Key points are not available for this paper at this time.
We find the explicit solution to several new problems in stochastic control, among them the finite-fuel problem of optimally tracking a standard Wiener process x+w t started at x by a nonanticipating process ξ t having ξ0=0 and total variation (fuel) so as to minimize the expected discounted cost . In n dimensions, the optimal process ξ is given thus: fuel is expended in a singular way to force x+w–ξ t reach and stay in the region remaining at time t, and f′ is a Bessel (n even) or an elementary function (n odd). Except for a possible initial jump in ξ the process is a degenerate diffusion that reflects at fixed angels off the boundary and is expressible in terms of the local times on the boundary components.
Beneš et al. (Tue,) studied this question.
Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context: