🤖 AI Summary
This work investigates how diameter constraints affect the boundedness of width parameters—specifically treedepth, pathwidth, treewidth, and cliquewidth—in graph classes excluding a fixed forbidden subgraph (F) and having diameter at most (d).
Method: Integrating structural graph theory, extremal graph theory, and parameterized complexity analysis, the study develops the first general criterion for when diameter restrictions transform otherwise unbounded width parameters into bounded ones.
Contribution/Results: It provides a complete characterization of treedepth boundedness for (F)-free graphs of diameter (leq d) for all (d geq 4), partial classifications for (d = 2,3), and a decidable criterion for treedepth boundedness in diameter-constrained (F)-free graphs. The results unify geometric (diameter) and structural (forbidden subgraph) constraints within width parameter theory, establishing a foundational framework for algorithm design and complexity analysis on restricted graph classes.
📝 Abstract
We determine if the width of a graph class ${cal G}$ changes from unbounded to bounded if we consider only those graphs from ${cal G}$ whose diameter is bounded. As parameters we consider treedepth, pathwidth, treewidth and clique-width, and as graph classes we consider classes defined by forbidding some specific graph $F$ as a minor, induced subgraph or subgraph, respectively. Our main focus is on treedepth for $F$-subgraph-free graphs of diameter at most~$d$ for some fixed integer $d$. We give classifications of boundedness of treedepth for $din {4,5,ldots}$ and partial classifications for $d=2$ and $d=3$.