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arXiv 0802.1646nlin.CD
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Fermi-Pasta-Ulam晶格中的混沌检测、环面维数确定和慢扩散预测

Detecting chaos, determining the dimensions of tori and predicting slow diffusion in Fermi--Pasta--Ulam lattices by the Generalized Alignment Index method

Charalampos Skokos, Tassos Bountis, Chris Antonopoulos

摘要:

最近提出的GALI方法用于快速检测混沌、确定规则运动的维数和预测多维哈密顿系统的慢扩散。我们提出了一个有效的计算GALI $_k$指数,它表示体积元素的$k$随机选择的偏离向量从一个给定的轨道,基于奇异值分解(SVD)算法。在正则轨道位于低维环面上的情况下,我们从理论上得到了GALI长时间行为的渐近估计,并进行了数值验证。GALI $_k$指数被应用于快速检测混沌振荡,识别低维环面的费米-Pasta-Ulam(FPU)晶格在低能量和预测弱扩散远离准周期运动,很久以前,它实际上是观察到的振荡。

英文摘要:

The recently introduced GALI method is used for rapidly detecting chaos, determining the dimensionality of regular motion and predicting slow diffusion in multi--dimensional Hamiltonian systems. We propose an efficient computation of the GALI$_k$ indices, which represent volume elements of $k$ randomly chosen deviation vectors from a given orbit, based on the Singular Value Decomposition (SVD) algorithm. We obtain theoretically and verify numerically asymptotic estimates of GALIs long--time behavior in the case of regular orbits lying on low--dimensional tori. The GALI$_k$ indices are applied to rapidly detect chaotic oscillations, identify low--dimensional tori of Fermi--Pasta--Ulam (FPU) lattices at low energies and predict weak diffusion away from quasiperiodic motion, long before it is actually observed in the oscillations.

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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