OPTIMAL POSITION TARGETING VIA DECOUPLING FIELDS

成果类型:
Article
署名作者:
Ankirchner, Stefan; Fromm, Alexander; Kruse, Thomas; Popier, Alexandre
署名单位:
Friedrich Schiller University of Jena; Justus Liebig University Giessen; Le Mans Universite
刊物名称:
ANNALS OF APPLIED PROBABILITY
ISSN/ISSBN:
1050-5164
DOI:
10.1214/19-AAP1511
发表日期:
2020
页码:
644-672
关键词:
STOCHASTIC DIFFERENTIAL-EQUATIONS singular terminal condition forward-backward sdes Optimal transportation BSDEs
摘要:
We consider a variant of the basic problem of the calculus of variations, where the Lagrangian is convex and subject to randomness adapted to a Brownian filtration. We solve the problem by reducing it, via a limiting argument, to an unconstrained control problem that consists in finding an absolutely continuous process minimizing the expected sum of the Lagrangian and the deviation of the terminal state from a given target position. Using the Pontryagin maximum principle, we characterize a solution of the unconstrained control problem in terms of a fully coupled forward-backward stochastic differential equation (FBSDE). We use the method of decoupling fields for proving that the FBSDE has a unique solution. We exploit a mono-tonicity property of the decoupling field for solving the original constrained problem and characterize its solution in terms of an FBSDE with a free backward part.