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arXiv 1507.04255nlin.CDcond-mat.stat-mech
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弱混沌、无限遍历理论和反常动力学

Weak chaos, infinite ergodic theory, and anomalous dynamics

Rainer Klages

摘要:

本书第一章介绍了弱混沌的概念,各方面的遍历理论描述,以及与之相关的异常动力学的性质。在本章的前半部分,我们研究了简单的一维确定性映射,在后半部分基本的随机模型,并最终实验。我们首先提醒读者基本的混沌量和它们之间的关系,例证了范式伯努利位移。使用间歇Pomeau-Manneville映射的问题弱混沌和无限遍历理论的概述,定义了一个非常新的数学研究领域。考虑Pomeau-Manneville映射的空间扩展版本导致我们的反常扩散现象。这个问题将讨论应用随机连续时间随机游动理论和推导分数阶扩散方程。现代非平衡统计物理学中的另一个重要课题是涨落关系,我们研究反常动力学。本章的结论是通过显示异常动力学的重要性,了解生物细胞迁移的实验结果。

英文摘要:

This book chapter introduces to the concept of weak chaos, aspects of its ergodic theory description, and properties of the anomalous dynamics associated with it. In the first half of the chapter we study simple one-dimensional deterministic maps, in the second half basic stochastic models and eventually an experiment. We start by reminding the reader of fundamental chaos quantities and their relation to each other, exemplified by the paradigmatic Bernoulli shift. Using the intermittent Pomeau-Manneville map the problem of weak chaos and infinite ergodic theory is outlined, defining a very recent mathematical field of research. Considering a spatially extended version of the Pomeau-Manneville map leads us to the phenomenon of anomalous diffusion. This problem will be discussed by applying stochastic continuous time random walk theory and by deriving a fractional diffusion equation. Another important topic within modern nonequilibrium statistical physics are fluctuation relations, which we investigate for anomalous dynamics. The chapter concludes by showing the importance of anomalous dynamics for understanding experimental results on biological cell migration.

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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