On the covariance of scalar averaging and backreaction in relativistic inhomogeneous cosmology

被引:15
作者
Heinesen, Asta [1 ]
Mourier, Pierre [2 ]
Buchert, Thomas [2 ]
机构
[1] Univ Canterbury, Sch Phys & Chem Sci, Private Bag 4800, Christchurch 8140, New Zealand
[2] Univ Lyon, Ens Lyon, Univ Lyon1, CNRS,Ctr Rech Astrophys Lyon,UMR5574, F-69007 Lyon, France
基金
欧洲研究理事会;
关键词
general relativity; foliations; Lagrangian description; backreaction; GENERAL-RELATIVITY; FLUIDS;
D O I
10.1088/1361-6382/ab0618
中图分类号
P1 [天文学];
学科分类号
0704 ;
摘要
We introduce a generalization of the 4-dimensional averaging window function of Gasperini et al (2010 J. Cosmol. Astropart. Phys. JCAP02(2010)009) that may prove useful for a number of applications. The covariant nature of spatial scalar averaging schemes to address the averaging problem in relativistic cosmology is an important property that is implied by construction, but usually remains implicit. We employ here the approach of Gasperini et al for two reasons. First, the formalism and its generalization presented here are manifestly covariant. Second, the formalism is convenient for disentangling the dependencies on foliation, volume measure, and boundaries in the averaged expressions entering in scalar averaging schemes. These properties will prove handy for simplifying expressions, but also for investigating extremal foliations and for comparing averaged properties of different foliations directly. The proposed generalization of the window function allows for choosing the most appropriate averaging scheme for the physical problem at hand, and for distinguishing between the role of the foliation itself and the role of the volume measure in averaged dynamic equations. We also show that one particular window function obtained from this generalized class results in an averaging scheme corresponding to that of a recent investigation by Buchert et al (2018 Class. Quantum Gray. 35 24LT02) and, as a byproduct, we explicitly show that the general equations for backreaction derived therein are covariant.
引用
收藏
页数:20
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