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Long-Term Average Impulse Control with Mean Field Interactions

2025/05/16 by K. L. Helmes, Kurt Helmes, Richard H. Stockbridge +6
Economics, Econometrics and Finance · Medicine · Physics and Astronomy · #Economic theories and models #Mathematical and Theoretical Epidemiology and Ecology Models #Opinion Dynamics and Social Influence #math.OC #math.PR

paper · pdf · doi:10.48550/arxiv.2505.11345

openalex publication_date 2025/05/16 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28

Abstract

This paper analyzes and explicitly solves a class of long-term average impulse control problems with a specific mean-field interaction. The underlying process is a general one-dimensional diffusion with appropriate boundary behavior. The model is motivated by applications such as the optimal long-term management of renewable resources and financial portfolio management. Each individual agent seeks to maximize her long-term average reward, which consists of a running reward and income from discrete impulses, where the unit intervention price depends on the market through a stationary supply rate, the specific mean field variable to be considered. In a competitive market setting, we establish the existence of and explicitly characterize an equilibrium strategy within a large class of policies under mild conditions. Additionally, we formulate and solve the mean field control problem, in which agents cooperate with each other, aiming to realize a common maximal long-term average profit. To illustrate the theoretical results, we examine a stochastic logistic growth model and a population growth model in a stochastic environment with impulse control.

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