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RBSDE's with jumps and the related obstacle problems for integral-partial differential equations

机译:积分偏微分方程的带跳的RBSDE和相关的障碍问题

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摘要

The author proves, when the noise is driven by a Brownian motion and an independent Poisson random measure, the one-dimensional reflected backward stochastic differential equation with a stopping time terminal has a unique solution. And in a Markovian framework, the solution can provide a probabilistic interpretation for the obstacle problem for the integral-partial differential equation.
机译:作者证明,当噪声是由布朗运动和独立的泊松随机度量驱动时,具有停止时间终端的一维反射后向随机微分方程具有独特的解决方案。并且在马尔可夫框架中,该解可以为积分-偏微分方程的障碍问题提供概率解释。

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