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Updated: Sep 11, 2025

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非马尔科夫的随机电报过程与任意非局部内存
S S Melnyk1, O V Usatenko1,2,3, V A Yampol'skii1,4
1O. Ya. Usikov Institute for Radiophysics and Electronics NASU, 61085 Kharkiv, Ukraine.
Physical review. E
|August 19, 2025
概括
我们介绍了一种用于在随机过程中解决记忆函数的新分析方法. 这种方法揭示了在静止电报过程中对对应函数的两个不同的行为.
科学领域:
- * 随机过程是指随机过程.
- * 统计物理学的统计物理.
- * 数学建模 * 数学建模
背景情况:
- *随机二分法过程与记忆在建模复杂系统中至关重要.
- *非局部记忆效应,即未来取决于过去的加权积分,存在独特的分析挑战.
研究的目的:
- * 开发一种分析方法来解决与记忆有关的过程的整微分方程.
- * 为了研究具有指数记忆力的电报过程的静止条件.
- * 在此类过程中描述对相关函数的行为.
主要方法:
- * 为整微分方程开发一种新的分析封闭式解法.
- *分析特定记忆功能的静止条件 (指数式).
- *对相关函数的导出和分析.
主要成果:
- * 为记忆和对相关函数之间的关系建立了分析封闭式解决方案.
- * 确定了指数式记忆电报过程的静止条件.
- *对相关函数表现出两种不同的形式:指数衰减或减弱振荡.
结论:
- * 提出的方法提供了一个强大的工具,用于分析随机过程与内存.
- *这些发现提供了对电报过程的统计性质的更深入的理解.
- *对相关函数的双重性突出了内存引入的复杂动态.
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