Social Optima in Mean Field Linear-Quadratic-Gaussian Control with Volatility Uncertainty
Abstract
This paper examines mean field linear-quadratic-Gaussian (LQG) social optimum control with volatility-uncertain common noise. The diffusion terms in the dynamics of agents contain an unknown volatility process driven by a common noise. We apply a robust optimization approach in which all agents view volatility uncertainty as an adversarial player. Based on the principle of person-by-person optimality and a two-step-duality technique for stochastic variational analysis, we construct an auxiliary optimal control problem for a representative agent. Through solving this problem combined with a consistent mean field approximation, we design a set of decentralized strategies, which are further shown to be asymptotically social optimal by perturbation analysis.
Keywords
Cite
@article{arxiv.1912.06371,
title = {Social Optima in Mean Field Linear-Quadratic-Gaussian Control with Volatility Uncertainty},
author = {Jianhui Huang and Bing-Chang Wang and Jiongmin Yong},
journal= {arXiv preprint arXiv:1912.06371},
year = {2019}
}