论文标题
大爆炸奇点的初始数据
Initial data on big bang singularities
论文作者
论文摘要
本文的目的是用大爆炸奇异性和静止渐近造型的爱因斯坦方程的解决方案。为此,我们介绍了有关大爆炸奇点的初始数据概念,并猜想它可以用于参数静态溶液。猜想的数学陈述以静态解决方案类别的精确定义,以及与大爆炸奇点的初始数据相对应的发展和独特性的证明。我们在这里提供了一个静止的定义。我们还呼吁现有结果,以说明在某些情况下,有与奇异性初始数据相对应的独特发展。但是,我们的观点导致了与一般猜想相对应的大量开放问题。此处开发的初始数据概念的另一个好处是,它可用于对有关静态奇点的现有结果提供统一的观点。实际上,我们提供了几个例子,说明如何将现有结果视为此处开发的框架的特殊情况。第二个潜在的应用是振荡和空间不均匀的大爆炸奇点。考虑到在空间均匀环境中的现有论点,振荡行为研究的关键第一步是了解解决方案如何沿着稳定的多种流形接近卡斯纳圆圈,然后通过不稳定的多种流形出发。为了在空间不均匀的环境中进行类似的分析,首先识别稳定的流形是至关重要的。在Fournodavlos和Luk的工作的基础上,我们在这里提出了这样的标识。
The goal of this article is to parametrise solutions to Einstein's equations with big bang singularities and quiescent asymptotics. To this end, we introduce a notion of initial data on big bang singularities and conjecture that it can be used to parametrise quiescent solutions. A mathematical statement of the conjecture presupposes a precise definition of the class of quiescent solutions as well as a proof of existence and uniqueness of developments corresponding to initial data on a big bang singularity. We provide one definition of quiescence here. We also appeal to existing results in order to illustrate that, in certain cases, there are unique developments corresponding to initial data on the singularity. However, our perspective leads to a large class of open problems corresponding to the general conjecture. An additional benefit of the notion of initial data developed here is that it can be used to give a unified perspective on the existing results concerning quiescent singularities. In fact, we provide several examples of how existing results can be considered to be special cases of the framework developed here. A second, potential, application is to oscillatory and spatially inhomogeneous big bang singularities. Considering the existing arguments in the spatially homogeneous setting, a crucial first step in the study of oscillatory behaviour is to understand how solutions approach the Kasner circle along a stable manifold, and then depart via an unstable manifold. In order to carry out a similar analysis in the spatially inhomogeneous setting, it is of central importance to first identify the stable manifold. Building on the work of Fournodavlos and Luk, we here propose such an identification.