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A second-order maximum principle for singular optimal stochastic controls
A singular optimal stochastic control problem is studied. A
second-order maximum principle is presented. The second-order
adjoint processes are involved, though the diffusion of the control
system is control independent. The range theorem of vector-valued
measures is used to prove the maximum principle. Examples are given
to illustrate the applications.