English

Global universal approximation with Brownian signatures

Probability 2025-12-19 v1 Machine Learning Mathematical Finance

Abstract

We establish LpL^p-type universal approximation theorems for general and non-anticipative functionals on suitable rough path spaces, showing that linear functionals acting on signatures of time-extended rough paths are dense with respect to an LpL^p-distance. To that end, we derive global universal approximation theorems for weighted rough path spaces. We demonstrate that these LpL^p-type universal approximation theorems apply in particular to Brownian motion. As a consequence, linear functionals on the signature of the time-extended Brownian motion can approximate any pp-integrable stochastic process adapted to the Brownian filtration, including solutions to stochastic differential equations.

Keywords

Cite

@article{arxiv.2512.16396,
  title  = {Global universal approximation with Brownian signatures},
  author = {Mihriban Ceylan and David J. Prömel},
  journal= {arXiv preprint arXiv:2512.16396},
  year   = {2025}
}
R2 v1 2026-07-01T08:31:05.528Z