DMCOApr 30

An Overview of Universal Obstructions for Graph Parameters

arXiv:2304.1412171.41 citations
AI Analysis

For graph theorists, this work offers a unifying framework to understand and classify graph parameters, but it is primarily a survey with some new unifying results.

The paper introduces a parametric framework for classifying graph parameters using obstruction characterizations, surveying existing results and providing unifying classification results.

In a recent work, we introduced a parametric framework for obtaining obstruction characterizations of graph parameters with respect to a quasi-ordering $\leqslant$ on graphs. Towards this, we proposed the concepts of class obstruction, parametric obstruction, and universal obstruction as combinatorial objects that determine the approximate behaviour of a graph parameter. In this work, we explore its potential as a unifying framework for classifying graph parameters. Under this framework, we survey existing graph-theoretic results on many known graph parameters. Additionally, we provide some unifying results on their classification.

Foundations

The foundational work for this paper's niche, ranked by how specifically the neighbourhood builds on it — not by global fame.

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