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arXiv 2402.08709gr-qcastro-ph.CO
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Rastall引力中暗能量模型的稳定性分析

Stability analysis of a dark energy model in Rastall gravity

Shaily, Akanksha Singh, J. K. Singh, Saddam Hussain, Ratbay Myrzakulov

AI总结:

在平坦FLRW框架下研究Rastall引力宇宙学模型,通过MCMC确定参数并推导EoS,利用动力系统分析验证其稳定性,揭示模型从暗物质向quintessence暗能量的演化转变。

摘要:

我们在平坦FLRW度规框架下研究了Rastall引力理论中的宇宙学模型。我们构建了包含两个模型参数$α$和$j$的Hubble参数值。采用Markov Chain Monte Carlo (MCMC)抽样技术,我们确定了这些模型参数的值及其不确定度。此外,我们推导了状态方程(EoS)参数,该参数收敛于quintessence区域附近。我们使用线性化技术进行动力系统分析,以独立验证结果。同时,我们讨论了模型的各种物理属性,重点强调了演化后期向加速的转变以及对强能量条件(SEC)的违反。总之,我们的模型在过去的时期模拟了暗物质流体的行为,并在未来的时期转变为quintessence暗能量模型。

英文摘要:

We study a cosmological model in Rastall's theory of gravity in the framework of the flat FLRW metric. We formulate the value of the Hubble parameter, which contains two model parameters, $ α$ and $ j $. Employing the Markov Chain Monte Carlo (MCMC) sampling technique, we determine the values of these model parameters along with their uncertainties. Moreover, we derive the equation of state (EoS) parameter, which converges around the quintessence region. We perform a dynamical system analysis using the linearization technique to validate the results independently. Also, we discuss various physical attributes of the model, highlighting the transition to acceleration and the violation of the strong energy condition (SEC) in the late stages of evolution. In conclusion, our model mimics the behavior of a dark matter fluid during the past epoch and transitions into a quintessence dark energy model in the future epoch.

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