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arxiv: 1808.03332 · v1 · pith:QXUHMVW6new · submitted 2018-08-09 · 🧮 math.AP · math.SP

A one point non-concentration estimate for Laplace eigenfunctions on polygons

classification 🧮 math.AP math.SP
keywords eigenfunctionsboundarypointestimateauthorcannotchr-simpchr-tri
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In this paper we consider eigenfunctions of the Laplacian on a planar domain with polygonal boundary with Dirichlet, Neumann, or mixed boundary conditions. The main result is a quantitative estimate on the $L^2$ mass of eigenfunctions near a point in terms of the distance to the nearest non-adjacent boundary face. In particular, eigenfunctions cannot concentrate completely at any one single point. The technique of proof is to use the commutator ideas from the recent work of the author \cite{Chr-tri,Chr-simp} on triangles and simplices.

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