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Maximum principle in nonlinear optimal stochastic singular control problems

Authors: Francois Dufour; Boris Miller;

Maximum principle in nonlinear optimal stochastic singular control problems

Abstract

In this paper, necessary conditions of optimality, in the form of a maximum principle, are obtained for singular stochastic control problems. This maximum principle is derived for a state process satisfying a general stochastic differential equation where the coefficient associated to the control process can be dependent on the state. We consider the class of so called robust nonlinear impulsive systems, those discontinuous solutions can be considered also as point-wise limits of ordinary solutions. The special conditions of robustness permit to derive the backward equations for adjoint variables in concise form of differential equation with measure and thereby to derive the optimality condition in the form of strong (point-wise) maximum principle.

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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!
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Average
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