Backward Stochastic Volterra integral equations driven by G-Brownian motion

Fuente: arXiv
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Main Authors: Zhao, Bingru, Hu, Mingshang
Format: Preprint
Published: 2025
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author Zhao, Bingru
Hu, Mingshang
author_facet Zhao, Bingru
Hu, Mingshang
contents In this paper, we study the Backward stochastic Volterra integral equation driven by G-Brownian motion (G-BSVIE). By adopting a different backward iteration method, we construct the approximating sequences on each local interval. With the help of G-stochastic analysis techniques and the monotone convergence theorem, the existence, uniqueness, and continuity of the solution over the entire interval are established. Moreover, we derive the comparison theorem.
format Preprint
id arxiv_https___arxiv_org_abs_2512_23346
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Backward Stochastic Volterra integral equations driven by G-Brownian motion
Zhao, Bingru
Hu, Mingshang
Probability
In this paper, we study the Backward stochastic Volterra integral equation driven by G-Brownian motion (G-BSVIE). By adopting a different backward iteration method, we construct the approximating sequences on each local interval. With the help of G-stochastic analysis techniques and the monotone convergence theorem, the existence, uniqueness, and continuity of the solution over the entire interval are established. Moreover, we derive the comparison theorem.
title Backward Stochastic Volterra integral equations driven by G-Brownian motion
topic Probability
url https://arxiv.org/abs/2512.23346