dirichlet conditions on the outer boundary and Neumann conditions on the inner boundary, then it is well known that ν(A ε ) converges to λ * as ε → 0 (see [1]). Thus, using the min-max, we will have for sufficiently small ε,…”
Section: 2mentioning
confidence: 99%
“…Let us denote by m(M, g, λ i ) the multiplicity of the eigenvalue λ i (M, g), i.e. how many times the value of λ i (M, g) appears in the sequence (1). Let us consider a functional…”
Section: Introductionmentioning
confidence: 99%
“…In general, a thin domain problem consists in a partial differential equation .E " / defined in a domain " of dimension n, which has k dimensions of negligible size with respect to the other n k dimensions. The aim is then to obtain an approximation of the problem by an equation .E/ defined in a domain of dimension n k. It seems that the first modern rigorous studies of such approximations mostly date back to the late 80's: [15], [1], [2], [13], [23], … There exists an enormous quantity of papers dealing with thin domain problems of many different types. We refer to [20] for a presentation of the subject and some references.…”
Section: The Thin Domains Techniquesmentioning
confidence: 99%