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Double merging of phase space for differential equations with small stochastic supplements under Levi and Poisson approximation conditions

机译:Levi和Poisson近似条件下具有小随机补充剂的微分方程的双相空间的双倍合并

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The paper is devoted to the study of limit theorems of evolving evolutionary systems of "particles" in random environment. Here the term "particle" is used broadly to include moleculas in the infected individuals considered in epidemie models, species in logistie growth models, age classes of population in demographics models, etc. The evolutionary system is complicated by the influence of impulse perturbation and non-trivial structure of the random environment. Namely, the the switching Markov process has a split phase space of states. We propose a new approach in construction of the approximation scheme for the impulse perturbation that allows not only to see the averaged and diffusion component of the limit process, but also to preserve Poisson jumps that models catastrophic events like mass extinction, earthquakes, etc. We discuss limit behavior of the generators of the evolutionary systems that allows not only to claim convergence of corresponding distributions, but to use the results obtained for solving the problems of stability and dissipativity of the limit processes.
机译:本文致力于在随机环境中“粒子”进化进化系统的限制定理研究。这里,术语“颗粒”广泛用于包括在流行模型中考虑的受感染的个体中的分子,在Logistie成长模型中的物种,人口统计模型中的年龄阶级等。进化系统因脉冲扰动和非影响的影响而变得复杂化 - 随机环境的增长结构。即,切换马尔可夫进程具有状态的分离阶段空间。我们提出了一种建设近似方案的新方法,允许不仅可以看到限制过程的平均和扩散分量,而且还要保存泊松跳,这些跳跃模拟了大众灭绝,地震等灾难性事件讨论进化系统的发电机的限制行为,其允许不仅可以要求相应的分布的收敛,而是使用获得的结果来解决极限过程的稳定性问题和耗散性的结果。

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