Universal completability, least eigenvalue frameworks, and vector colorings
Chris Godsil, David E. Roberson, Brendan Rooney, Robert \v{S}\'amal,, Antonios Varvitsiotis

TL;DR
This paper explores universally completable graph embeddings derived from least eigenvalue eigenvectors, providing conditions for universality, algorithms for verification, and applications to graph coloring problems, including Kneser graphs.
Contribution
It establishes necessary and sufficient conditions for universal completability of least eigenvalue frameworks and connects this to uniquely vector colorable graphs, with new characterizations and algorithms.
Findings
Almost all Cayley graphs on ^n (n 5) have universally completable least eigenvalue frameworks.
Kneser and q-Kneser graphs are shown to be uniquely vector colorable.
Least eigenvalue frameworks of 1-walk-regular graphs always yield optimal vector colorings.
Abstract
An embedding of the vertices of a graph is called universally completable if the following holds: For any other embedding satisfying for and adjacent to , there exists an isometry mapping the 's to the 's for all . The notion of universal completability was introduced recently due to its relevance to the positive semidefinite matrix completion problem. In this work we focus on graph embeddings constructed using the eigenvectors of the least eigenvalue of the adjacency matrix of , which we call least eigenvalue frameworks. We identify two necessary and sufficient conditions for such frameworks to be universally completable. Our conditions also allow us to give algorithms for determining whether a least eigenvalue framework is universally completable.…
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