Isometric Hamming embeddings of weighted graphs.

Discrete Appl Math

Department of Biological Engineering, Massachusetts Institute of Technology, Cambridge, MA, United States of America.

Published: June 2023

A mapping from the vertex set of one graph to another graph is an if the shortest path distance between any two vertices in equals the distance between their images in . Here, we consider isometric embeddings of a weighted graph into unweighted Hamming graphs, called Hamming embeddings, when satisfies the property that every edge is a shortest path between its endpoints. Using a Cartesian product decomposition of called its , we show that every Hamming embedding of may be partitioned into a , whose parts provide Hamming embeddings for each factor of the canonical isometric representation of . This implies that 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 has nontrivial isometric representation, determining whether has a Hamming embedding can be simplified to checking embeddability of two or more smaller graphs.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC10653646PMC
http://dx.doi.org/10.1016/j.dam.2023.02.005DOI Listing

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