Quickly excluding an annotated planar graph
Maximilian Gorsky, Evangelos Protopapas, Sebastian Wiederrecht
TL;DR
This work delivers a constructive, polynomial-bounded proof of the structure theorem for annotated graphs with bounded bidimensionality, extending the Grid Theorem paradigm to red minors (rooted/minor-annotated frameworks). The authors develop a comprehensive toolkit—flat walls, society classifications, and local-to-global decompositions—ensuring all parameters in the theorem are bounded by a polynomial in k, and provide an algorithm that either certifies bidimensionality ≥ k or yields a near-embedding with polynomially bounded complexity. By combining advances in polynomial bounds within Graph Minor theory with annotated-vertex-set techniques, they also sketch polynomial bounds for apex-minor excluded graphs, and discuss implications for extensions of Courcelle’s Theorem and Steiner Tree-type problems on annotated graphs. The results illuminate how restricting the red-vertex structure relative to a minor-free graph class yields tractable, structure-driven algorithmic consequences, highlighting the central role of bidimensionality in contemporary parameterized and structural graph theory. Overall, the paper advances a constructive, polynomially-bounded framework for annotated graphs that unifies several strands of minor theory, algorithmic meta-theorems, and layered decompositions. The methods promise broad applicability to problems like Steiner Tree in apex- and apex-minor-free classes, and to the broader program of extending Courcelle-type results under annotated and near-embedding constraints.
Abstract
We provide proofs certifying that the structure theorem for vertex sets of bounded bidimensionality holds with polynomial bounds. The bidimensionality of vertex sets is a common generalisation of both treewidth and the face-cover-number of vertex sets in planar graphs. As such, it plays a crucial role in extensions of Courcelle's Theorem to $H$-minor-free graphs. Recently, bidimensionality and similar parameters have emerged as key for extensions of known parameterized algorithms for problems defined on a terminal set $R$. A prominent example for such a problem is Steiner Tree, which admits efficient algorithms on planar graphs whenever $R$ can be covered with few faces. Key to the algorithmic applications of bidimensionality is a structure theorem that explains how a graph $G$ can be decomposed into pieces where the behaviour of $R$ is highly controlled. One may see this structure theorem as a rooted analogue of Robertson and Seymour's celebrated Grid Theorem. Combining recent advances in obtaining polynomial bounds in the Graph Minors framework with new techniques for handling annotated vertex sets, we show that all parameters in the structure theorem above admit polynomial bounds. As an application, we also provide a sketch showing how our techniques imply polynomial bounds for the structure theorem for graphs excluding an apex minor.
