Laplacian eigenvalues for large negative Robin parameters on domains with outward peaks

Abstract We study the asymptotic behavior of individual eigenvalues of the Laplacian in domains with outward peaks for large negative Robin parameters. A large class of cross-sections is allowed, and the resulting asymptotic expansions reflect both the sharpness of the peak and the geometric shape of its cross-section. The results are an extension of previous works dealing with peaks whose cross-sections are balls.

Authors

Institutions

Publication Details

Journal
Nonlinear Differential Equations and Applications NoDEA
Published
2025-09-23
DOI
https://doi.org/10.1007/s00030-025-01136-5
Primary Topic
Advanced Mathematical Modeling in Engineering
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Laplacian eigenvalues for large negative Robin parameters on domains with outward peaks

Firoj Sk, Konstantin Pankrashkin, Marco Vogel
Nonlinear Differential Equations and Applications NoDEA
Advanced Mathematical Modeling in Engineering
article

Laplacian eigenvalues for large negative Robin parameters on domains with outward peaks

Firoj Sk, Konstantin Pankrashkin, Marco Vogel
article en

Abstract

Abstract We study the asymptotic behavior of individual eigenvalues of the Laplacian in domains with outward peaks for large negative Robin parameters. A large class of cross-sections is allowed, and the resulting asymptotic expansions reflect both the sharpness of the peak and the geometric shape of its cross-section. The results are an extension of previous works dealing with peaks whose cross-sections are balls.

Nonlinear Differential Equations and Applications NoDEAVol. 32(6)
Carl von Ossietzky Universität Oldenburg (DE), TU Dortmund University (DE)
Alexander von Humboldt-Stiftung
Openalex Percentile: Top 73%
Advanced Mathematical Modeling in Engineering
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.