Embeddability of graphs and Weihrauch degrees
Vittorio Cipriani, Arno Pauly
TL;DR
The paper advances the systematic classification of the uniform computational content of (induced) subgraph problems for fixed countable graphs using effective Wadge reducibility and Weihrauch reducibility. It reveals a sharp dichotomy: the induced-subgraph decision problem for infinite graphs is always $oldsymbol{ Sigma}^1_1$-complete, while the corresponding search problems exhibit a rich spectrum, with induced-subgraph copies typically Weihrauch-equivalent to $oldsymbol{C}_{ N^ }$ and non-induced subgraph copies ranging from $oldsymbol{C}_{ N^ }$ to lim-type degrees. A novel tool, the finite part of a problem, clarifies how first-order content interacts with higher-type computations, and the analysis of the ray $R$-substructure shows both strong nontrivial separations and surprising compositions like $oldsymbol{C}_{ N^ } otrac{W}{=} ext{S-Copy}_{R}$ yet $oldsymbol{C}_{ N^ } uildrel{}ar{} = ext{lim}_2* ext{S-Copy}_{R}$. The results connect reverse mathematics and computable analysis in graph-theoretic contexts, map graph-structural properties to Weihrauch degrees, and raise open questions about finer gradations within the induced/subgraph landscape and related supergraph variants.
Abstract
We study the complexity of the following related computational tasks concerning a fixed countable graph G: 1. Does a countable graph H provided as input have a(n induced) subgraph isomorphic to G? 2. Given a countable graph H that has a(n induced) subgraph isomorphic to G, find such a subgraph. The framework for our investigations is given by effective Wadge reducibility and by Weihrauch reducibility. Our work follows on "Reverse mathematics and Weihrauch analysis motivated by finite complexity theory" (Computability, 2021) by BeMent, Hirst and Wallace, and we answer several of their open questions.
