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Numerical Solutions of Stochastic Differential Delay Equations with Poisson Random Measure under the Generalized Khasminskii-Type Conditions

机译:广义Khasminskii型条件下泊松随机测量随机差速延迟方程的数值解

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The Euler method is introduced for stochastic differential delay equations (SDDEs) with Poisson random measure under the generalized Khasminskii-type conditions which cover more classes of such equations than before. The main aims of this paper are to prove the existence of global solutions to such equations and then to investigate the convergence of the Euler method in probability under the generalized Khasminskii-type conditions. Numerical example is given to indicate our results.
机译:在广义的KHASMINSKII型条件下,引入了随机差动延迟方程(SDDES)的随机差动延迟方程(SDDE),其覆盖了比以前更多的这种等式等级的泊松随机测量。本文的主要目的是证明存在全局解决方案的溶液,然后探讨欧拉方法在广义的Khasminskii型条件下的概率中的收敛性。给出了数值例子来表明我们的结果。

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