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arXiv 2402.04813gr-qchep-th
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通过Raychaudhuri方程重建无奇点 $f(\mathcal{R})$ 引力

Reconstruction of the singularity-free $f(\mathcal{R})$ gravity via Raychaudhuri equations

Gaurav N. Gadbail, Simran Arora, P. K. Sahoo, Kazuharu Bamba

AI总结:

本文研究反弹宇宙学,利用Raychaudhuri方程作为重建技术构建无奇点 $f(\mathcal{R})$ 引力模型,验证了其在避免Dolgov-Kawasaki不稳定性方面的稳定性,并基于能量条件分析了超级反弹与振荡反弹模型在不同EoS参数下描述无奇点加速宇宙的适用性。

摘要:

我们研究反弹宇宙学,以使用重建技术构建无奇点 $f(\mathcal{R})$ 模型。$f(\mathcal{R})$ 模型的公式化基于Raychaudhuri方程,这是重建模型中用于消除奇点的关键要素。我们探索获得稳定引力Lagrangian的可行性,遵守条件 $f_{\mathcal{R}}>0$ 和 $f_{\mathcal{R}\mathcal{R}}>0$。因此,两个模型都表现出稳定性,有效避免了Dolgov-Kawasaki不稳定性。我们的评估扩展到使用能量条件和有效状态方程 (EoS) 测试重建模型。我们的研究结果表明,重建的超级反弹模型有助于检查幻影和非幻影阶段的无奇点加速宇宙。然而,对于重建的振荡反弹模型,考虑了 $ω=-1/3$ 和 $ω=-2/3$ 两种情况。虽然该模型证明适用于研究 $ω=-1/3$ 情况下的无奇点加速宇宙,但在 $ω=-2/3$ 情况下,它无法在能量条件下证明此类行为。重建模型适应了早期反弹行为和晚期

英文摘要:

We study the bounce cosmology to construct a singularity-free $f(\mathcal{R})$ model using the reconstruction technique. The formulation of the $f(\mathcal{R})$ model is based on the Raychaudhari equation, a key element employed in reconstructed models to eliminate singularities. We explore the feasibility of obtaining stable gravitational Lagrangians, adhering to the conditions $f_{\mathcal{R}}>0$ and $f_{\mathcal{R}\mathcal{R}}>0$. Consequently, both models demonstrate stability, effectively avoiding the Dolgov-Kawasaki instability. Our assessment extends to testing the reconstructed model using energy conditions and the effective equation-of-state (EoS). Our findings indicate that the reconstructed super-bounce model facilitates the examination of a singularity-free accelerating universe for both phantom and non-phantom phases. However, in the case of the reconstructed oscillatory bounce model, two scenarios are considered with $ω=-1/3$ and $ω=-2/3$. While the model proves suitable for studying a singular-free accelerating universe in the $ω=-1/3$ case, it fails to demonstrate such behavior under energy conditions for the $ω=-2/3$ scenario. The reconstructed models accommodate early-time bouncing behavior and late-

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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