Abstract

We study the solution of one-dimensional generalized backward stochastic differential equation driven by Teugels martingales and an independent Brownian motion. We prove existence and uniqueness of the solution when the coefficient verifies some conditions of Lipschitz. If the coefficient is left continuous, increasing, and bounded, we prove the existence of a solution.

Highlights

  • A linear version of backward stochastic differential equations (BSDEs) was first studied by Bismut [4] as the adjoint processes in the maximum principal of stochastic control

  • We study the solution of one-dimensional generalized backward stochastic differential equation driven by Teugels martingales and an independent Brownian motion

  • Pardoux and Peng in [20] introduced the notion of nonlinear BSDE

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Summary

Introduction

A linear version of backward stochastic differential equations (BSDEs) was first studied by Bismut [4] as the adjoint processes in the maximum principal of stochastic control. BSDEs provide connection with mathematical finance [10], stochastic control [11], and stochastic game [9]. This class of BSDEs is a powerful tool to give probabilistic formulas for solution of partial differential equations (see [18, 19]). Consider the nonlinear BSDE: T. where ξ is an ᏲT -measurable random variable that will become certain only at the terminal time T, and f is a progressively measurable process. In [20], the authors showed that there exists a unique Ᏺt-adapted process (Y ,Z) solution of the BSDE (1.1), when the coefficient f is Lipschitz in y and z, ξ is square integrable.

Generalized BSDE driven by a Levy process
Preliminaries
Generalized BSDEs driven by a Levy process on a finite interval
Existence and uniqueness results for the GBSDEL on a random time interval
GBSDEL with a left-continuous coefficient
Application to PDIE

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