Title
Maximum Principles for Optimal Control of Forward-Backward Stochastic Differential Equations with Jumps
Abstract
We present various versions of the maximum principle for optimal control of forward-backward stochastic differential equations (SDE) with jumps. Our study is motivated by risk minimization via $g$-expectations. We first prove a general sufficient maximum principle for optimal control with partial information of a stochastic system consisting of a forward and a backward SDE driven by Lévy processes. We then present a Malliavin calculus approach which allows us to handle non-Markovian systems. Finally, we give examples of applications.
Year
DOI
Venue
2009
10.1137/080739781
SIAM J. Control and Optimization
Keywords
Field
DocType
optimal control,stochastic differential equation,stochastic optimal control,maximum principle,malliavin calculus
Differential equation,Mathematical optimization,Maximum principle,Optimal control,Stochastic process,Stochastic differential equation,Malliavin calculus,Stochastic partial differential equation,Mathematics,Stochastic control
Journal
Volume
Issue
ISSN
48
5
0363-0129
Citations 
PageRank 
References 
15
1.96
2
Authors
2
Name
Order
Citations
PageRank
Bernt Oksendal18915.84
Agnès Sulem29820.64