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arXiv 2204.13655nlin.CDcond-mat.stat-mechhep-thmath.DS
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线性混沌映射中的关联函数

Correlation functions in linear chaotic maps

Xu-Yao Hu, Vladimir Rosenhaus

摘要:

混沌映射最简单的例子是在圆、环面或环面积上的线性、面积保持映射;分别被称为伯努利映射、猫映射和最近引入的“时空”猫映射。我们研究了这些映射中的关联函数。对于伯努利映射,我们以各种方式计算关联函数:通过直接计算积分,通过傅立叶级数,通过符号动力学,并通过周期轨道。与Perron-Frobenius算子的本征函数的更标准的处理有关,这些方法中的一些更简单,并且还扩展到多点关联函数。对于猫映射,我们通过傅立叶展开计算关联函数,回顾和扩展Crawford和Cary对两点函数的先验处理,并讨论跟踪的局限性。最后,时空猫映射-打算成为一个模型的多体混沌-我们表明,连接关联函数的本地运营商消失。

英文摘要:

The simplest examples of chaotic maps are linear, area-preserving maps on the circle, torus, or product of tori; respectively known as the Bernoulli map, the cat map, and the recently introduced "spatiotemporal" cat map. We study correlation functions in these maps. For the Bernoulli map, we compute the correlation functions in a variety of ways: by direct computation of the integral, through Fourier series, through symbolic dynamics, and through periodic orbits. In relation to the more standard treatment in terms of eigenfunctions of the Perron-Frobenius operator, some of these methods are simpler and also extend to multipoint correlation functions. For the cat map, we compute correlation functions through a Fourier expansion, review and expand on a prior treatment of two-point functions by Crawford and Cary, and discuss the limitations of shadowing. Finally, for the spatiotemporal cat map -- intended to be a model of many-body chaos -- we show that connected correlation functions of local operators vanish.

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