Vector Coloring the Categorical Product of Graphs
Chris Godsil, David E. Roberson, Brendan Rooney, Robert \v{S}\'amal,, Antonios Varvitsiotis

TL;DR
This paper proves that the vector chromatic number of the categorical product of two graphs equals the minimum of their individual vector chromatic numbers, extending the Hedetniemi Conjecture to vector colorings and exploring related semidefinite programming tools.
Contribution
It establishes the equality of the vector chromatic number for graph products, providing a vector coloring analog of Hedetniemi's Conjecture and characterizing when optimal colorings are composable.
Findings
Proves vector chromatic number of G×H equals min of those of G and H.
Provides necessary and sufficient conditions for combining optimal colorings.
Connects vector chromatic number to Lovász theta function and semidefinite programming.
Abstract
A vector -coloring of a graph is an assignment of real vectors to its vertices such that for all and whenever and are adjacent. The vector chromatic number of is the smallest real number for which a vector -coloring of exists. For a graph and a vector -coloring of a graph , the assignment is a vector -coloring of the categorical product . It follows that the vector chromatic number of is at most the minimum of the vector chromatic numbers of the factors. We prove that equality always holds, constituting a vector coloring analog of the famous Hedetniemi Conjecture from graph coloring. Furthermore, we prove a necessary and sufficient condition for when all of the optimal vector colorings of the product can be…
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