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Open AccessJournal ArticleDOI

Backward stochastic differential equations with reflection and Dynkin games

Jakša Cvitanić, +1 more
- 01 Oct 1996 - 
- Vol. 24, Iss: 4, pp 2024-2056
TLDR
In this article, the authors established existence and uniqueness results for adapted solutions of backward stochastic differential equations with two reflecting barriers, generalizing the work of El Karoui, Kapoudjian, Pardoux, Peng and Quenez.
Abstract
We establish existence and uniqueness results for adapted solutions of backward stochastic differential equations (BSDE's) with two reflecting barriers, generalizing the work of El Karoui, Kapoudjian, Pardoux, Peng and Quenez. Existence is proved first by solving a related pair of coupled optimal stopping problems, and then, under different conditions, via a penalization method. It is also shown that the solution coincides with the value of a certain Dynkin game, a stochastic game of optimal stopping. Moreover, the connection with the backward SDE enables us to provide a pathwise (deterministic) approach to the game.

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BSDEs and risk-sensitive control, zero-sum and nonzero-sum game problems of stochastic functional differential equations

TL;DR: In this article, the authors deal with the risk-sensitive control, zero-sum and non-zero-sum game problems of stochastic functional differential equations, and they show the existence of an optimal control and, a saddle-point and an equilibrium point for respectively the zero sum and non zero sum games.
References
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Book

Brownian Motion and Stochastic Calculus

TL;DR: In this paper, the authors present a characterization of continuous local martingales with respect to Brownian motion in terms of Markov properties, including the strong Markov property, and a generalized version of the Ito rule.
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TL;DR: In this article, the authors consider non-convex variational problems with a priori estimate in convex programming and show that they can be solved by the minimax theorem.
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Linear Operators. Part I: General Theory.

TL;DR: Dunford and Schwartz as discussed by the authors provided a comprehensive survey of the general theory of linear operations, together with applications to the diverse fields of more classical analysis, and emphasized the significance of the relationships between the abstract theory and its applications.
Journal ArticleDOI

Adapted solution of a backward stochastic differential equation

TL;DR: In this paper, the authors considered the problem of finding an adapted pair of processes with values in Rd and Rd×k, respectively, which solves an equation of the form: x(t) + ∫ t 1 f(s, x(s), y(s)) ds + ∪ t 1 [g(m, x, s, g(m)) + y(m)] dW s = X.
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