Upper bound on the second Laplacian eigenvalue on real projective space

In this paper, we prove an upper bound on the second nonzero Laplacian eigenvalue on n -dimensional real projective space. The sharp result for 2-dimensions was shown by Nadirashvili and Penskoi and later by Karpukhin when the metric degenerates to that of the disjoint union of a round projective space and a sphere. That conjecture is open in higher dimensions, but this paper proves it up to a constant factor that tends to 1 as the dimension tends to infinity. Also, we introduce a topological argument that deals with the orthogonality conditions in a single step proof.

Authors

Institutions

Publication Details

Journal
Journal of Spectral Theory
Published
2025-08-22
DOI
https://doi.org/10.4171/jst/572
Citations
1
Primary Topic
Spectral Theory in Mathematical Physics
Type
article
Field-Weighted Citation Impact
3.69
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Upper bound on the second Laplacian eigenvalue on real projective space

Hanna N. Kim
1 citations
Journal of Spectral Theory
Spectral Theory in Mathematical Physics
3.69
article

Upper bound on the second Laplacian eigenvalue on real projective space

Hanna N. Kim
article en
1 citations

Abstract

In this paper, we prove an upper bound on the second nonzero Laplacian eigenvalue on n -dimensional real projective space. The sharp result for 2-dimensions was shown by Nadirashvili and Penskoi and later by Karpukhin when the metric degenerates to that of the disjoint union of a round projective space and a sphere. That conjecture is open in higher dimensions, but this paper proves it up to a constant factor that tends to 1 as the dimension tends to infinity. Also, we introduce a topological argument that deals with the orthogonality conditions in a single step proof.

Journal of Spectral TheoryVol. 15(3)
University of North Carolina at Chapel Hill (US)
Openalex Percentile: Top 8%
Spectral Theory in Mathematical Physics
3.69
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.