Saved in:
Bibliographic Details
Main Authors: Singh, Ashmita, Verma, Sheela
Format: Preprint
Published: 2025
Subjects:
Online Access:https://arxiv.org/abs/2512.21103
Tags: Add Tag
No Tags, Be the first to tag this record!
_version_ 1866911337411510272
author Singh, Ashmita
Verma, Sheela
author_facet Singh, Ashmita
Verma, Sheela
contents In this article, we study sharp bounds for the Neumann eigenvalues of the Laplace operator on graphs. We first obtain monotonicity results for the Neumann eigenvalues on trees. In particular, we show that increasing any number of boundary vertices while keeping interior vertices unchanged in a tree does not affect the Neumann eigenvalues. However, increasing an interior vertex to a tree reduces the value of corresponding Neumann eigenvalues. As a consequence of this result, we provide an upper bound for the second Neumann eigenvalue and a lower bound for the largest Neumann eigenvalue on trees. Then, we obtain a sharp upper bound for the second Neumann eigenvalue on paths in terms of its diameter, and as an application, we show that the second Neumann eigenvalue cannot be bounded below by a positive real number on the family of paths. We also prove that under a diameter constraint on trees, the largest Neumann eigenvalue cannot be bounded from above. Finally, we obtain a lower bound for the second Neumann eigenvalue on graphs.
format Preprint
id arxiv_https___arxiv_org_abs_2512_21103
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Sharp bounds and monotonicity results for Neumann eigenvalues
Singh, Ashmita
Verma, Sheela
Spectral Theory
In this article, we study sharp bounds for the Neumann eigenvalues of the Laplace operator on graphs. We first obtain monotonicity results for the Neumann eigenvalues on trees. In particular, we show that increasing any number of boundary vertices while keeping interior vertices unchanged in a tree does not affect the Neumann eigenvalues. However, increasing an interior vertex to a tree reduces the value of corresponding Neumann eigenvalues. As a consequence of this result, we provide an upper bound for the second Neumann eigenvalue and a lower bound for the largest Neumann eigenvalue on trees. Then, we obtain a sharp upper bound for the second Neumann eigenvalue on paths in terms of its diameter, and as an application, we show that the second Neumann eigenvalue cannot be bounded below by a positive real number on the family of paths. We also prove that under a diameter constraint on trees, the largest Neumann eigenvalue cannot be bounded from above. Finally, we obtain a lower bound for the second Neumann eigenvalue on graphs.
title Sharp bounds and monotonicity results for Neumann eigenvalues
topic Spectral Theory
url https://arxiv.org/abs/2512.21103