Doubly reflected backward SDEs driven by G-Brownian motions and fully nonlinear PDEs with double obstacles

Abstract In this paper, we introduce a new method to study the doubly reflected backward stochastic differential equation driven by G -Brownian motion ( G -BSDE). Our approach involves approximating the solution through a family of penalized reflected G -BSDEs with a lower obstacle that are monotone decreasing. By employing this approach, we establish the well-posedness of the solution of the doubly reflected G -BSDE with the weakest known conditions, and uncover its relationship with the fully nonlinear partial differential equation with double obstacles for the first time.

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Publication Details

Journal
Stochastic Partial Differential Equations Analysis and Computations
Published
2025-03-22
DOI
https://doi.org/10.1007/s40072-025-00354-3
Primary Topic
Stochastic processes and financial applications
Type
article
Field-Weighted Citation Impact
0.00

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article

Doubly reflected backward SDEs driven by G-Brownian motions and fully nonlinear PDEs with double obstacles

Hanwu Li, Ning Ning
Stochastic Partial Differential Equations Analysis and Computations
Stochastic processes and financial applications
article

Doubly reflected backward SDEs driven by G-Brownian motions and fully nonlinear PDEs with double obstacles

Hanwu Li, Ning Ning
article en

Abstract

Abstract In this paper, we introduce a new method to study the doubly reflected backward stochastic differential equation driven by G -Brownian motion ( G -BSDE). Our approach involves approximating the solution through a family of penalized reflected G -BSDEs with a lower obstacle that are monotone decreasing. By employing this approach, we establish the well-posedness of the solution of the doubly reflected G -BSDE with the weakest known conditions, and uncover its relationship with the fully nonlinear partial differential equation with double obstacles for the first time.

Stochastic Partial Differential Equations Analysis and ComputationsVol. 13(3)
Shandong University (CN), Shandong University of Science and Technology (CN), Texas A&M University (US)
National Natural Science Foundation of China
Openalex Percentile: Top 93%
Stochastic processes and financial applications
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Doubly reflected backward SDEs driven by G-Brownian motions and fully nonlinear PDEs with double obstacles — Hanwu Li, Ning Ning · Stochastic Partial Differential Equations Analysis and Computations (2025) | TGRS Research Map | TGRS