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arXiv 2409.01040astro-ph.CO
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对称远平行$f(Q)$引力中的反弹宇宙学与稳定性分析

Bouncing cosmologies and stability analysis in symmetric teleparallel $f(Q)$ gravity

M. Koussour, N. Myrzakulov

AI总结:

该研究在对称远平行$f(Q)$引力框架下构建幂律形式的$f(Q)$反弹宇宙模型,推导平坦FLRW宇宙的场方程与精确解,分析宇宙学参数与扰动演化,证实模型大部分时间稳定且满足反弹的物态穿越条件。

摘要:

本文旨在研究近期提出的对称远平行引力(即$f(Q)$引力)框架下的宇宙学反弹场景,该理论中由非度规性标量$Q$表征引力相互作用。我们假设形式为$f(Q)=αQ^n$的$f(Q)$模型,其中$α$和$n$为自由模型参数。为得到反弹宇宙,我们考虑宇宙时间下尺度因子$a(t)$的一种特殊形式,具体为$a(t) = (1+λt^2)^{1/3}$,其中$λ$为任意常数。我们推导了平坦FLRW宇宙的场方程,并得到了对应的精确解。针对该反弹宇宙学模型,我们结合能量条件研究了减速参数、压强、物态方程(EoS)参数等各类宇宙学参数的物理行为。此外,我们采用标量扰动方法,研究了扰动项$δ_m(t)$和$δ(t)$随宇宙时间$t$的演化行为。研究发现,尽管该模型在初始阶段短时间内表现出不稳定行为,但在大部分时间内整体呈稳定状态。最后我们得出结论:物态方程参数在反弹点$t=0$附近穿越了精质线$ω=-1$,证实了该反弹宇宙学模型的有效性。

英文摘要:

This paper is devoted to examining cosmological bouncing scenarios in the framework of the recently proposed symmetric teleparallel gravity (or $f(Q)$ gravity), where the non-metricity scalar $Q$ represents the gravitational interaction. We assume an $f(Q)$ model in the form of $f(Q)=αQ^n$, where $α$ and $n$ are free model parameters. To obtain a bouncing universe, we consider a special form of the scale factor $a(t)$ in terms of cosmic time, specifically $a(t) = (1+λt^2)^{1/3}$, where $λ$ is an arbitrary constant. We derive the field equations for the flat FLRW universe and obtain the corresponding exact solution. We investigate the physical behavior of various cosmological parameters such as the deceleration parameter, pressure, and equation of state (EoS) parameter with the energy conditions for our bounce cosmological model. Furthermore, we investigate the behavior of the perturbation terms $δ_m(t)$ and $δ(t)$ with respect to cosmic time $t$ using the scalar perturbation approach. We found that although the model exhibits unstable behavior at the beginning for a brief period, it shows mostly stable behavior for most of the time. Finally, we conclude that the EoS parameter crosses the quintom line $ω=-1$ in the vicinity of the bouncing point $t=0$, which confirms the success of our bounce cosmological model.

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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