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Optimal locally absolutely continuous change of measure. Finite set of decisions. II: Optimization problems. (English) Zbl 0639.93065

This paper continues part I [the authors, ibid. 21, 131-185 (1987; Zbl 0622.93077)]. The authors consider control problems, where a control choice implies a locally absolutely continuous transformation of some initial measure. They investigate a martingale characterization of the value process and derive a nonlinear stochastic differential equation which is a nonlinear analogue of the inverse Girsanov transformation standing for the Bellman equation. Using these characterizations, the defect formula, the maximum principle, the extremal set of controls and sufficient filtration for the optimization problem are considered.
Reviewer: M.Nisio

MSC:

93E20 Optimal stochastic control
49K45 Optimality conditions for problems involving randomness
49L20 Dynamic programming in optimal control and differential games
60G44 Martingales with continuous parameter
60H10 Stochastic ordinary differential equations (aspects of stochastic analysis)

Citations:

Zbl 0622.93077
Full Text: DOI

References:

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