首页> 外文期刊>Mathematics and computers in simulation >Convergence and almost sure polynomial stability of the backward and forward-backward Euler methods for highly nonlinear pantograph stochastic differential equations
【24h】

Convergence and almost sure polynomial stability of the backward and forward-backward Euler methods for highly nonlinear pantograph stochastic differential equations

机译:高非线性受电弓随机微分方程向后和向前-向后欧拉方法的收敛性和几乎确定的多项式稳定性

获取原文
获取原文并翻译 | 示例
       

摘要

In this paper the backward Euler and forward–backward Euler methods for a class of highly nonlinear pantograph stochastic differential equations are considered. In that sense, convergence in probability on finite time intervals is established for the continuous forward–backward Euler solution, under certain nonlinear growth conditions. Under the same conditions, convergence in probability is proved for both discrete forward–backward and backward Euler methods. Additionally, under certain more restrictive conditions, which do not include the linear growth condition on the drift coefficient of the equation, it is proved that these solutions are globally a.s. asymptotically polynomially stable. Numerical examples are provided in order to illustrate theoretical results.
机译:本文考虑了一类高度非线性的受电弓随机微分方程的向后欧拉方法和正向向后欧拉方法。从这个意义上讲,在某些非线性增长条件下,对于连续的前后欧拉解,在有限的时间间隔上建立了概率收敛。在相同条件下,离散的前后向和后向欧拉方法都证明了概率收敛。另外,在某些更严格的条件下(不包括方程漂移系数的线性增长条件),证明了这些解是全局a.s.的。渐近多项式稳定的。提供数值示例以说明理论结果。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号