Indian Journal of Science and Technology
DOI: 10.17485/ijst/2014/v7i3.10
Year: 2014, Volume: 7, Issue: 3, Pages: 271-275
Original Article
R. Ezzati* , M. Khodabin and Z. Sadati
Department of Mathematics, Karaj Branch, Islamic Azad University, Karaj, Iran
*Author for the correspondence:
R. Ezzati
Department of Mathematics, Karaj Branch, Islamic Azad University, Karaj, Iran
E-mail: [email protected]
Received Date:01 February 2014, Accepted Date:23 February 2014, Published Date:03 March 2014
In this paper, a computational technique is presented for solving a Backward Stochastic Differential Equations (BSDEs) driven by a standard Brownian motion. The proposed method is stated via a stochastic operational matrix based on the Block Pulse Functions (BPFs) in combination with the collocation method. With using this approach, the BSDEs are reduced to a stochastic nonlinear system of 2m equations and 2m unknowns. Then, the error analysis is proved by using some definitions, theorems and assumptions on the BSDEs. Efficiency of this method and good reasonable degree of accuracy is confirmed by some numerical examples.
Keywords: Backward Stochastic Differential Equations, Block Pulse Function, Brownian Motion, Stochastic Operational Matrix
Subscribe now for latest articles and news.