Eulerian magnitude homology: subgraph structure and random graphs

Fuente: arXiv
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Autores principales: Giusti, Chad, Menara, Giuliamaria
Formato: Preprint
Publicado: 2024
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author Giusti, Chad
Menara, Giuliamaria
author_facet Giusti, Chad
Menara, Giuliamaria
contents In this paper we explore the connection between the ranks of the magnitude homology groups of a graph and the structure of its subgraphs. To this end, we introduce variants of magnitude homology called eulerian magnitude homology and discriminant magnitude homology. Leveraging the combinatorics of the differential in magnitude homology, we illustrate a close relationship between the ranks of the eulerian magnitude homology groups on the first diagonal and counts of subgraphs which fall in specific classes. We leverage these tools to study limiting behavior of the eulerian magnitude homology groups for Erdos-Renyi random graphs and random geometric graphs, producing for both models a vanishing threshold for the eulerian magnitude homology groups on the first diagonal. This in turn provides a characterization of the generators for the corresponding magnitude homology groups. Finally, we develop an explicit asymptotic estimate the expected rank of eulerian magnitude homology along the first diagonal for these random graph models.
format Preprint
id arxiv_https___arxiv_org_abs_2403_09248
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Eulerian magnitude homology: subgraph structure and random graphs
Giusti, Chad
Menara, Giuliamaria
Combinatorics
Algebraic Topology
Probability
In this paper we explore the connection between the ranks of the magnitude homology groups of a graph and the structure of its subgraphs. To this end, we introduce variants of magnitude homology called eulerian magnitude homology and discriminant magnitude homology. Leveraging the combinatorics of the differential in magnitude homology, we illustrate a close relationship between the ranks of the eulerian magnitude homology groups on the first diagonal and counts of subgraphs which fall in specific classes. We leverage these tools to study limiting behavior of the eulerian magnitude homology groups for Erdos-Renyi random graphs and random geometric graphs, producing for both models a vanishing threshold for the eulerian magnitude homology groups on the first diagonal. This in turn provides a characterization of the generators for the corresponding magnitude homology groups. Finally, we develop an explicit asymptotic estimate the expected rank of eulerian magnitude homology along the first diagonal for these random graph models.
title Eulerian magnitude homology: subgraph structure and random graphs
topic Combinatorics
Algebraic Topology
Probability
url https://arxiv.org/abs/2403.09248