English

Threshold Hierarchy for Packet-Scale Boundary Cancellation of Dirichlet Eigenfunctions

Spectral Theory 2026-02-23 v5 Analysis of PDEs

Abstract

We identify geometry--dependent minimal packet scales required for cancellation of boundary correlations of high--frequency Dirichlet eigenfunctions on smooth strictly convex domains. The main result is a threshold hierarchy: for zero--mean boundary weights, the energy--weighted packet average of boundary correlation coefficients vanishes once the packet length exceeds a scale determined by the vanishing order of curvature moments of the weight. In particular, the threshold Nk/k12/dN_k/k^{1-2/d}\to\infty suffices when Ωw,dσ=0\int_{\partial\Omega} w,d\sigma=0, while a strictly weaker threshold applies when additionally ΩH,w,dσ=0\int_{\partial\Omega} H,w,d\sigma=0, reducing in dimension d=3d=3 to the minimal condition NkN_k\to\infty. The thresholds follow from the boundary local Weyl law. As a structural consequence of the Rellich identity alone, the single--mode share of boundary energy within any sublinear spectral packet is of order 1/Nk1/N_k. All estimates are independent of eigenvalue monotonicity and remain stable under eigenvalue crossings.

Cite

@article{arxiv.2601.11605,
  title  = {Threshold Hierarchy for Packet-Scale Boundary Cancellation of Dirichlet Eigenfunctions},
  author = {Anton Alexa},
  journal= {arXiv preprint arXiv:2601.11605},
  year   = {2026}
}

Comments

15 pages. Revised and expanded version with clarified threshold analysis and a quantitative uniform cancellation estimate derived from the boundary local Weyl law. The title has been updated to reflect the main result

R2 v1 2026-07-01T09:08:08.826Z