Weighed scalar averaging in LTB dust models, part I: statistical fluctuations and gravitational entropyReport as inadecuate



 Weighed scalar averaging in LTB dust models, part I: statistical fluctuations and gravitational entropy


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We introduce a weighed scalar average formalism -q-average- for the study of the theoretical properties and the dynamics of spherically symmetric Lemaitre-Tolman-Bondi LTB dust models models. The -q-scalars- that emerge by applying the q-averages to the density, Hubble expansion and spatial curvature which are common to FLRW models are directly expressible in terms of curvature and kinematic invariants and identically satisfy FLRW evolution laws without the back-reaction terms that characterize Bucherts average. The local and non-local fluctuations and perturbations with respect to the q-average convey the effects of inhomogeneity through the ratio of curvature and kinematic invariants and the magnitude of radial gradients. All curvature and kinematic proper tensors that characterize the models are expressible as irreducible algebraic expansions on the metric and 4-velocity, whose coefficients are the q-scalars and their linear and quadratic local fluctuations. All invariant contractions of these tensors are quadratic fluctuations, whose q-averages are directly and exactly related to statistical correlation moments of the density and Hubble expansion scalar. We explore the application of this formalism to a definition of a gravitational entropy functional proposed by Hosoya et al 2004 Phys. Rev. Lett. 92 141302. We show that a positive entropy production follows from a negative correlation between fluctuations of the density and Hubble scalar, providing a brief outline on its fulfillment in various LTB models and regions. While the q-average formalism is specially suited for LTB and Szekeres models, it may provide a valuable theoretical insight on the properties of scalar averaging in inhomogeneous spacetimes in general.



Author: Roberto A. Sussman

Source: https://archive.org/







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