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存储的随机动态系统中的密度演变:一种通用算法

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  • 1School of Mathematics and Statistics, Huazhong University of Science and Technology, Wuhan 430074, Hubei, China.

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概括
此摘要是机器生成的。

本研究介绍了一种通用方法,用于计算存储的随机动态系统中的概率密度演变. 计算效率高的方法使用来自欧勒方案的离散模型,使得更广泛的应用.

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科学领域:

  • 动态系统和混沌理论
  • 计算数学 计算数学 计算数学
  • 气候科学 气候科学

背景情况:

  • 具有内存的随机动态系统通常使用随机函数微分方程 (SFDE) 建模.
  • 在SFDE中量化概率密度演变对于实际应用至关重要,但由于缺乏高效的计算方法,仍然具有挑战性.
  • SFDE的一般形式限制了它们的广泛应用.

研究的目的:

  • 提出一种通用且计算效率高的方法,用于计算具有内存的随机动态系统的广泛类别中的概率密度演变.
  • 克服 SFDE 缺乏有效方法所造成的限制.
  • 为了使这些复杂的系统能够得到更广泛的实际应用.

主要方法:

  • 随机函数方程的近似,使用从欧勒方案衍生的离散模型.
  • 通过计算离散对应的密度来递归估计概率密度.
  • 拟议的方法是决定性的,并且在计算上高效.

主要成果:

  • 成功计算了具有内存的随机动态系统的短暂和长期概率密度演变.
  • 证明了新方法的有效性和效率.
  • 在典型气候模型上验证了该方法.

结论:

  • 开发的通用方法提供了一种高效和确定性的方法,用于计算存储的随机动态系统中的概率密度演变.
  • 这种方法显著扩大了SFDE在各种科学领域的适用性,包括气候建模.
  • 这种方法提供了一个强大的工具来分析复杂的系统,其中记忆效应是显著的.