Open Access
June 2016 Backward stochastic differential equation driven by a marked point process: An elementary approach with an application to optimal control
Fulvia Confortola, Marco Fuhrman, Jean Jacod
Ann. Appl. Probab. 26(3): 1743-1773 (June 2016). DOI: 10.1214/15-AAP1132

Abstract

We address a class of backward stochastic differential equations on a bounded interval, where the driving noise is a marked, or multivariate, point process. Assuming that the jump times are totally inaccessible and a technical condition holds (see Assumption (A) below), we prove existence and uniqueness results under Lipschitz conditions on the coefficients. Some counter-examples show that our assumptions are indeed needed. We use a novel approach that allows reduction to a (finite or infinite) system of deterministic differential equations, thus avoiding the use of martingale representation theorems and allowing potential use of standard numerical methods. Finally, we apply the main results to solve an optimal control problem for a marked point process, formulated in a classical way.

Citation

Download Citation

Fulvia Confortola. Marco Fuhrman. Jean Jacod. "Backward stochastic differential equation driven by a marked point process: An elementary approach with an application to optimal control." Ann. Appl. Probab. 26 (3) 1743 - 1773, June 2016. https://doi.org/10.1214/15-AAP1132

Information

Received: 1 July 2014; Revised: 1 July 2015; Published: June 2016
First available in Project Euclid: 14 June 2016

zbMATH: 1345.60048
MathSciNet: MR3513605
Digital Object Identifier: 10.1214/15-AAP1132

Subjects:
Primary: 60H10
Secondary: 93E20

Keywords: Backward stochastic differential equations , marked point processes , stochastic optimal control

Rights: Copyright © 2016 Institute of Mathematical Statistics

Vol.26 • No. 3 • June 2016
Back to Top