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arXiv 2604.02449gr-qcastro-ph.HEhep-th
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精确的广义相对论解:一种柱对称的刚性流体物质源

Exact general relativistic solutions for a cylindrically symmetric stiff fluid matter source

Babeş-Bolyai University(博拜什-鲍约伊大学);Astronomical Institute of the Romanian Academy(罗马尼亚科学院天文研究所);Instituto de Astrofísica e Ciências do Espaço, Faculdade de Ciências da Universidade de Lisboa(里斯本大学理学院空间科学与天体物理研究所);Departamento de Física, Faculdade de Ciências da Universidade de Lisboa(里斯本大学理学院物理系);Departamento de Física, Facultad de Ciencias Naturales, Universidad de Atacama(阿塔卡马大学自然科学院物理系)

Tiberiu Harko, Francisco S. N. Lobo, Man Kwong Mak

AI总结:

本文推导了柱对称空间-时间中满足p=γρ的完美流体的广义相对论解,探讨了不同参数下的引力场方程解及其对早期宇宙动态和各向异性引力现象的贡献。

摘要:

在本文中,我们推导了填充有满足p=γρ(0≤γ≤1)的宇宙完美流体的柱对称时空的广义相对论解,其中γ=1表示刚性或泽尔多维奇流体。利用Marder度量,其系数依赖于t和r,我们得到三种情况δ=1、0、-1的显式解,分别对应于指数、幂律和三角函数行为的度量函数。所得时空表现出各向异性演化、非平凡的膨胀和剪切以及曲率奇点,能量密度和压力分布由积分常数决定。这些解为建模柱对称宇宙提供了全面的框架,为研究早期宇宙动态和各向异性引力现象提供了见解。这些解的灵活性还为扩展到高维或修正引力场景提供了途径,使其成为广义相对论理论和现象学研究中的宝贵工具。

英文摘要:

In this work, we derive the general solutions for a cylindrically symmetric space-time filled with a cosmological perfect fluid obeying $p=γρ$ ($0\leq γ\leq 1$), where $γ=1$ represents a stiff or Zeldovich fluid. Using Marder's metric with coefficients depending on $t$ and $r$, we obtain explicit solutions of the gravitational field equations for the three cases $δ= 1, 0, -1$, corresponding to exponential, power-law, and trigonometric behaviors of the metric functions. The resulting space-times exhibit anisotropic evolution, nontrivial expansion and shear, and curvature singularities, with energy density and pressure profiles determined by the integration constants. These solutions provide a comprehensive framework for modeling cylindrically symmetric cosmologies, offering insights into early-universe dynamics and anisotropic gravitational phenomena. The versatility of the solutions also opens avenues for extensions to higher-dimensional or modified gravity scenarios, making them a valuable tool for both theoretical and phenomenological studies in general relativity.

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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