Suppr超能文献

作为麦克斯韦 - 尤特纳分布的Λ形变的Tsallis分布。

Tsallis Distribution as a Λ-Deformation of the Maxwell-Jüttner Distribution.

作者信息

Gazeau Jean-Pierre

机构信息

Centre National de la Recherche Scientifique (CNRS), Astroparticule et Cosmologie, Université Paris Cité, F-75013 Paris, France.

出版信息

Entropy (Basel). 2024 Mar 21;26(3):273. doi: 10.3390/e26030273.

Abstract

Currently, there is no widely accepted consensus regarding a consistent thermodynamic framework within the special relativity paradigm. However, by postulating that the inverse temperature 4-vector, denoted as β, is future-directed and time-like, intriguing insights emerge. Specifically, it is demonstrated that the -dependent Tsallis distribution can be conceptualized as a de Sitterian deformation of the relativistic Maxwell-Jüttner distribution. In this context, the curvature of the de Sitter space-time is characterized by Λ/3, where Λ represents the cosmological constant within the ΛCDM standard model for cosmology. For a simple gas composed of particles with proper mass , and within the framework of quantum statistical de Sitterian considerations, the Tsallis parameter exhibits a dependence on the cosmological constant given by q=1+ℓcΛ/n, where ℓc=ℏ/mc is the Compton length of the particle and n is a positive numerical factor, the determination of which awaits observational confirmation. This formulation establishes a novel connection between the Tsallis distribution, quantum statistics, and the cosmological constant, shedding light on the intricate interplay between relativistic thermodynamics and fundamental cosmological parameters.

摘要

目前,关于狭义相对论范式内一致的热力学框架,尚无广泛接受的共识。然而,通过假设逆温度4矢量(记为β)是未来指向且类时的,会出现有趣的见解。具体而言,证明了依赖于 的Tsallis分布可被概念化为相对论性麦克斯韦 - 朱特纳分布的德西特变形。在此背景下,德西特时空的曲率由Λ/3表征,其中Λ代表ΛCDM宇宙学标准模型中的宇宙学常数。对于由具有静止质量 的粒子组成的简单气体,在量子统计德西特考虑的框架内,Tsallis参数 表现出对宇宙学常数的依赖关系,由q = 1 + ℓcΛ/n给出,其中ℓc = ℏ/mc是粒子的康普顿长度,n是一个正数值因子,其确定有待观测证实。这种表述在Tsallis分布、量子统计和宇宙学常数之间建立了一种新颖的联系,揭示了相对论热力学与基本宇宙学参数之间的复杂相互作用。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b288/10969626/7ac46e2c6734/entropy-26-00273-g001.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验