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Title: Linear quadratic optimal control problems for mean-field backward stochastic differential equations
Authors: Li, X 
Sun, J
Xiong, J
Issue Date: Aug-2019
Source: Applied mathematics and optimization, Aug. 2019, v. 80, no. 1, p. 223-250
Abstract: This paper is concerned with linear quadratic optimal control problems for mean-field backward stochastic differential equations (MF-BSDEs, for short) with deterministic coefficients. The optimality system, which is a linear mean-field forward–backward stochastic differential equation with constraint, is obtained by a variational method. By decoupling the optimality system, two coupled Riccati equations and an MF-BSDE are derived. It turns out that the coupled two Riccati equations are uniquely solvable. Then a complete and explicit representation is obtained for the optimal control.
Keywords: Decoupling
Linear quadratic optimal control
Mean-field backward stochastic differential equation
Optimality system
Riccati equation
Publisher: Springer
Journal: Applied mathematics and optimization 
ISSN: 0095-4616
EISSN: 1432-0606
DOI: 10.1007/s00245-017-9464-7
Rights: © Springer Science+Business Media, LLC 2017
This version of the article has been accepted for publication, after peer review (when applicable) and is subject to Springer Nature’s AM terms of use (https://www.springernature.com/gp/open-research/policies/accepted-manuscript-terms), but is not the Version of Record and does not reflect post-acceptance improvements, or any corrections. The Version of Record is available online at: http://dx.doi.org/10.1007/s00245-017-9464-7
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