G-BSDEs with non-Lipschitz coefficients and the corresponding stochastic recursive optimal control problem

Fuente: arXiv
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Autori principali: He, Wei, Tang, Qiangjun
Natura: Preprint
Pubblicazione: 2025
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author He, Wei
Tang, Qiangjun
author_facet He, Wei
Tang, Qiangjun
contents In this paper, we study the existence and uniqueness of solutions to a class of non-Lipschitz G-BSDEs and the corresponding stochastic recursive optimal control problem. More precisely, we suppose that the generator of G-BSDE is uniformly continuous and monotonic with respect to the first unknown variable. Using the comparison theorem for G-BSDE and the stability of viscosity solutions, we establish the dynamic programming principle and the connection between the value function and the viscosity solution of the associated Hamilton-Jacobi-Bellman equation.We provide an example of continuous time Epstein-Zin utility to demonstrate the application of our study.
format Preprint
id arxiv_https___arxiv_org_abs_2508_17731
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle G-BSDEs with non-Lipschitz coefficients and the corresponding stochastic recursive optimal control problem
He, Wei
Tang, Qiangjun
Optimization and Control
Probability
60G65, 60H10, 93E20, 49L25
In this paper, we study the existence and uniqueness of solutions to a class of non-Lipschitz G-BSDEs and the corresponding stochastic recursive optimal control problem. More precisely, we suppose that the generator of G-BSDE is uniformly continuous and monotonic with respect to the first unknown variable. Using the comparison theorem for G-BSDE and the stability of viscosity solutions, we establish the dynamic programming principle and the connection between the value function and the viscosity solution of the associated Hamilton-Jacobi-Bellman equation.We provide an example of continuous time Epstein-Zin utility to demonstrate the application of our study.
title G-BSDEs with non-Lipschitz coefficients and the corresponding stochastic recursive optimal control problem
topic Optimization and Control
Probability
60G65, 60H10, 93E20, 49L25
url https://arxiv.org/abs/2508.17731