Representing Graphs via Pattern Avoiding Words
Miles Jones, Sergey Kitaev, Artem Pyatkin, Jeffrey Remmel

TL;DR
This paper generalizes the concept of word-representable graphs by introducing u-representable graphs based on avoiding specific patterns in subwords, and studies their properties, especially focusing on 12-representable graphs and their classifications.
Contribution
It introduces u-representable graphs for any pattern u, proves all graphs are 1^k-representable for k≥3, and classifies 12-representable graphs including their relation to other graph classes.
Findings
All graphs are 1^k-representable for k≥3.
12-representable graphs are a subclass of comparability graphs.
12-representable graphs include co-interval and permutation graphs.
Abstract
The notion of a word-representable graph has been studied in a series of papers in the literature. A graph is word-representable if there exists a word over the alphabet such that letters and alternate in if and only if is an edge in . If , this is equivalent to saying that is word-representable if for all , if and only if the subword of consisting of all occurrences of or in has no consecutive occurrence of the pattern 11. In this paper, we introduce the study of -representable graphs for any word . A graph is -representable if and only if there is a labeled version of , , and a word such that for all , if and only if has no…
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Taxonomy
Topicssemigroups and automata theory · DNA and Biological Computing · Advanced Graph Theory Research
