arXiv · 1410.3538
Dynamic Programming Principle for Stochastic Recursive Optimal Control Problem under G-framework
Abstract
In this paper, we study a stochastic recursive optimal control problem in which the cost functional is described by the solution of a backward stochastic differential equation driven by G-Brownian motion. Under standard assumptions, we establish the dynamic programming principle and the related fully nonlinear HJB equation in the framework of G-expectation. Finally, we show that the value function is the viscosity solution of the obtained HJB equation.
Explore related subjects
Keep this discovery
Mingshang Hu, Shaolin Ji. 2014-10-13. Dynamic Programming Principle for Stochastic Recursive Optimal Control Problem under G-framework. https://arxiv.org/abs/1410.3538
Cite the original work for its findings. Save a collection to share your selection of sources.