Expansion in Distance Matrices

Fuente: arXiv
Saved in:
Bibliographic Details
Main Authors: Byrne, John, Johnston, Jacob, Schildkraut, Carl, Tait, Michael
Format: Preprint
Published: 2025
Subjects:
Online Access:
Tags: Add Tag
No Tags, Be the first to tag this record!
_version_ 1866912274223988736
author Byrne, John
Johnston, Jacob
Schildkraut, Carl
Tait, Michael
author_facet Byrne, John
Johnston, Jacob
Schildkraut, Carl
Tait, Michael
contents The normalized distance Laplacian matrix $\mathcal{D}^{\mathcal{L}}(G)$ of a graph $G$ is a natural generalization of the normalized Laplacian matrix, arising from the matrix of pairwise distances between vertices rather than the adjacency matrix. Following the motif that this matrix behaves quite differently to the normalized Laplacian matrix, we show that both the spectral gap and Cheeger constant of $\mathcal{D}^{\mathcal{L}}(G)$ are bounded away from $0$ independently of the graph $G$. The spectral result holds more generally for finite metric spaces.
format Preprint
id arxiv_https___arxiv_org_abs_2503_10895
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Expansion in Distance Matrices
Byrne, John
Johnston, Jacob
Schildkraut, Carl
Tait, Michael
Combinatorics
The normalized distance Laplacian matrix $\mathcal{D}^{\mathcal{L}}(G)$ of a graph $G$ is a natural generalization of the normalized Laplacian matrix, arising from the matrix of pairwise distances between vertices rather than the adjacency matrix. Following the motif that this matrix behaves quite differently to the normalized Laplacian matrix, we show that both the spectral gap and Cheeger constant of $\mathcal{D}^{\mathcal{L}}(G)$ are bounded away from $0$ independently of the graph $G$. The spectral result holds more generally for finite metric spaces.
title Expansion in Distance Matrices
topic Combinatorics
url https://arxiv.org/abs/2503.10895