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arXiv 1501.02459cond-mat.stat-mech
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标准映射:从Boltzmann-Gibbs统计到Tsallis统计

The standard map: From Boltzmann-Gibbs statistics to Tsallis statistics

Ugur Tirnakli, Ernesto P. Borges

摘要:

众所周知,Boltzmann-Gibbs统计量是热统计逼近遍历系统的正确方法。另一方面,非平凡的遍历性崩溃和强相关性通常会将系统拖入非平衡态,此时玻尔兹曼-吉布斯统计失效。对于广泛的一类这样的系统,近年来已经证明,正确的方法是使用Tsallis统计量。在这里,我们展示了如何动态的范式保守(面积保持)的标准地图展品,在一个非常清晰的方式,从一个统计到其他的交叉。我们的研究结果明确地说明了域的有效性玻尔兹曼-吉布斯和Tsallis统计。

英文摘要:

As well known, Boltzmann-Gibbs statistics is the correct way of thermostatistically approaching ergodic systems. On the other hand, nontrivial ergodicity breakdown and strong correlations typically drag the system into out-of-equilibrium states where Boltzmann-Gibbs statistics fails. For a wide class of such systems, it has been shown in recent years that the correct approach is to use Tsallis statistics instead. Here we show how the dynamics of the paradigmatic conservative (area-preserving) standard map exhibits, in an exceptionally clear manner, the crossing from one statistics to the other. Our results unambiguously illustrate the domains of validity of both Boltzmann-Gibbs and Tsallis statistics.

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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