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arXiv 0709.1685cond-mat.stat-mech
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复杂系统的熵:广义-广义熵

Entropies for complex systems: generalized-generalized entropies

Stefan Thurner, Rudolf Hanel

摘要:

许多复杂系统的统计变量都具有非玻尔兹曼分布函数的特征。如果一个人想-合理与否-坚持复杂统计系统(非玻尔兹曼)的最大熵原理,我们将展示相应的熵是如何看起来的,给出相应的分布函数的形式。通过两个自然的假设,即(i)最大熵原理应该成立,(ii)熵应该描述系统的正确热力学(产生非玻尔兹曼分布),可以推导出一类完全相容熵的存在。经典Boltzmann-Gibbs熵被恢复为观测分布为指数的特殊情况,Tsallis熵是q-指数观测的特殊情况。

英文摘要:

Many complex systems are characterized by non-Boltzmann distribution functions of their statistical variables. If one wants to -- justified or not -- hold on to the maximum entropy principle for complex statistical systems (non-Boltzmann) we demonstrate how the corresponding entropy has to look like, given the form of the corresponding distribution functions. By two natural assumptions that (i) the maximum entropy principle should hold and that (ii) entropy should describe the correct thermodynamics of a system (which produces non-Boltzmann distributions) the existence of a class of fully consistent entropies can be deduced. Classical Boltzmann-Gibbs entropy is recovered as a special case for the observed distribution being the exponential, Tsallis entropy is the special case for q-exponential observations.

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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