Title
Mean-field backward stochastic differential equations in general probability spaces
Abstract
In this paper, we deal with a class of mean-field backward stochastic differential equations in continuous time with an arbitrary filtered probability space. We prove the existence and uniqueness of a solution for those equations with strengthened Lipschitz assumption. A comparison theorem is also established.
Year
DOI
Venue
2015
10.1016/j.amc.2015.04.014
Applied Mathematics and Computation
Keywords
Field
DocType
Mean-field backward stochastic,Differential equation,Stieltjes measure,Comparison theorem
Differential equation,Picard–Lindelöf theorem,Mathematical optimization,Mathematical analysis,Stochastic differential equation,Lipschitz continuity,Stochastic partial differential equation,Backward differentiation formula,Kolmogorov equations (Markov jump process),Comparison theorem,Mathematics
Journal
Volume
Issue
ISSN
263
C
0096-3003
Citations 
PageRank 
References 
0
0.34
1
Authors
3
Name
Order
Citations
PageRank
Wen Lu1253.35
Yong Ren231.16
Lanying Hu3175.11