Title
Stochastic Control for Mean-Field Stochastic Partial Differential Equations with Jumps.
Abstract
We study optimal control for mean-field stochastic partial differential equations (stochastic evolution equations) driven by a Brownian motion and an independent Poisson random measure, in case of partial information control. One important novelty of our problem is represented by the introduction of general mean-field operators, acting on both the controlled state process and the control process. We first formulate a sufficient and a necessary maximum principle for this type of control. We then prove the existence and uniqueness of the solution of such general forward and backward mean-field stochastic partial differential equations. We apply our results to find the explicit optimal control for an optimal harvesting problem.
Year
DOI
Venue
2018
10.1007/s10957-018-1243-3
J. Optimization Theory and Applications
Keywords
Field
DocType
Mean-field stochastic partial differential equation,Optimal control,Mean-field backward stochastic partial differential equation,Stochastic maximum principles,60H15,93E20,35R60
Uniqueness,Optimal control,Maximum principle,Mathematical analysis,Poisson random measure,Operator (computer programming),Stochastic partial differential equation,Brownian motion,Mathematics,Stochastic control
Journal
Volume
Issue
ISSN
176
3
0022-3239
Citations 
PageRank 
References 
0
0.34
0
Authors
3
Name
Order
Citations
PageRank
Roxana Dumitrescu100.34
Bernt Oksendal28915.84
Agnès Sulem39820.64