On the complexity of finite subgraphs of the curve graph
Edgar A. Bering IV, Gabriel Conant, and Jonah Gaster

TL;DR
This paper introduces a new graph invariant called nested complexity length to analyze the structure of the curve graph of surfaces, revealing topological constraints and limitations of traditional invariants like chromatic and clique numbers.
Contribution
The paper defines the nested complexity length invariant, relates it to surface topology, and demonstrates its effectiveness in obstructing certain subgraph embeddings in the curve graph.
Findings
Nested complexity length equals twice the maximal multicurve size, capturing surface topology.
Large half-graphs and multipartite graphs cannot embed into the curve graph.
Traditional invariants like chromatic and clique numbers are insufficient to characterize property $\\mathcal{P}_{g,p}$.
Abstract
We say a graph has property when it is an induced subgraph of the curve graph of a surface of genus with punctures. Two well-known graph invariants, the chromatic and clique numbers, can provide obstructions to . We introduce a new invariant of a graph, the 'nested complexity length', which provides a novel obstruction to . For the curve graph this invariant captures the topological complexity of the surface in graph-theoretic terms; indeed we show that its value is , i.e. twice the size of a maximal multicurve on the surface. As a consequence we show that large half-graphs do not have , and we deduce quantitatively that almost all finite graphs which pass the chromatic and clique tests do not have . We also reinterpret our obstruction in terms of the first-order theory of…
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Taxonomy
TopicsTopological and Geometric Data Analysis · Computational Geometry and Mesh Generation · Digital Image Processing Techniques
