G-Brownian Motion as Rough Paths and Differential Equations Driven by G-Brownian Motion
Xi Geng, Zhongmin Qian, Danyu Yang

TL;DR
This paper explores G-Brownian motion using rough path theory, establishing pathwise solutions for SDEs and RDEs, and extending these concepts to manifolds with applications to approximation methods.
Contribution
It introduces the enhancement of G-Brownian motion paths to rough paths and develops a framework for SDEs on manifolds driven by G-Brownian motion.
Findings
G-Brownian motion paths can be enhanced to geometric rough paths of roughness 2 < p < 3.
Established the relation between SDEs and RDEs driven by G-Brownian motion.
Developed Euler-Maruyama approximation for G-Brownian motion driven SDEs.
Abstract
The present paper is devoted to the study of sample paths of G-Brownian motion and stochastic differential equations (SDEs) driven by G-Brownian motion from the view of rough path theory. As the starting point, we show that quasi-surely, sample paths of G-Brownian motion can be enhanced to the second level in a canonical way so that they become geometric rough paths of roughness 2 < p < 3. This result enables us to introduce the notion of rough differential equations (RDEs) driven by G-Brownian motion in the pathwise sense under the general framework of rough paths. Next we establish the fundamental relation between SDEs and RDEs driven by G-Brownian motion. As an application, we introduce the notion of SDEs on a differentiable manifold driven by GBrownian motion and construct solutions from the RDE point of view by using pathwise localization technique. This is the starting point of…
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Taxonomy
TopicsStochastic processes and financial applications · Probability and Statistical Research · advanced mathematical theories
