Presentations of Galois groups of maximal extensions with restricted ramification
Yuan Liu
TL;DR
The paper develops a comprehensive cohomological framework to analyze presentations of G_S(k), the Galois group of the maximal extension unramified outside S, across global fields and Γ-extensions. It generalizes the Euler-Poincaré characteristic to include Γ-actions and arbitrary finite simples A, introducing B_S(k,A) to capture cohomological obstructions and δ_{k/Q,S}(A) to bound the number of relations. By constructing free and admissible Γ-presentations, establishing pro-𝒞‑level structures, and bounding multiplicities via H^1 and H^2, the authors prove finite, balanced-type presentations exist for G_O,∞(k)^𝒞 in many settings, and they extend non-abelian Cohen-Lenstra heuristics to these canonical quotients. They also analyze exceptional cases where root-of-unity phenomena alter the distributions, clarifying when the LWZB random-group model remains valid and when it requires corrections. Overall, the work provides a robust, cohomology-driven toolkit for understanding Galois groups with restricted ramification and their relationship to probabilistic models of class-field theoretic structures.
Abstract
Motivated by the work of Lubotzky, we use Galois cohomology to study the difference between the number of generators and the minimal number of relations in a presentation of the Galois group $G_S(k)$ of the maximal extension of a global field $k$ that is unramified outside a finite set $S$ of places, as $k$ varies among a certain family of extensions of a fixed global field $Q$. We prove a generalized version of the global Euler-Poincaré Characteristic, and define a group $B_S(k,A)$, for each finite simple $G_S(k)$-module $A$, to generalize the work of Koch about the pro-$\ell$ completion of $G_S(k)$ to study the whole group $G_S(k)$. In the setting of the nonabelian Cohen-Lenstra heuristics, we prove that the objects studied by the Liu--Wood--Zureick-Brown conjecture are always achievable by the random group that is constructed in the definition the probability measure in the conjecture.
