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Beyond Gibbs-Boltzmann-Shannon: general entropiesa??the Gibbs-Lorentzian example

机译:超越吉布斯-玻尔兹曼-香农:一般熵-吉布斯-洛伦兹式的例子

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We propose a generalisation of Gibbs' statistical mechanics into the domain of non-negligible phase space correlations. Derived are the probability distribution and entropy as a generalised ensemble average, replacing Gibbs-Boltzmann-Shannon's entropy definition enabling construction of new forms of statistical mechanics. The general entropy may also be of importance in information theory and data analysis. Application to generalised Lorentzian phase space elements yields the Gibbs-Lorentzian power law probability distribution and statistical mechanics. The corresponding Boltzmann, Fermi and Bose-Einstein distributions are found. They apply only to finite temperature states including correlations. As a by-product any negative absolute temperatures are categorically excluded, supporting a recent ``no-negative $T$" claim.
机译:我们提议将吉布斯的统计力学推广到不可忽略的相空间相关性领域。推导得出概率分布和熵作为广义总体平均数,代替了吉布斯-玻尔兹曼-香农的熵定义,从而可以构建新形式的统计力学。一般熵在信息论和数据分析中也可能很重要。在广义洛伦兹相空间元素上的应用产生了吉布斯-洛伦兹幂律概率分布和统计力学。找到了相应的玻尔兹曼,费米和玻色-爱因斯坦分布。它们仅适用于有限温度状态,包括相关性。作为副产品,绝对排除了任何负绝对温度,从而支持了最近的“无负T $$”主张。

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