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Indefinite mean-field type linear–quadratic stochastic optimal control problems

Indefinite mean-field type linear-quadratic stochastic optimal control problems
Authors: Na Li 0006; Xun Li 0002; Zhiyong Yu 0004;

Indefinite mean-field type linear–quadratic stochastic optimal control problems

Abstract

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

Countries
Hong Kong, China (People's Republic of)
Keywords

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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    popularity
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    influence
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
26
Top 10%
Top 10%
Top 10%
Green
bronze