
arXiv: 2003.08090
handle: 10397/98521
This paper focuses on indefinite stochastic mean-field linear-quadratic (MF-LQ, for short) optimal control problems, which allow the weighting matrices for state and control in the cost functional to be indefinite. The solvability of stochastic Hamiltonian system and Riccati equations is presented under both positive definite case and indefinite case. The optimal controls in open-loop form and closed-loop form are obtained, respectively. Moreover, the dynamic mean-variance problem can be solved within the framework of the indefinite MF-LQ problem. Other two examples shed light on the theoretical results established.
30 pages, 5 figures
stochastic linear-quadratic problem, Stochastic differential equation, Equation, mean-field, stochastic differential equation, Stochastic linear–quadratic problem, 530, Stochastic ordinary differential equations (aspects of stochastic analysis), Mean-field, Riccati equation, Forward–backward stochastic differential, Optimization and Control (math.OC), forward-backward stochastic differential equation, Linear-quadratic optimal control problems, FOS: Mathematics, Optimal stochastic control, Hamiltonian system, Mathematics - Optimization and Control
stochastic linear-quadratic problem, Stochastic differential equation, Equation, mean-field, stochastic differential equation, Stochastic linear–quadratic problem, 530, Stochastic ordinary differential equations (aspects of stochastic analysis), Mean-field, Riccati equation, Forward–backward stochastic differential, Optimization and Control (math.OC), forward-backward stochastic differential equation, Linear-quadratic optimal control problems, FOS: Mathematics, Optimal stochastic control, Hamiltonian system, Mathematics - Optimization and Control
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