(Injective) hom-complexity between graphs
Cesar A. Ipanaque Zapata, Josu\'e A. Aguirre Enciso, Wilman Francisco Cuba Ramos

TL;DR
This paper introduces the concepts of hom-complexity and injective hom-complexity as graph invariants to measure the complexity of graph homomorphisms, providing bounds, formulas, and connections to known graph parameters.
Contribution
It defines hom-complexity and injective hom-complexity, explores their properties, and establishes formulas and bounds relating these invariants to chromatic and clique numbers, linking them to classical graph parameters.
Findings
Hom-complexity equals eillog_{\u03bchi(H)}hi(G)eil when lique number equals chromatic number.
Hom-complexity (G;K_\u03bb)=eillog_{\u03bcl}(chi(G))eil.
Hom-complexity relates to covering numbers and recovers known formulas for bipartite dimension and -particity.
Abstract
We present the notion of hom-complexity, , for two graphs and , along with basic results for this numerical invariant. This invariant is a number that measures the \aspas{complexity} of the question: when is there a homomorphism ? More precisely, is the least positive integer such that there are different subgraphs of such that , and for each , there is a homomorphism . Likewise, we introduce the notion of injective hom-complexity, . The (injective) hom-complexity is a graph invariant. Additionally, these invariants can be used to show the nonexistence of homomorphisms. We explore the sub-additivity of (injective) hom-complexity and study products. We describe bounds for the hom-complexity in terms of chromatic number and clique number…
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Taxonomy
TopicsGraph Labeling and Dimension Problems · Advanced Graph Theory Research · Graph theory and applications
