The derived moduli of Stokes data
Mauro Porta, Jean-Baptiste Teyssier
TL;DR
This work develops a comprehensive derived-algebraic framework for Stokes data associated to flat bundles on complex varieties. By recasting Stokes structures as functors on exit-path categories of exodromic stratified spaces and assembling them into hyperconstructible hypersheaves, the authors establish that the moduli of Stokes data forms a locally geometric derived stack locally of finite presentation, valid in arbitrary dimension and with ∞-categorical coefficients. Central innovations include the Stokes functor formalism, exodromy, level structures (and their ramified variants), spreading-out principles, and a Toën–Vaquié-type moduli-objects approach, yielding stability, finite-type results, and a geometric moduli space description. The results connect classical Stokes filtrations in dimension one with higher-dimensional, derived, and universal moduli spaces, providing a robust foundation for shifted-symplectic structure expectations and noncommutative geometry interpretations of Stokes data.
Abstract
The goal of this paper is to show that Stokes data coming from flat bundles form a locally geometric derived stack locally of finite presentation. This generalizes existing geometricity results on Stokes data in four different directions: our result applies in any dimension, $\infty$-categorical coefficients are allowed, derived structures on moduli spaces are considered and more general spaces than those arising from flat bundles are permitted.
