Homomorphisms into loop-threshold graphs
Jonathan Cutler, Nicholas Kass

TL;DR
This paper explores extremal problems involving homomorphisms into loop-threshold graphs, providing bounds and partial solutions for maximizing homomorphisms in various graph configurations.
Contribution
It surveys known results and advances understanding of extremal homomorphism problems for small loop-threshold image graphs, including bounds on the size of extremal components.
Findings
Maximization of homomorphisms achieved by lex graphs for certain cases.
Identified unresolved problem regarding the size of the lex component.
Established bounds for the size of the lex component in extremal graphs.
Abstract
Many problems in extremal graph theory correspond to questions involving homomorphisms into a fixed image graph. Recently, there has been interest in maximizing the number of homomorphisms from graphs with a fixed number of vertices and edges into small image graphs. For the image graph , the graph on two adjacent vertices, one of which is looped, each homomorphism from to corresponds to an independent set in . It follows from the Kruskal-Katona theorem that the number of homomorphisms to is maximized by the lex graph, whose edges form an initial segment of the lex order. A \emph{loop-threshold graph} is a graph built recursively from a single vertex, which may be looped or unlooped, by successively adding either a looped dominating vertex or an unlooped isolated vertex at each stage. Thus, the graph is a…
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