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Complexity Methods Used in the Study of Some Real Systems with Weak Characteristic Properties

机译:具有薄弱特性特性的一些真实系统的复杂性方法

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Tsallis statistical analysis and other possible use of q-functions are considered here in the study of some real systems where the observed data are scarce or a typical characteristic property is not significant. The analysis is performed for some systems concerning opinion formation, hydrologic data, financial series etc. Here, Tsallis q-triplet is used to assist the identification of the most appropriate distribution, and in another case we consider q-entropy optimization in the study of mixed states of the system. Next, we propose to extend the idea of the distance from the stationary state indicated by q-stationary parameter in Tsallis statistics, assuming that the distance from a proper regime could be expressed by a corresponding q-function. Therefore an ad hoc q-log-periodic form is introduced to describe the near to log-periodic behavior.
机译:Tsallis统计分析和其他可能使用Q函数在这里考虑在研究观察到的数据稀缺或典型特征性的实际系统中的研究中。对某些关于某些有关意见地层的系统进行分析,在此处,Tsallis Q-Triplet用于识别最适当的分布,并且在另一种情况下我们考虑在研究中进行Q熵优化系统的混合状态。接下来,我们建议将Q-静止参数在TSAllis统计中所示的静止状态的距离扩展到概念,假设可以通过相应的Q函数表示与适当的制度的距离。因此,引入了ad hoc q-log-hegionic形式以描述近乎记录定期行为。

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