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在自然循环循环中,随机性对初始的瞬态和混乱的流动性的影响
1Purdue University, School of Nuclear Engineering, Lambertus Hall, 363 North Grant Street, West Lafayette, Indiana 47907, USA.
Physical review. E
|November 18, 2025
概括
在混乱系统上的随机强迫平均会加速混乱的瞬态. 对于这个系统和洛伦茨系统,混乱的漫游的马尔科夫模型被认为是无效的.
科学领域:
- * 动态系统理论 动态系统理论
- * 流体动力学 流体动力学
- * 非线性动力学
背景情况:
- * 随机强迫可以改变靠近分叉的动态系统的行为.
- *以前的研究集中在稳定系统上;本研究考察了已经处于混乱状态的系统.
研究的目的:
- * 调查随机强迫对在混乱吸引器上演变的系统的影响.
- * 为了比较马尔科夫和状态独立模型的流诱导的随机性.
- * 验证混沌漫游模型.
主要方法:
- * 发展马尔科夫和状态独立模型,用于动诱导的随机性.
- *将模型应用于混乱状态下的自然循环循环并进行比较.
- * 分析混乱流动系统中的系统,包括洛伦茨系统.
主要成果:
- * 随机性增加了混乱的短暂持续时间的不确定性,但平均而言加速了它.
- * 欧恩斯坦-乌伦贝克模型与直接数值模拟结果相匹配.
- * 常用的马尔科夫模型用于混乱的流浪被证明是无效的研究系统和洛伦茨系统.
结论:
- * 随机强迫显著影响混乱的动态,特别是短暂的持续时间.
- * 奥恩斯坦-乌伦贝克模型有效地捕捉了动荡波动.
- * 马尔科夫模型的无效性需要修改分析混乱漫游的方法.
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