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Related papers: Quadratic Reflected BSDEs with Unbounded Obstacles

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We prove an existence and uniqueness result for Neumann boundary problem of a parabolic partial differential equation (PDE for short) with a singular nonlinear divergence term which can only be understood in a weak sense. A probabilistic…

Probability · Mathematics 2018-02-22 Xue Yang , Jing Zhang

This paper is intended to give a probabilistic representation for stochastic viscosity solution of semi-linear reflected stochastic partial differential equations with nonlinear Neumann boundary condition. We use it connection with…

Probability · Mathematics 2009-07-13 Auguste Aman , Naoual Mrhardy

This paper presents existence and uniqueness results for reflected backward doubly stochastic differential equations (in short RBDDSEs) in a convex domain D. Moreover, using a stochastic flow approach a probabilistic interpretation for a…

Probability · Mathematics 2016-10-11 Matoussi Anis , Sabbagh Wissal , Tusheng Zhang

This paper aims at solving one-dimensional backward stochastic differential equations (BSDEs) under weaker assumptions. We establish general existence, uniqueness, and comparison results for bounded solutions, $L^p (p>1)$ solutions and…

Probability · Mathematics 2015-08-12 ShengJun Fan

We consider reflected backward stochastic differential equations with two optional barriers of class (D) satisfying Mokobodzki's separation condition and coefficient which is only continuous and non-increasing. We assume that data are…

Probability · Mathematics 2021-12-02 Tomasz Klimsiak , Maurycy Rzymowski

In this paper, we consider a stochastic decision problem for a system governed by a stochastic differential equation, in which an optimal decision is made in such a way to minimize a vector-valued accumulated cost over a finite-time horizon…

Optimization and Control · Mathematics 2018-01-08 Getachew K. Befekadu

We give necessary and sufficient condition for existence and uniqueness of $\mathbb{L}^{p}$-solutions of reflected BSDEs with continuous barrier, generator monotone with respect to $y$ and Lipschitz continuous with respect to $z$, and with…

Probability · Mathematics 2018-10-09 Tomasz Klimsiak

In this paper we extend the notion of g-evaluation, in particular g-expectation, to the case where the generator g is allowed to have a quadratic growth. We show that some important properties of the g-expectations, including a…

Probability · Mathematics 2009-12-19 Jin Ma , Song Yao

This paper establishes the well-posedness of reflected backward stochastic differential equations in the non-convex domains that satisfy a weaker version of the star-shaped property. The main results are established (i) in a Markovian…

Probability · Mathematics 2021-02-15 Jean-François Chassagneux , Sergey Nadtochiy , Adrien Richou

In this paper, we provide an estimate for the solutions of reflected backward stochastic differential equations (RBSDEs) driven by a Markov chain, derive a continuous dependence property for their solutions with respect to the parameters of…

Probability · Mathematics 2015-05-14 Zhe Yang , Dimbinirina Ramarimbahoaka , Robert J. Elliott

In this paper, we introduce a new method to study the doubly reflected backward stochastic differential equation driven by G-Brownian motion (G-BSDE). Our approach involves approximating the solution through a family of penalized reflected…

Probability · Mathematics 2024-03-28 Hanwu Li , Ning Ning

We study supersolutions of a backward stochastic differential equation, the control processes of which are constrained to be continuous semimartingales of the form $dZ = {\Delta}dt + {\Gamma}dW$. The generator may depend on the…

Probability · Mathematics 2016-04-20 Gregor Heyne , Michael Kupper , Christoph Mainberger , Ludovic Tangpi

The present paper studies a kind of robust optimization problems with constraint. The problem is formulated through Backward Stochastic Differential Equations (BSDEs) with quadratic generators. A necessary condition is established for the…

Optimization and Control · Mathematics 2024-02-14 Peng Luo , Alexander Schied , Xiaole Xue

We study a system of Forward-Backward Stochastic Differential Equations (FBSDEs) with time-delayed generators. The forward process includes a reflection component expressed via a Stieltjes integral, while the backward process takes the form…

Probability · Mathematics 2026-01-23 Luca Di Persio , Matteo Garbelli , Adrian Zalinescu

We consider reflected backward stochastic differential equations, with two barriers, defined on probability spaces equipped with filtration satisfying only the usual assumptions of right continuity and completeness. As for barriers we…

Probability · Mathematics 2018-11-01 Mateusz Topolewski

In this paper we first study the penalization approximation of stochastic differential equations reflected in a domain which satisfies conditions (A) and (B) and prove that the sequence of solutions of the penalizing equations converges in…

Probability · Mathematics 2016-04-08 Jiagang Ren , Jing Wu

This paper is devoted to the existence, uniqueness and comparison theorem on unbounded solutions of a scalar backward stochastic differential equation (BSDE) whose generator grows (with respect to both unknown variables $y$ and $z$) in a…

Probability · Mathematics 2021-07-28 Shengjun Fan , Ying Hu , Shanjian Tang

This paper is devoted to proving a general invariant representation theorem for generators of general time interval backward stochastic differential equations, where the generator $g$ has a quadratic growth in the unknown variable $z$ and…

Probability · Mathematics 2021-11-12 Guangshuo Zhou , Fengjiao Du , Shengjun Fan

In this paper, we are concerned with the averaging problem for a class of forward-backward stochastic differential equations with reflection driven by G-Brownian motion (reflected G-FBSDEs), which corresponds to the singular perturbation…

Probability · Mathematics 2025-03-04 Mengyao Hou

We study penalization coupled with time discretization for decoupled Markovian doubly reflected BSDEs with obstacles \(p_b(t,X_t)\le Y_t\le p_w(t,X_t)\). The DRBSDE is approximated by a penalized BSDE with parameter \(\lambda\) and…

Probability · Mathematics 2026-04-13 Wonjae Lee , Hyungbin Park