理解引力热力学

Lorenzo Lorenzetti
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引用次数: 0

摘要

使用统计方法为引力系统建模对物理学实践至关重要,但热力学和统计力学在多大程度上真正适用于这些系统却是一个有争议的问题。本文通过重新考虑平衡等关键概念的性质,为引力热力学提供了新的概念基础,并提出了一种理解热力学的新方法。挑战源于引力势的特殊结构特征,它导致非广延性能量和熵、负热容量以及缺乏标准平衡。因此,有人认为只有非平衡统计力学才适用于这一领域,而热力学则不适用。相反,我们认为平衡统计力学适用于相关尺度的自引力系统,因为它们以稳定的准平衡态形式显示平衡。然后,我们建立了一个可应用于这些系统及其他系统的最小热力学框架。热力学的应用意义在于,我们可以在平衡统计力学的范围内,用粗粒度量对这些系统的行为进行宏观描述和解释。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Making Sense of Gravitational Thermodynamics
The use of statistical methods to model gravitational systems is crucial to physics practice, but the extent to which thermodynamics and statistical mechanics genuinely apply to these systems is a contentious issue. This paper provides new conceptual foundations for gravitational thermodynamics by reconsidering the nature of key concepts like equilibrium and advancing a novel way of understanding thermodynamics. The challenges arise from the peculiar characteristics of the gravitational potential, leading to non-extensive energy and entropy, negative heat capacity, and a lack of standard equilibrium. Hence it has been claimed that only non-equilibrium statistical mechanics is warranted in this domain, whereas thermodynamics is inapplicable. We argue instead that equilibrium statistical mechanics applies to self-gravitating systems at the relevant scale, as they display equilibrium in the form of metastable quasi-equilibrium states. We then develop a minimal framework for thermodynamics that can be applied to these systems and beyond. Thermodynamics applies in the sense that we can devise macroscopic descriptions and explanations of the behaviour of these systems in terms of coarse-grained quantities within equilibrium statistical mechanics.
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