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Main Authors: Sazdanovic, Radmila, Scofield, Daniel
Format: Preprint
Published: 2024
Subjects:
Online Access:https://arxiv.org/abs/2411.15088
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author Sazdanovic, Radmila
Scofield, Daniel
author_facet Sazdanovic, Radmila
Scofield, Daniel
contents Recently, big data techniques such as machine learning and topological data analysis have made their way to theoretical mathematics. Motivated by the recent work with polynomial invariants for knots, we use manifold learning and topological data analysis techniques to explore the structure and properties of the point cloud consisting of the chromatic polynomials of graphs up to 10 crossings. Although chromatic, as well as the Tutte polynomial fail to distinguish graphs, according to a conjecture by Bollobas, Pebody and Riordan they approximate the space of random graphs. In this work we compare structures in the chromatic data revealed using filtered PCA and Ball Mapper techniques, and relate them with a range of numerical invariants for graphs.
format Preprint
id arxiv_https___arxiv_org_abs_2411_15088
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Structure of the chromatic polynomial
Sazdanovic, Radmila
Scofield, Daniel
Algebraic Topology
Recently, big data techniques such as machine learning and topological data analysis have made their way to theoretical mathematics. Motivated by the recent work with polynomial invariants for knots, we use manifold learning and topological data analysis techniques to explore the structure and properties of the point cloud consisting of the chromatic polynomials of graphs up to 10 crossings. Although chromatic, as well as the Tutte polynomial fail to distinguish graphs, according to a conjecture by Bollobas, Pebody and Riordan they approximate the space of random graphs. In this work we compare structures in the chromatic data revealed using filtered PCA and Ball Mapper techniques, and relate them with a range of numerical invariants for graphs.
title Structure of the chromatic polynomial
topic Algebraic Topology
url https://arxiv.org/abs/2411.15088