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Optimal Control of Fully Coupled Forward-Backward Stochastic Systems with Delay and Noisy Memory
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摘要
We study the optimal control of fully coupled forward-backward stochastic systems with delay and noisy memory where the dynamics is governed by a controlled It?-Lévy process and the information available to the controller is possibly less than the overall information. Sufficient and necessary maximum principles for the optimal control of such systems are derived using Malliavin calculus techniques. As an illustration, we apply the result to an optimal consumption problem in a financial model with memory and partial information.
We study the optimal control of fully coupled forward-backward stochastic systems with delay and noisy memory where the dynamics is governed by a controlled It?-Lévy process and the information available to the controller is possibly less than the overall information. Sufficient and necessary maximum principles for the optimal control of such systems are derived using Malliavin calculus techniques. As an illustration, we apply the result to an optimal consumption problem in a financial model with memory and partial information.
引文
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