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$\mathbb{L}^p$-solutions $(1 <p< 2)$ for reflected BSDEs with general jumps and stochastic monotone generators

Badr Elmansouri, Mohamed El Otmani, Mohamed Marzougue

TL;DR

This work establishes the existence and uniqueness of $\mathbb{L}^p$-solutions for one-dimensional reflected BSDEs with jumps (RBSDEJs) in a Brownian-plus-Poisson framework for $p\in(1,2)$. It handles a general RCLL obstacle and a driver that is stochastically monotone in the state variable and stochastically Lipschitz in $(z,u)$, under suitable linear-growth and integrability conditions. The authors develop a two-pronged approach: first, a penalization method for the case when the driver does not depend on $(z,u)$ to obtain a priori estimates and existence, and then a fixed-point argument to address the full problem where $f$ depends on $(z,u)$. The results advance the theory of $\mathbb{L}^p$-solutions for RBSDEJs with monotone generators and general obstacles, with potential applications to stochastic control, finance, and nonlinear PDEs via probabilistic representations.

Abstract

We consider a one-reflected backward stochastic differential equation with a general RCLL barrier in a filtration that supports a Brownian motion and an independent Poisson random measure. We establish the existence and uniqueness of a solution in $\mathbb{L}^p$ for $p \in (1,2)$. The result is obtained by means of the penalization method, under the assumption that the coefficient is stochastically monotone with respect to the state variable $y$, stochastically Lipschitz with respect to the control variables $(z,u)$, and satisfies suitable linear growth and $p$-integrability conditions.

$\mathbb{L}^p$-solutions $(1 <p< 2)$ for reflected BSDEs with general jumps and stochastic monotone generators

TL;DR

This work establishes the existence and uniqueness of -solutions for one-dimensional reflected BSDEs with jumps (RBSDEJs) in a Brownian-plus-Poisson framework for . It handles a general RCLL obstacle and a driver that is stochastically monotone in the state variable and stochastically Lipschitz in , under suitable linear-growth and integrability conditions. The authors develop a two-pronged approach: first, a penalization method for the case when the driver does not depend on to obtain a priori estimates and existence, and then a fixed-point argument to address the full problem where depends on . The results advance the theory of -solutions for RBSDEJs with monotone generators and general obstacles, with potential applications to stochastic control, finance, and nonlinear PDEs via probabilistic representations.

Abstract

We consider a one-reflected backward stochastic differential equation with a general RCLL barrier in a filtration that supports a Brownian motion and an independent Poisson random measure. We establish the existence and uniqueness of a solution in for . The result is obtained by means of the penalization method, under the assumption that the coefficient is stochastically monotone with respect to the state variable , stochastically Lipschitz with respect to the control variables , and satisfies suitable linear growth and -integrability conditions.

Paper Structure

This paper contains 8 sections, 10 theorems, 126 equations.

Key Result

Lemma 4

We consider the $\mathbb{R}$-valued semimartingale $(X_t)_{t\leq T}$ defined by such that: Then, for any $p\geq 1$ there exists a continuous and non-decreasing process $(\ell_t)_{t\leq T}$ such that where $c(p):=\frac{p(p-1)}{2}$ and $(\ell_t)_{t\leq T}$ is a continuous, non-decreasing process that increases only on the boundary of the random set $\{t\leq T,\;\; X_{t-}=X_t=0\}$.

Theorems & Definitions (14)

  • Definition 1
  • Remark 2
  • Remark 3
  • Lemma 4
  • Corollary 5
  • Lemma 6
  • Remark 7
  • Lemma 8
  • Proposition 9
  • Proposition 10
  • ...and 4 more