Mild solutions to the dynamic programming equation for stochastic optimal control problems

We show via the nonlinear semigroup theory in L1(R) that the 1-D dynamic programming equation associated with a stochastic optimal control problem with multiplicative noise has a unique mild solution in a sense to be made precise.