An infinite horizon sufficient stochastic maximum principle for regime switching diffusions and applications
Abstract
This paper is concerned with a discounted stochastic optimal control problem for regime switching diffusion in an infinite horizon. First, as a preliminary with particular interests in its own right, the global well-posedness of infinite horizon forward and backward stochastic differential equations with Markov chains and the asymptotic property of their solutions when time goes to infinity are obtained. Then, a sufficient stochastic maximum principle for optimal controls is established via a dual method under certain convexity condition of the Hamiltonian. As an application of our maximum principle, a linear quadratic production planning problem is solved with an explicit feedback optimal production rate. The existence and uniqueness of a non-negative solution to the associated algebraic Riccati equation are proved. Numerical experiments are reported to illustrate the theoretical results, especially, the monotonicity of the value function on various model parameters.
Cite
@article{arxiv.2506.11523,
title = {An infinite horizon sufficient stochastic maximum principle for regime switching diffusions and applications},
author = {Kai Ding and Xun Li and Siyu Lv and Xin Zhang},
journal= {arXiv preprint arXiv:2506.11523},
year = {2026}
}