A large class of non constant mean curvature solutions of the Einstein constraint equations on an asymptotically hyperbolic manifold

Astronomy and Astrophysics – Astrophysics – General Relativity and Quantum Cosmology

Scientific paper

Rate now

  [ 0.00 ] – not rated yet Voters 0   Comments 0

Details

remark on the equivalence between the existence of a solution to the Lichnerowicz equation and to the prescribed scalar curvat

Scientific paper

We construct solutions of the constraint equation with non constant mean curvature on an asymptotically hyperbolic manifold by the conformal method. Our approach consists in decreasing a certain exponent appearing in the equations, constructing solutions of these sub-critical equations and then in letting the exponent tend to its true value. We prove that the solutions of the sub-critical equations remain bounded which yields solutions of the constraint equation unless a certain limit equation admits a non-trivial solution. Finally, we give conditions which ensure that the limit equation admits no non-trivial solution.

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 large class of non constant mean curvature solutions of the Einstein constraint equations on an asymptotically hyperbolic manifold 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 large class of non constant mean curvature solutions of the Einstein constraint equations on an asymptotically hyperbolic manifold, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and A large class of non constant mean curvature solutions of the Einstein constraint equations on an asymptotically hyperbolic manifold will most certainly appreciate the feedback.

Rate now

     

Profile ID: LFWR-SCP-O-107569

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