Presentations of Galois groups of unramified extensions of global fields and its predicted distribution
Ken Willyard

TL;DR
This paper generalizes heuristics for the distribution of Galois groups of unramified extensions over global fields, introducing a new random group model that accounts for arbitrary base fields and local conditions.
Contribution
It constructs a new random group model predicting the distribution of Galois groups for $ ext{Gamma}$-extensions over any global field, extending previous heuristics.
Findings
Proves certain Galois groups have specific presentations.
Develops a new random group model for distribution prediction.
Generalizes non-abelian Cohen-Lenstra-Martinet heuristics.
Abstract
Motivated by the work of Liu, we study certain canonical quotients of -- the Galois group of the maximal unramified extension of a global field that is split completely at a finite nonempty set of places in -- for -extensions , and prove they have presentations of a particular form. This presentation leads us to the construction of a new random group model as in the work of Liu, Wood, and Zureick-Brown that predicts the distribution of as we vary among -extensions with prescribed local conditions at places in , giving a generalization of the non-abelian Cohen-Lenstra-Martinet Heuristics. The key generalization is that can be an arbitrary global field, while this comes at a cost of introducing a prime-to- condition in addition to avoiding roots of unity, , and the…
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