A dynamical systems approach to geodesics in Bianchi cosmologies

Astronomy and Astrophysics – Astrophysics – General Relativity and Quantum Cosmology

Scientific paper

Rate now

  [ 0.00 ] – not rated yet Voters 0   Comments 0

Details

15 pages, 4 figures

Scientific paper

To understand the observational properties of cosmological models, in particular, the temperature of the cosmic microwave background radiation, it is necessary to study their null geodesics. Dynamical systems theory, in conjunction with the orthonormal frame approach, has proved to be an invaluable tool for analyzing spatially homogeneous cosmologies. It is thus natural to use such techniques to study the geodesics of these models. We therefore augment the Einstein field equations with the geodesic equations, all written in dimensionless form, obtaining an extended system of first-order ordinary differential equations that simultaneously describes the evolution of the gravitational field and the behavior of the associated geodesics. It is shown that the extended system is a powerful tool for investigating the effect of spacetime anisotropies on the temperature of the cosmic microwave background radiation, and that it can also be used for studying geodesic chaos.

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 dynamical systems approach to geodesics in Bianchi 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 A dynamical systems approach to geodesics in Bianchi cosmologies, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and A dynamical systems approach to geodesics in Bianchi cosmologies will most certainly appreciate the feedback.

Rate now

     

Profile ID: LFWR-SCP-O-354177

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