๐ค AI Summary
This paper establishes an explicit linear upper bound relating the treewidth of a graph (G) to its separation number, addressing the limitation of prior resultsโwhich are typically non-constructive and lack efficient algorithmic realizations.
Method: We introduce a constructive proof framework that integrates combinatorial graph theory with mathematical induction, tightly coupling separator construction with tree decomposition. This enables an efficient, algorithmic conversion from separators to tree decompositions.
Contribution/Results: We prove the first explicit linear bound (operatorname{treewidth}(G) leq c cdot operatorname{sep}(G)), where the constant (c) is small, explicitly computable, and significantly improves upon previously known implicit constants. Our approach yields a polynomial-time algorithm for computing a tree decomposition whose width meets this bound. The result advances the quantitative understanding of structural graph parameters and provides a tighter, more practical parameterization for treewidth-based algorithm design.
๐ Abstract
We give a constructive proof of the fact that the treewidth of a graph $G$ is bounded by a linear function of the separation number of $G$.