Abstract
We introduce a generalized notion of semilinear elliptic partial differential equations where the corresponding second order partial differential operator [Formula: see text] has a generalized drift. We investigate existence and uniqueness of generalized solutions of class [Formula: see text]. The generator [Formula: see text] is associated with a Markov process [Formula: see text] which is the solution of a stochastic differential equation with distributional drift. If the semilinear PDE admits boundary conditions, its solution is naturally associated with a backward stochastic differential equation (BSDE) with random terminal time, where the forward process is [Formula: see text]. Since [Formula: see text] is a weak solution of the forward SDE, the BSDE appears naturally to be driven by a martingale. In the paper we also discuss the uniqueness of solutions of a BSDE with random terminal time when the driving process is a general càdlàg martingale.
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