Optimal Policies for n -Dimensional Singular Stochastic Control Problems Part I: The Skorokhod Problem

Abstract

An n-dimensional Brownian motion is controlled by adding a process of locally bounded variation to it so as to minimize an expected infinite-horizon discounted cost. We show, by direct probabilistic techniques, that the optimal control is a solution of a (generalized) Skorokhod problem.

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