Singular Optimal Stochastic Controls II: Dynamic programming

Abstract

The dynamic programming principle for a multidimensional singular stochastic control problem is established in this paper. When assuming Lipschitz continuity on the data, it is shown that the value function is continuous and is the unique viscosity solution of the corresponding Hamilton–Jacobi–Bellman equation.