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A linear numerical scheme for nonlinear BSDEs with uniformly continuous coefficients
We attempt to present a new numerical approach to solve nonlinear backward stochastic differential equations. First, we present some definitions and theorems to obtain the condition, from which we can approximate the nonlinear term of the backward ...
Omid. S. Fard, Ali V. Kamyad
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A stochastic Gronwall inequality in random time horizon and its application to BSDE
In this paper, we introduce and prove a stochastic Gronwall inequality in an (unbounded) random time horizon. As an application, we prove a comparison theorem for backward stochastic differential equation (BSDE for short) with random terminal time under ...
Hun O, Mun-Chol Kim, Chol-Kyu Pak
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We deal with fractional mean field backwardWe deal with fractional mean field backward stochastic differential equations with hurst parameter $H\in (\frac{1}{2},1)$ when the coefficient $f$ satisfy a stochastic Lipschitz conditions, we prove the ...
Mostapha Abdelouahab Saouli
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Backward stochastic differential equations on manifolds [PDF]
47 pages To be published in ...
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Linear ForwardBackward Stochastic Differential Equations [PDF]
Theorems are proved establishing conditions for the solvability of a system of coupled linear forward-backward stochastic differential equations of the form \[ dX(t)= \bigl\{AX(t)+BY(t) +CZ(t)+Db(t)\bigr\}dt +\bigl \{A_1X(t) +B_1Y(t)+ C_1Z(t)+ D_1\sigma (t)\bigr\}dW(t), \] \[ dY(t)= \bigl\{ \widehat AX(t)+ \widehat BY(t)+ \widehat CZ(t)+ \widehat D ...
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Backward-Forward Stochastic Differential Equations
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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Generalized BDSDEs driven by fractional Brownian motion
This article deals with a class of generalized backward doubly stochastic differential equations driven by fractional Brownian motion with the Hurst parameter HH greater than 1/2.
Aidara Sadibou +2 more
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We study the optimal control problem of a controlled time-symmetric forward-backward doubly stochastic differential equation with initial-terminal state constraints. Applying the terminal perturbation method and Ekeland’s variation principle, a necessary
Shaolin Ji, Qingmeng Wei, Xiumin Zhang
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In this paper, we focus on a family of backward stochastic differential equations (BSDEs) with subdifferential operators that are driven by infinite-dimensional martingales. We shall show that the solution to such infinite-dimensional BSDEs exists and is
Pei Zhang +2 more
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