Some Comments on Gravitational Entropy and the Inverse Mean Curvature Flow

Physics – High Energy Physics – High Energy Physics - Theory

Scientific paper

Rate now

  [ 0.00 ] – not rated yet Voters 0   Comments 0

Details

13pp. latex

Scientific paper

10.1088/0264-9381/16/6/302

The Geroch-Wald-Jang-Huisken-Ilmanen approach to the positive energy problem to may be extended to give a negative lower bound for the mass of asymptotically Anti-de-Sitter spacetimes containing horizons with exotic topologies having ends or infinities of the form $\Sigma_g \times {\Bbb R}$, in terms of the cosmological constant. We also show how the method gives a lower bound for for the mass of time-symmetric initial data sets for black holes with vectors and scalars in terms of the mass, $|Z(Q,P)|$ of the double extreme black hole with the same charges. I also give a lower bound for the area of an apparent horizon, and hence a lower bound for the entropy in terms of the same function $|Z(Q,P)|$. This shows that the so-called attractor behaviour extends beyond the static spherically symmetric case. and underscores the general importance of the function $|Z(Q,P)|$. There are hints that higher dimensional generalizations may involve the Yamabe conjectures.

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

Some Comments on Gravitational Entropy and the Inverse Mean Curvature Flow 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 Some Comments on Gravitational Entropy and the Inverse Mean Curvature Flow, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Some Comments on Gravitational Entropy and the Inverse Mean Curvature Flow will most certainly appreciate the feedback.

Rate now

     

Profile ID: LFWR-SCP-O-360845

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