2021
DOI: 10.1140/epjc/s10052-021-09185-7
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Averaging generalized scalar field cosmologies I: locally rotationally symmetric Bianchi III and open Friedmann–Lemaître–Robertson–Walker models

Abstract: Scalar field cosmologies with a generalized harmonic potential and a matter fluid with a barotropic Equation of State (EoS) with barotropic index $$\gamma $$ γ for locally rotationally symmetric (LRS) Bianchi III metric and open Friedmann–Lemaître–Robertson–Walker (FLRW) metric are investigated. Methods from the theory of averaging of nonlinear dynamical systems are used to prove that time-dependent systems and their corresponding time-averaged versions have the same late-tim… Show more

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Cited by 12 publications
(28 citation statements)
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References 176 publications
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“…Perturbations methods and averaging methods were used, for example, in [142][143][144][145][146][147][148][149][150]. One idea is to construct a timeaveraged version of the original system, solving it; the oscillations of the original system are smoothed out [150].…”
Section: Introductionmentioning
confidence: 99%
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“…Perturbations methods and averaging methods were used, for example, in [142][143][144][145][146][147][148][149][150]. One idea is to construct a timeaveraged version of the original system, solving it; the oscillations of the original system are smoothed out [150].…”
Section: Introductionmentioning
confidence: 99%
“…One idea is to construct a timeaveraged version of the original system, solving it; the oscillations of the original system are smoothed out [150]. This can be achieved for homogeneous metrics where the Hubble parameter H plays the role of a time dependent perturbation parameter which controls the magnitude of the error between the solutions of the full and the time-averaged problems whenever H is monotonic and sign invariant, H is positive strictly decreasing in t and lim t→∞ H (t) = 0 [147,148,151]. Therefore, it is possible to obtain information about the largetime behavior of more complicated systems via an analysis of the simpler averaged system equations using dynamical systems techniques.…”
Section: Introductionmentioning
confidence: 99%
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