...
首页> 外文期刊>Mathematical Computation >Almost Sure Stability of the Weak Backward Euler-Maruyama Method for the Stochastic Lotka-Volterra Model in One Dimension
【24h】

Almost Sure Stability of the Weak Backward Euler-Maruyama Method for the Stochastic Lotka-Volterra Model in One Dimension

机译:一维随机Lotka-Volterra模型的弱向后Euler-Maruyama方法的几乎确定的稳定性

获取原文
           

摘要

The almost sure exponential stability of the weak backward Euler-Maruyama (EM) method is discussed for the stochastic version of the Lotka-Volterra model in one dimension. As the nonlinear term exists in the drift coefficient, the explicit Euler-Maruyama method is not a good candidate [6]. The backward EM method is normally a naturally replacement in the nonlinear case, but we show that in this model the backward EM method may not be well defined. Then we turn to the weak backward EM method, in which the normal distribution is replaced by a two-point distribution, and we prove that this method can reproduce the almost sure exponential stability of the underlying model.
机译:对于一维Lotka-Volterra模型的随机版本,讨论了弱后向Euler-Maruyama(EM)方法的几乎确定的指数稳定性。由于漂移项中存在非线性项,因此显式的Euler-Maruyama方法不是一个好的选择[6]。在非线性情况下,后向EM方法通常是自然的替代方法,但是我们证明了在此模型中,后向EM方法可能没有得到很好的定义。然后,我们转向弱后向EM方法,其中用两点分布代替正态分布,并且证明了该方法可以重现基础模型的几乎确定的指数稳定性。

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