A minimal set of invariants as a systematic approach to higher order gravity models

Astronomy and Astrophysics – Astrophysics

Scientific paper

Rate now

  [ 0.00 ] – not rated yet Voters 0   Comments 0

Details

15 pages, 4 figures, matches JCAP accepted version

Scientific paper

10.1088/1475-7516/2009/01/024

Higher-order gravity models have been recently the subject of much attention in the context of cosmic acceleration. These models are derived by adding various curvature invariants to the Einstein-Hilbert action. Several studies showed that these models can have late-time self-acceleration and could, in some cases, fit various observational constraints. In view of the infinite spectrum of invariants that could be built from curvature tensors, we propose here a method based on minimal sets of independent invariants as a possible route for a systematic approach to these models. We explore a connection made between theorems on bases in invariants theory in relativity and higher-order cosmological models. A dynamical system analysis is performed and some models with accelerating attractors are discussed. The asymptotic behavior of the models is also studied using analytical calculations.

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

A minimal set of invariants as a systematic approach to higher order gravity models 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 A minimal set of invariants as a systematic approach to higher order gravity models, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and A minimal set of invariants as a systematic approach to higher order gravity models will most certainly appreciate the feedback.

Rate now

     

Profile ID: LFWR-SCP-O-213225

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