Abstract
AbstractIn this paper, we consider the optimal control problem for fully coupled forward–backward stochastic difference equations of mean-field type under weak convexity assumption. By virtue of employing a suitable product rule and formulating a mean-field backward stochastic difference equation, we establish the stochastic maximum principle and also derive, under additional assumptions, that the stochastic maximum principle is also a sufficient condition. As an application, a Stackelberg game of mean-field backward stochastic difference equation is presented to demonstrate our results.
Publisher
Springer Science and Business Media LLC
Subject
Applied Mathematics,Algebra and Number Theory,Analysis
Reference31 articles.
1. Yong, J.M., Zhou, X.Y.: Stochastic Controls, Hamiltonian Systems and HJB Equations. Springer, Berlin (1999)
2. Bismut, J.M.: An introductory approach to duality in optimal stochastic control. SIAM Rev. 20, 62–78 (1978)
3. Dokuchaev, N., Zhou, X.Y.: Stochastic controls with terminal contingent conditions. J. Math. Anal. Appl. 238(1), 143–165 (1999)
4. Ma, H.P., Liu, B.: Optimal control of mean-field jump-diffusion systems with noisy memory. Int. J. Control 92(4), 816–827 (2019)
5. Peng, S.G.: A general stochastic maximum principle for optimal control problems. SIAM J. Control Optim. 28, 966–979 (1990)
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