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Related papers: Mean-Field Delayed BSDEs with Jumps

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We establish sufficient conditions for the existence and uniqueness of different types of delayed BSDEs in finite time horizon. We consider then infinite horizon, replacing the terminal value condition in the finite horizon case with a…

Optimization and Control · Mathematics 2015-09-30 Nacira Agram , Elin Engen Røse

In this paper we prove some uniqueness results for quadratic backward stochastic differential equations without any convexity assumptions on the generator. The bounded case is revisited while some new results are obtained in the unbounded…

Probability · Mathematics 2020-08-26 Philippe Briand , Adrien Richou

In this paper, we introduce a new type of backward stochastic differential equations (BSDEs) with infinite anticipation, where the generator depends on the entire future values of the solution in infinite horizon. We show that the new BSDEs…

Probability · Mathematics 2025-11-20 Guanwei Cheng , Shuzhen Yang

This paper is devoted to the existence, uniqueness and comparison theorem on unbounded solutions of one-dimensional backward stochastic differential equations (BSDEs) with sub-quadratic generators, where the terminal time is allowed to be…

Probability · Mathematics 2024-06-11 Chuang Gu , Yan Wang , Shengjun Fan

This paper establishes a new existence and uniqueness result of solutions for multidimensional backward stochastic differential equations (BSDEs) whose generators satisfy a weak monotonicity condition and a general growth condition in $y$,…

Probability · Mathematics 2014-02-28 ShaoYa Xu , ShengJun Fan

We prove the existence and uniqueness of the solution of a BSDE with time-delayed generators in the small delay setting (or equivalently small Lipschitz constant), which employs the Stieltjes integral with respect to an increasing…

Probability · Mathematics 2025-11-26 Luca Di Persio , Matteo Garbelli , Lucian Maticiuc , Adrian Zălinescu

In this paper, we obtain stability results for backward stochastic differential equations with jumps (BSDEs) in a very general framework. More specifically, we consider a convergent sequence of standard data, each associated to their own…

Probability · Mathematics 2023-04-06 Antonis Papapantoleon , Dylan Possamaï , Alexandros Saplaouras

In this paper, we analyze mean-field reflected backward stochastic differential equations when the driver has quadratic growth in the second unknown $z$. Using linearization technique and BMO martingale theory, we first apply fixed point…

Probability · Mathematics 2022-02-16 Ying Hu , Remi Moreau , Falei Wang

The purpose of this paper is to investigate general mean-field backward stochastic differential equations (MFBSDEs) in multi-dimension with diagonally quadratic generators $f(\omega,t,y,z,\mu)$, that is, the coefficients depend not only on…

Probability · Mathematics 2023-10-24 Weimin Jiang , Juan Li , Qingmeng Wei

In this paper we consider two classes of backward stochastic differential equations. Firstly, under a Lipschitz-type condition on the generator of the equation, which can also be unbounded, we give sufficient conditions for the existence of…

Probability · Mathematics 2018-03-08 Bujar Gashi , Jiajie Li

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

For a backward stochastic differential equation (BSDE, for short), when the generator is not progressively measurable, it might not admit adapted solutions, shown by an example. However, for backward stochastic Volterra integral equations…

Probability · Mathematics 2022-06-28 Hanxiao Wang , Jiongmin Yong , Chao Zhou

The problem of finding a martingale on a manifold with a fixed random terminal value can be solved by considering BSDEs with a generator with quadratic growth. We study here a generalization of these equations and we give uniqueness and…

Probability · Mathematics 2007-05-23 Fabrice Blache

In this paper, we study general mean-field backward stochastic differential equations (BSDEs, for short) with quadratic growth. First, the existence and uniqueness of local and global solutions are proved with some new ideas for a…

Probability · Mathematics 2024-02-02 Tao Hao , Ying Hu , Shanjian Tang , Jiaqiang Wen

This paper establishes an existence and uniqueness result for the adapted solution of a general time interval multidimensional backward stochastic differential equation (BSDE), where the generator $g$ satisfies a weak…

Probability · Mathematics 2019-11-27 Tingting Li , Ziheng Xu , Shengjun Fan

In this paper, we study the solvability of anticipated backward stochastic differential equations (BSDEs, for short) with quadratic growth for one-dimensional case and multi-dimensional case. In these BSDEs, the generator, which is of…

Probability · Mathematics 2019-09-25 Ying Hu , Xun Li , Jiaqiang Wen

In [5] the authors obtained Mean-Field backward stochastic differential equations (BSDE) associated with a Mean-field stochastic differential equation (SDE) in a natural way as limit of some highly dimensional system of forward and backward…

Probability · Mathematics 2007-11-21 Rainer Buckdahn , Juan Li , Shige Peng

In this article, we prove the existence of bounded solutions of quadratic backward SDEs with jumps, that is to say for which the generator has quadratic growth in the variables (z,u). From a technical point of view, we use a direct fixed…

Probability · Mathematics 2014-03-07 M. Nabil Kazi-Tani , Dylan Possamaï , Chao Zhou

We consider a stochastic delay differential equation driven by a Holder continuous process and a Wiener process. Under fairly general assumptions on its coefficients, we prove that this equation is uniquely solvable. We also give sufficient…

Probability · Mathematics 2013-10-09 Georgiy Shevchenko

In this paper, we analyze the mean field backward stochastic differential equations (MFBSDEs) with double mean reflections, whose generator and constraints both depend on the distribution of the solution. When the generator is Lipschitz…

Probability · Mathematics 2026-01-12 Hanwu Li , Jin Shi