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arXiv 1707.04569nlin.CD
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混沌中的稳定性

Stability in Chaos

Greg Huber, Marc Pradas, Alain Pumir, Michael Wilkinson

摘要:

轨迹的内在不稳定性是混沌动力系统的特征。我们在这里报告的轨迹可以表现出令人惊讶的高度的稳定性,在很长一段时间内,在一个混沌动力系统。我们使用大偏差理论对湍流中惯性颗粒的一维模型的这种效应进行了详细的定量描述。具体而言,确定的熵函数的分布的有限时间李雅普诺夫指数减少到分析的薛定谔方程,这是解决了半经典的方法。

英文摘要:

Intrinsic instability of trajectories characterizes chaotic dynamical systems. We report here that trajectories can exhibit a surprisingly high degree of stability, over a very long time, in a chaotic dynamical system. We provide a detailed quantitative description of this effect for a one-dimensional model of inertial particles in a turbulent flow using large-deviation theory. Specifically, the determination of the entropy function for the distribution of finite-time Lyapunov exponents reduces to the analysis of a Schrödinger equation, which is tackled by semi-classical methods.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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