Minimum Vector Rank and Complement Critical Graphs
Xiaowei Li, Michael Nathanson, and Rachel Phillips

TL;DR
This paper explores the concept of minimum vector rank in graphs, defining critical and complement critical graphs, establishing conditions for certain classes, and linking these to the Graph Complement Conjecture.
Contribution
It introduces the notion of complement critical graphs, provides conditions for their identification, and connects these concepts to the open Graph Complement Conjecture.
Findings
Characterization of complement critical graphs
Conditions for minimum vector rank in specific graph classes
Support for the Graph Complement Conjecture
Abstract
Given a graph G, a real orthogonal representation of G is a function from its set of vertices to R^d such that two vertices are mapped to orthogonal vectors if and only if they are not neighbors. The minimum vector rank of a graph is the smallest dimension d for which such a representation exists. This quantity is closely related to the minimum semidefinite rank of G, which has been widely studied. Considering the minimum vector rank as an analogue of the chromatic number, this work defines critical graphs as those for which the removal of any vertex decreases the minimum vector rank; and complement critical graphs as those for which the removal of any vertex decreases the minimum vector rank of either the graph or its complement. It establishes necessary and sufficient conditions for certain classes of graphs to be complement critical, in the process calculating their minimum vector…
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Taxonomy
TopicsGraph theory and applications · Advanced Graph Theory Research · Limits and Structures in Graph Theory
