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arXiv 1003.2232cond-mat.stat-mech
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累积量展开的推广。尺度不变概率模型的应用

A generalization of the cumulant expansion. Application to a scale-invariant probabilistic model

Antonio Rodriguez, Constantino Tsallis

摘要:

众所周知,累积量展开是矩展开的一种替代方法,可以完全表征所有矩存在的概率分布。如果不是这种情况,则已经提出了所谓的护送平均值(或q矩)来表征具有发散矩的概率密度[C. Tsallis等人,J. Math. Phys 50,043303(2009)]。我们在这里介绍一个新的数学对象,即q-累积量,它,在类比的累积量,提供了另一种表征的概率密度的q-矩。我们在最近提出的一类尺度不变离散概率模型上说明了这个新方案[A. Rodriguez等人,J. Stat.(2008)P09006; R. Hanel等人,Eur. J. B 72,263268(2009)],其具有q-高斯作为限制概率分布。

英文摘要:

As well known, cumulant expansion is an alternative way to moment expansion to fully characterize probability distributions provided all the moments exist. If this is not the case, the so called escort mean values (or q-moments) have been proposed to characterize probability densities with divergent moments [C. Tsallis et al, J. Math. Phys 50, 043303 (2009)]. We introduce here a new mathematical object, namely the q-cumulants, which, in analogy to the cumulants, provide an alternative characterization to that of the q-moments for the probability densities. We illustrate this new scheme on a recently proposed family of scale-invariant discrete probabilistic models [A. Rodriguez et al, J. Stat. Mech. (2008) P09006; R. Hanel et al, Eur. Phys. J. B 72, 263268 (2009)] having q-Gaussians as limiting probability distributions.

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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