(An)Isotropic models in scalar and scalar-tensor cosmologies

Astronomy and Astrophysics – Astrophysics – General Relativity and Quantum Cosmology

Scientific paper

Rate now

  [ 0.00 ] – not rated yet Voters 0   Comments 0

Details

Scientific paper

10.1007/s10509-011-0954-9

We study how the constants $G$ and $\Lambda$ may vary in different theoretical models (general relativity with a perfect fluid, scalar cosmological models (\textquotedblleft quintessence\textquotedblright) with and without interacting scalar and matter fields and a scalar-tensor model with a dynamical $\Lambda$) in order to explain some observational results. We apply the program outlined in section II to study three different geometries which generalize the FRW ones, which are Bianchi \textrm{V}, \textrm{VII}$_{0}$ and \textrm{IX}, under the self-similarity hypothesis. We put special emphasis on calculating exact power-law solutions which allow us to compare the different models. In all the studied cases we arrive to the conclusion that the solutions are isotropic and noninflationary while the cosmological constant behaves as a positive decreasing time function (in agreement with the current observations) and the gravitational constant behaves as a growing time function.

No associations

LandOfFree

Say what you really think

Search LandOfFree.com for scientists and scientific papers. Rate them and share your experience with other people.

Rating

(An)Isotropic models in scalar and scalar-tensor cosmologies does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.

If you have personal experience with (An)Isotropic models in scalar and scalar-tensor cosmologies, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and (An)Isotropic models in scalar and scalar-tensor cosmologies will most certainly appreciate the feedback.

Rate now

     

Profile ID: LFWR-SCP-O-634917

  Search
All data on this website is collected from public sources. Our data reflects the most accurate information available at the time of publication.