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Infinite horizon reflected backward stochastic differential equations with Markov chains

机译:马尔可夫链的无限层反射倒向随机微分方程

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摘要

We first give the existence and uniqueness results for infinite horizon backward stochastic differential equations with Markov chains, taking advantage of the martingale representation theorem and fixed point principle. Then we prove the well-posedness results for infinite horizon reflected backward stochastic differential equations with Markov chains, by virtue of the Snell envelope theory and contraction mapping method. Comparison theorems for the above two kinds of equations are also obtained, via the linearization approach or properties of reflected backward stochastic differential equations, respectively.
机译:首先,利用the表示法和不动点原理,给出了具有马尔可夫链的无限层后向随机微分方程的存在性和唯一性结果。然后,利用斯涅尔包络理论和压缩映射方法,证明了具有马尔可夫链的无限水平反射倒向随机微分方程的适定性结果。分别通过线性化方法或反射后向随机微分方程的性质,还获得了上述两种方程的比较定理。

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