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Main Authors: Chen, Wei-Chia, Tsui, Mao-Pei
Format: Preprint
Published: 2023
Subjects:
Online Access:https://arxiv.org/abs/2309.16156
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author Chen, Wei-Chia
Tsui, Mao-Pei
author_facet Chen, Wei-Chia
Tsui, Mao-Pei
contents Steinerberger proposed a notion of curvature on graphs involving the graph distance matrix (J. Graph Theory, 2023). We show that nonnegative curvature is almost preserved under three graph operations. We characterize the distance matrix and its null space after adding an edge between two graphs. Let $D$ be the graph distance matrix and $\mathbf{1}$ be the all-one vector. We provide a way to construct graphs so that the linear system $Dx = \mathbf{1}$ does not have a solution.
format Preprint
id arxiv_https___arxiv_org_abs_2309_16156
institution arXiv
publishDate 2023
record_format arxiv
spellingShingle On Steinerberger Curvature and Graph Distance Matrices
Chen, Wei-Chia
Tsui, Mao-Pei
Combinatorics
Differential Geometry
05C12, 05C50
Steinerberger proposed a notion of curvature on graphs involving the graph distance matrix (J. Graph Theory, 2023). We show that nonnegative curvature is almost preserved under three graph operations. We characterize the distance matrix and its null space after adding an edge between two graphs. Let $D$ be the graph distance matrix and $\mathbf{1}$ be the all-one vector. We provide a way to construct graphs so that the linear system $Dx = \mathbf{1}$ does not have a solution.
title On Steinerberger Curvature and Graph Distance Matrices
topic Combinatorics
Differential Geometry
05C12, 05C50
url https://arxiv.org/abs/2309.16156