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相关论文: Backward Stochastic Differential Equations with Ma…

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We consider backward stochastic differential equations (BSDEs) related to finite state, continuous time Markov chains. We show that appropriate solutions exist for arbitrary terminal conditions, and are unique up to sets of measure zero. We…

概率论 · 数学 2008-10-01 Samuel N. Cohen , Robert J. Elliott

This paper considers the problem of uniqueness of the solutions to a class of Markovian backward stochastic differential equations (BSDEs) which are also connected to certain nonlinear partial differential equation (PDE) through a…

概率论 · 数学 2012-11-06 Coskun Cetin

We consider ergodic backward stochastic differential equations, in a setting where noise is generated by a countable state uniformly ergodic Markov chain. We show that for Lipschitz drivers such that a comparison theorem holds, these…

概率论 · 数学 2012-07-25 Samuel N. Cohen , Ying Hu

We consider some certain nonlinear perturbations of the stochastic linear-quadratic optimization problems and study the connections between their solutions and the corresponding Markovian backward stochastic diferential equations (BSDEs).…

最优化与控制 · 数学 2013-01-01 Coskun Cetin

We study (backward) stochastic differential equations with noise coming from a finite state Markov chain. We show that, for the solutions of these equations to be `Markovian', in the sense that they are deterministic functions of the state…

概率论 · 数学 2011-11-28 Samuel N. Cohen , Lukasz Szpruch

In this paper we study backward stochastic differential equations (BSDEs) driven by the compensated random measure associated to a given pure jump Markov process X on a general state space K. We apply these results to prove well-posedness…

概率论 · 数学 2013-02-05 Fulvia Confortola , Marco Fuhrman

In this paper, we deal with a class of mean-field backward stochastic differential equations (BSDEs) related to finite state, continuous time Markov chains. We obtain the existence and uniqueness theorem and a comparison theorem for…

概率论 · 数学 2015-01-06 Wen Lu , Yong Ren

We consider Backward Stochastic Differential Equations in a setting where noise is generated by a countable state, continuous time Markov chain, and the terminal value is prescribed at a stopping time. We show that, given sufficient…

概率论 · 数学 2013-02-20 Samuel N. Cohen

We consider ergodic backward stochastic differential equations in a discrete time setting, where noise is generated by a finite state Markov chain. We show existence and uniqueness of solutions, along with a comparison theorem. To obtain…

概率论 · 数学 2015-09-02 Andrew L. Allan , Samuel N. Cohen

We discuss a class of Backward Stochastic Differential Equations(BSDEs) with no driving martingale. When the randomness of the driver depends on a general Markov process $X$, those BSDEs are denominated Markovian BSDEs and can be associated…

概率论 · 数学 2017-12-29 Adrien Barrasso , Francesco Russo

We establish existence and uniqueness for a wide class of Markovian systems of backward stochastic differential equations (BSDE) with quadratic nonlinearities. This class is characterized by an abstract structural assumption on the…

概率论 · 数学 2017-03-10 Hao Xing , Gordan Žitković

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…

概率论 · 数学 2015-05-14 Zhe Yang , Dimbinirina Ramarimbahoaka , Robert J. Elliott

We address a general optimal switching problem over finite horizon for a stochastic system described by a differential equation driven by Brownian motion. The main novelty is the fact that we allow for infinitely many modes (or regimes,…

最优化与控制 · 数学 2019-08-07 Marco Fuhrman , Marie-Amélie Morlais

This article deals with the numerical approximation of Markovian backward stochastic differential equations (BSDEs) with generators of quadratic growth with respect to $z$ and bounded terminal conditions. We first study a slight…

概率论 · 数学 2016-02-05 Jean-François Chassagneux , Adrien Richou

We investigate a class of quadratic backward stochastic differential equations (BSDEs) with generators singular in $ y $. First, we establish the existence of solutions and a comparison theorem, thereby extending results in the literature.…

概率论 · 数学 2025-03-17 Wenbo Wang , Guangyan Jia

We study the long-term qualitative behavior of randomly perturbed dynamical systems. More specifically, we look at limit cycles of stochastic differential equations (SDE) with Markovian switching, in which the process switches at random…

概率论 · 数学 2024-07-10 Nguyen H. Du , Alexandru Hening , Dang H. Nguyen , George Yin

(Working Paper) Using a purely probabilistic argument, we prove the global well-posedness of multidimensional superquadratic backward stochastic differential equations (BSDEs) without Markovian assumption. The key technique is the interplay…

概率论 · 数学 2022-01-21 Kihun Nam

In this paper we study a class of combined regular and singular stochastic control problems that can be expressed as constrained BSDEs. In the Markovian case, this reduces to a characterization through a PDE with gradient constraint. But…

最优化与控制 · 数学 2018-01-11 Bruno Bouchard , Patrick Cheridito , Ying Hu

We discuss an open-loop backward Stackelberg differential game involving single leader and single follower. Unlike most Stackelberg game literature, the state to be controlled is characterized by a backward stochastic differential equation…

最优化与控制 · 数学 2021-04-06 Xinwei Feng , Ying Hu , Jianhui Huang

In this paper we consider a class of BSDEs with drivers of quadratic growth, on a stochastic basis generated by continuous local martingales. We first derive the Markov property of a forward--backward system (FBSDE) if the generating…

概率论 · 数学 2012-03-08 Peter Imkeller , Anthony Réveillac , Anja Richter
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