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FORWARD–BACKWARD STOCHASTIC DIFFERENTIAL EQUATIONS AND CONTROLLED MCKEAN–VLASOV DYNAMICS
by
Carmona, René
, Delarue, François
in
60H10
/ 60K35
/ 93E20
/ Dynamical systems
/ Game theory
/ Mathematics
/ McKean–Vlasov diffusion
/ mean-field forward–backward stochastic differential equation
/ mean-field interaction
/ Probability
/ Stochastic control
/ Stochastic control theory
/ Stochastic models
/ stochastic Pontryagin principle
/ Studies
2015
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FORWARD–BACKWARD STOCHASTIC DIFFERENTIAL EQUATIONS AND CONTROLLED MCKEAN–VLASOV DYNAMICS
by
Carmona, René
, Delarue, François
in
60H10
/ 60K35
/ 93E20
/ Dynamical systems
/ Game theory
/ Mathematics
/ McKean–Vlasov diffusion
/ mean-field forward–backward stochastic differential equation
/ mean-field interaction
/ Probability
/ Stochastic control
/ Stochastic control theory
/ Stochastic models
/ stochastic Pontryagin principle
/ Studies
2015
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Do you wish to request the book?
FORWARD–BACKWARD STOCHASTIC DIFFERENTIAL EQUATIONS AND CONTROLLED MCKEAN–VLASOV DYNAMICS
by
Carmona, René
, Delarue, François
in
60H10
/ 60K35
/ 93E20
/ Dynamical systems
/ Game theory
/ Mathematics
/ McKean–Vlasov diffusion
/ mean-field forward–backward stochastic differential equation
/ mean-field interaction
/ Probability
/ Stochastic control
/ Stochastic control theory
/ Stochastic models
/ stochastic Pontryagin principle
/ Studies
2015
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FORWARD–BACKWARD STOCHASTIC DIFFERENTIAL EQUATIONS AND CONTROLLED MCKEAN–VLASOV DYNAMICS
Journal Article
FORWARD–BACKWARD STOCHASTIC DIFFERENTIAL EQUATIONS AND CONTROLLED MCKEAN–VLASOV DYNAMICS
2015
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Overview
The purpose of this paper is to provide a detailed probabilistic analysis of the optimal control of nonlinear stochastic dynamical systems of McKean–Vlasov type. Motivated by the recent interest in mean-field games, we highlight the connection and the differences between the two sets of problems. We prove a new version of the stochastic maximum principle and give sufficient conditions for existence of an optimal control. We also provide examples for which our sufficient conditions for existence of an optimal solution are satisfied. Finally we show that our solution to the control problem provides approximate equilibria for large stochastic controlled systems with mean-field interactions when subject to a common policy.
Publisher
Institute of Mathematical Statistics,The Institute of Mathematical Statistics
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