Characterization of Double-Arborescences and their Minimum-Word-Representants
Tithi Dwary, K. V. Krishna

TL;DR
This paper characterizes double-arborescences as $P_4$-free treelike comparability graphs, explores their structure via split-decomposition trees, and introduces an algorithmic approach to their minimum-word-representants, addressing an open problem in word-representable graphs.
Contribution
It provides a forbidden subgraph characterization of double-arborescences, relates them to $P_4$-free graphs, and offers an algorithmic method for their minimum-word-representants, advancing understanding in word-representable graph classes.
Findings
Double-arborescences are $P_4$-free treelike comparability graphs.
Split-decomposition trees characterize double-arborescences and arborescences.
An algorithmic procedure determines minimum-word-representants for double-arborescences.
Abstract
A double-arborescence is a treelike comparability graph with an all-adjacent vertex. In this paper, we first give a forbidden induced subgraph characterization of double-arborescences, where we prove that double-arborescences are precisely -free treelike comparability graphs. Then, we characterize a more general class consisting of -free distance-hereditary graphs using split-decomposition trees. Consequently, using split-decomposition trees, we characterize double-arborescences and one of its subclasses, viz., arborescences; a double-arborescence is an arborescence if its all-adjacent vertex is a source or a sink. In the context of word-representable graphs, it is an open problem to find the classes of word-representable graphs whose minimum-word-representants are of length , where is the number of vertices of the graph and is its clique number. Contributing…
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Taxonomy
TopicsNatural Language Processing Techniques · Speech and dialogue systems
