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Anticipated backward stochastic differential equations with jumps under the non-Lipschitz condition

机译:非Lipschitz条件下带跳的预期后向随机微分方程

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摘要

This paper deals with a class of anticipated backward stochastic differential equations with Poisson jumps (ABSDEJs). We first show that there is a duality between anticipated backward stochastic differential equations with jumps and stochastic differential delay equations with jumps (SDDEJs). Then, we prove the existence and uniqueness of adapted solutions and Lp solutions for such ABSDEJs under the non-Lipschitz conditions as well as a comparison theorem is obtained through constructing some iterative equations which are different from iterative equations in Peng and Yang (2009).
机译:本文研究了一类带有泊松跳跃(ABSDEJs)的预期后向随机微分方程。我们首先表明,预期的具有跳跃的后向随机微分方程和具有跳跃的随机微分延迟方程之间存在对偶性。然后,我们证明了在非Lipschitz条件下此类ABSDEJ的自适应解和Lp解的存在性和唯一性,并通过构造与Peng和Yang(2009)中的迭代方程不同的迭代方程获得了比较定理。

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