Stochastic PDEs driven by G-Brownian motion and the associated Backward Doubly Stochastic Differential Equations

Fuente: arXiv
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Autori principali: Denis, Laurent, Zhang, Jing
Natura: Preprint
Pubblicazione: 2025
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author Denis, Laurent
Zhang, Jing
author_facet Denis, Laurent
Zhang, Jing
contents Our aim is to study the well-posedness of quasilinear stochastic partial differential equations driven by G-Brownian motion (GSPDEs for short) and the associated backward doubly stochastic differential equations (GBDSDEs for short). We first prove the existence and uniqueness of weak solution to GSPDEs by analytical approach, and then solve the corresponding GBDSDEs. Finally, the relation between GSPDEs and GBDSDEs is established.
format Preprint
id arxiv_https___arxiv_org_abs_2512_05572
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Stochastic PDEs driven by G-Brownian motion and the associated Backward Doubly Stochastic Differential Equations
Denis, Laurent
Zhang, Jing
Probability
Our aim is to study the well-posedness of quasilinear stochastic partial differential equations driven by G-Brownian motion (GSPDEs for short) and the associated backward doubly stochastic differential equations (GBDSDEs for short). We first prove the existence and uniqueness of weak solution to GSPDEs by analytical approach, and then solve the corresponding GBDSDEs. Finally, the relation between GSPDEs and GBDSDEs is established.
title Stochastic PDEs driven by G-Brownian motion and the associated Backward Doubly Stochastic Differential Equations
topic Probability
url https://arxiv.org/abs/2512.05572