4.3 Article

Isometric Hamming embeddings of weighted graphs

期刊

DISCRETE APPLIED MATHEMATICS
卷 332, 期 -, 页码 119-128

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ELSEVIER
DOI: 10.1016/j.dam.2023.02.005

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Isometric embeddings; Graph embeddings; Metric spaces; Weighted graphs; Hamming graphs; Graph factorization

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A mapping alpha: V(G) -> V(H) from the vertex set of graph G to graph H is an isometric embedding if the shortest path distance between any two vertices in G equals the distance between their images in H. We partition every Hamming embedding of G into a canonical partition using the Cartesian product decomposition of G called its canonical isometric representation, and the parts of the canonical partition provide Hamming embeddings for each factor of G's canonical isometric representation. This implies that G permits a Hamming embedding if and only if each factor of its canonical isometric representation is Hamming embeddable.
A mapping alpha : V(G) -> V(H) from the vertex set of one graph G to another graph H is an isometric embedding if the shortest path distance between any two vertices in G equals the distance between their images in H. Here, we consider isometric embeddings of a weighted graph G into unweighted Hamming graphs, called Hamming embeddings, when G satisfies the property that every edge is a shortest path between its endpoints. Using a Cartesian product decomposition of G called its canonical isometric representation, we show that every Hamming embedding of G may be partitioned into a canonical partition, whose parts provide Hamming embeddings for each factor of the canonical isometric representation of G. This implies that G permits a Hamming embedding if and only if each factor of its canonical isometric representation is Hamming embeddable. This result extends prior work on unweighted graphs that showed that an unweighted graph permits a Hamming embedding if and only if each factor is a complete graph. When a graph G has nontrivial isometric representation, determining whether G has a Hamming embedding can be simplified to checking embeddability of two or more smaller graphs.(c) 2023 The Author(s). Published by Elsevier B.V. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).

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