2018
DOI: 10.1215/00127094-2018-0031
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Comparable upper and lower bounds for boundary values of Neumann eigenfunctions and tight inclusion of eigenvalues

Abstract: For smooth bounded domains in R n , we prove upper and lower L 2 bounds on the boundary data of Neumann eigenfunctions, and prove quasiorthogonality of this boundary data in a spectral window. The bounds are tight in the sense that both are independent of eigenvalue; this is achieved by working with an appropriate norm for boundary functions, which includes a 'spectral weight', that is, a function of the boundary Laplacian. This spectral weight is chosen to cancel concentration at the boundary that can happen … Show more

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Cited by 12 publications
(17 citation statements)
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“…For example if the boundary of ∂Ω is of class C ∞ then both estimates hold with α = 2/3. See [3] for this result.…”
Section: The Range Of a In The Case Thatmentioning
confidence: 83%
See 2 more Smart Citations
“…For example if the boundary of ∂Ω is of class C ∞ then both estimates hold with α = 2/3. See [3] for this result.…”
Section: The Range Of a In The Case Thatmentioning
confidence: 83%
“…Let us suppose that Ω has a C ∞ boundary and let k = k β,ε for some ε > 0 and 0 < β < 1. By [3] we know that (23) is satisfied for α = 2/3. Thus by (26) and Theorem 9 we have…”
Section: Smooth Domainsmentioning
confidence: 98%
See 1 more Smart Citation
“…In particular, for respectively Dirichlet and Neumann eigenfunctions we have the sharp estimates h∂ ν u| ∂M L 2 (∂M ) ≤ C, u| ∂M L 2 (∂M ) ≤ Ch −1/3 . Moreover, in [BHT15] the authors show that for Neumann eigenfunctions (4) (1 + h 2 ∆ ∂M ) 1/2 + u| ∂M L 2 (∂M ) ≤ C. The authors also show that the power 1/2 in (4) is optimal in the sense that there are Neumann eigenfunctions such that replacing 1/2 by ρ < 1/2 may result in an L 2 norm that is not uniformly bounded.…”
Section: Introductionmentioning
confidence: 96%
“…[32, §X.9], [14, §2], §2. See also [13,5,34] for other approaches to pointwise bounds on eigenfunctions. In [15] Davies showed that hypercontractive estimates can be adapted to the case of quantum graphs, as we shall recall in Proposition 2.1, below.…”
Section: Introductionmentioning
confidence: 99%