Stationary Mean-Field singular control of an Ornstein-Uhlenbeck process

Motivated by continuous-time optimal inventory management, we study a class of stationary mean-field control problems with singular controls. The dynamics are modeled by a mean-reverting Ornstein-Uhlenbeck process, and the performance criterion is given by a quadratic long-time average expected cost functional. The mean-field dependence is through the stationary mean of the controlled process itself, which enters the ergodic cost functional. We characterize the solution to the stationary mean-field control problem in terms of the equilibria of an associated stationary mean-field game, showing that solutions of the control problem are in bijection with the equilibria of this mean-field game. Finally, we solve the stationary mean-field game explicitly, thereby providing a solution to the original stationary mean-field control problem.

💡 Research Summary

The paper investigates a stationary mean‑field control (MFC) problem for a one‑dimensional Ornstein‑Uhlenbeck (OU) process with singular controls, motivated by continuous‑time inventory management. The state dynamics are given by

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