arXivDaily arXiv每日学术速递 周一至周五更新
arXiv 2202.08672astro-ph.COgr-qchep-th
收藏

蝌蚪宇宙学:无简并的自调谐

Tadpole Cosmology: Self Tuning Without Degeneracy

Stephen Appleby, Reginald Christian Bernardo

摘要:

简并度是一种在标量-张量引力模型中容纳精确的低能真空态的方法,尽管存在任意大的真空能量。然而,这种方法需要非常特殊的组合的标量场和度量耦合的拉格朗日。在这项工作中,我们研究偏离的限制性简并条件-从基准模型包含一个确切的闵可夫斯基空间的解决方案,我们打破了简并条件,在许多简单的方法来测试,如果得到的模型保持某些关键功能-特别是动态取消一个大的真空能量的标量场和低能量真空状态的存在。我们强调的作用,蝌蚪在消除动力系统的不动点,一般渲染的标量场和度量时间依赖。我们的结果表明,当违反简并条件,但保持移位对称性,度规保持一个渐进的Minkowski状态,不管存在的宇宙学常数。相反,当移位对称性也被打破时,渐近行为可以从根本上改变。无论如何,这项工作中的非简并模型都有一个吸引人的品质;包含低能量,独立于真空能量的后期渐近状态。蝌蚪允许一个更广泛的类的非退化,自调整模型比以前实现。

英文摘要:

Degeneracy is a method to accommodate exact, low energy vacuum states in scalar-tensor gravitational models despite the presence of an arbitrarily large vacuum energy. However, this approach requires very particular combinations of scalar field and metric couplings in the Lagrangian. In this work we study departures from the restrictive degeneracy condition -- starting from a fiducial model containing an exact Minkowski space solution, we break the degeneracy condition in numerous simple ways to test if the resulting models maintain certain key features -- specifically the dynamical cancellation of a large vacuum energy by the scalar field and the existence of a low energy vacuum state. We highlight the role the tadpole plays in eliminating the fixed points of the dynamical system, generically rendering both the scalar field and metric time dependent. Our results indicate that when violating the degeneracy condition but preserving shift symmetry, the metric maintains an asymptotic Minkowski state, irrespective of the presence of the cosmological constant. In contrast, when shift symmetry is also broken the asymptotic behaviour can radically alter. Regardless, the non-degenerate models in this work share an attractive quality; harboring low energy, late-time asymptotic states that are independent of the vacuum energy. The tadpole allows for a broader class of non-degenerate, self-tuning models than was previously realized.

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。

↑