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Family of probability distributions derived from maximal entropy principle with scale invariant restrictions

机译:从具有规模不变约束的最大熵原理导出概率分布族

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摘要

Using statistical thermodynamics, we derive a general expression of the stationary probability distribution for thermodynamic systems driven out of equilibrium by several thermodynamic forces. The local equilibrium is defined by imposing the minimum entropy production and the maximum entropy principle under the scale invariance restrictions. The obtained probability distribution presents a singularity that has immediate physical interpretation in terms of the intermittency models. The derived reference probability distribution function is interpreted as time and ensemble average of the real physical one. A generic family of stochastic processes describing noise-driven intermittency, where the stationary density distribution coincides exactly with the one resulted from entropy maximization, is presented. © 2013 American Physical Society.
机译:使用统计热力学,我们推导了由多个热力学力导致不平衡的热力学系统的平稳概率分布的一般表达式。通过在尺度不变性约束下施加最小熵产生和最大熵原理来定义局部平衡。所获得的概率分布呈现出奇异性,就奇偶性模型而言,奇异性具有直接的物理解释。导出的参考概率分布函数被解释为实际物理时间的时间和整体平均。提出了描述噪声驱动的间歇性的一类随机过程,其静态密度分布与熵最大化所导致的精确性完全吻合。 ©2013美国物理学会。

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