2018
DOI: 10.1007/978-3-319-59078-3_17
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Nodal Sets of Laplace Eigenfunctions: Estimates of the Hausdorff Measure in Dimensions Two and Three

Abstract: Let ∆M be the Laplace operator on a compact n-dimensional Riemannian manifold without boundary. We study the zero sets of its eigenfunctions u : ∆u + λu = 0. In dimension n = 2 we refine the Donnelly-Fefferman estimate by showing that H 1 ({u = 0}) ≤ Cλ 3/4−β , β ∈ (0, 1/4). The proof employs the Donnelli-Fefferman estimate and a combinatorial argument, which also gives a lower (non-sharp) bound in dimension n = 3: H 2 ({u = 0}) ≥ cλ α , α ∈ (0, 1/2). The positive constants c, C depend on the manifold, α and β… Show more

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Cited by 57 publications
(67 citation statements)
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“…Let us also mention that in dimension n = 2, one can improve 3/4 from Donnelly-Fefferman's bound by a tiny ε ( [57]):…”
Section: Yau's Conjecturementioning
confidence: 99%
See 1 more Smart Citation
“…Let us also mention that in dimension n = 2, one can improve 3/4 from Donnelly-Fefferman's bound by a tiny ε ( [57]):…”
Section: Yau's Conjecturementioning
confidence: 99%
“…Remark. The recent combinatorial argument [57] shows that there exists ε > 0 such that for any closed surface M the eigenfunctions ϕ λ on M satisfy…”
Section: Estimate Of the Length Of Nodal Lines In Terms Of The Doublimentioning
confidence: 99%
“…for every j ≥ 1. Yau's conjecture was proved by Donnelly and Fefferman in [DF88] for real analytic manifolds, and the lower bound was established by Logunov and Malinnikova [Log16a,Log16b,LM16] for the general case.…”
Section: Introduction 1background and Motivationsmentioning
confidence: 95%
“…For non-analytic manifolds the best-known upper estimate in dimension n = 2 was H 1 ({ϕ λ = 0}) ≤ Cλ 3/4 due to Donnelly and Fefferman ([6]), different proof for the same bound was given by Dong ([4]). Recently this bound was refined to Cλ 3/4−ε in [12]. In higher dimensions the estimate H n−1 ({ϕ λ = 0}) ≤ Cλ C √ λ by Hardt and Simon ( [9]) was the only known upper bound till now.…”
Section: Preliminariesmentioning
confidence: 99%