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arXiv 1809.07367cond-mat.stat-mech
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分子之外的热力学:分布的统计热力学

Thermodynamics Beyond Molecules: Statistical Thermodynamics of Distributions

Themis Matsoukas

摘要:

统计热力学具有超越分子系统的普遍吸引力,然而,当它的工具被移植到物理学之外的领域时,基本问题\textit{what is thermodynamics?}仍然没有答案。我们在这里回答这个问题。广义统计热力学是概率分布的变分演算。它是独立的物理假设,但提供了一种手段,将我们的知识,假设和物理模型的随机过程,产生的概率问题。我们通过一个不涉及物理学的概率论证来推导熟悉的热力学演算。该理论的核心是一个分布空间和一个将概率分配给这个空间的特殊泛函。该泛函的最大化生成热力学关系的整个数学网络。我们得到统计力学作为一种特殊情况,并与信息论和贝叶斯推断。

英文摘要:

Statistical thermodynamics has a universal appeal that extends beyond molecular systems, and yet, as its tools are being transplanted to fields outside physics, the fundamental question, \textit{what is thermodynamics?}, has remained unanswered. We answer this question here. Generalized statistical thermodynamics is a variational calculus of probability distributions. It is independent of physical hypotheses but provides the means to incorporate our knowledge, assumptions and physical models about a stochastic processes that gives rise to the probability in question. We derive the familiar calculus of thermodynamics via a probabilistic argument that makes no reference to physics. At the heart of the theory is a space of distributions and a special functional that assigns probabilities to this space. The maximization of this functional generates the entire mathematical network of thermodynamic relationships. We obtain statistical mechanics as a special case and make contact with Information Theory and Bayesian inference.

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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