稳态集合中超统计的充分条件

Constanza Farías, Sergio Davis
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引用次数: 0

摘要

近年来,旨在描述非平衡稳态系统的超统计理论因其在现实世界中的不同应用而备受关注,这凸显了超统计理论的多功能性以及以反温度$\beta=1/k_{B}T$的概率密度为基础的简明数学表述。在探索超统计理论的应用领域时,最近的研究显示了一些必要条件,可以用基本反温度和微观反温度对给定稳态进行超统计描述。在这篇论文中,我们使用矩生成函数的语言,并将它们与基本逆温度的derivatives的性质联系起来,提出了一个新的定理,为特定稳态的超统计描述的存在建立了充分条件。
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A sufficient condition for superstatistics in steady state ensembles
In recent years, the theory of superstatistics, which aims to describe non-equilibrium steady state systems, has gained attention due to its different real world applications, highlighting its versatility and concise mathematical formulation in terms of a probability density for the inverse temperature $\beta=1/k_{B}T$. When exploring the domain of application of the superstatistical theory, recent works have shown some necessary conditions for a superstatistical description of a given steady state, in terms of the fundamental and microcanonical inverse temperature. In this work, a new theorem that establishes a sufficient condition for the existence of a superstatistical description of a particular steady state is presented, using the language of moment-generating functions and connecting them with properties of the derivatives of the fundamental inverse temperature.
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