Testing the Generalized Second Law in 1+1 dimensional Conformal Vacua: An Argument for the Causal Horizon

Astronomy and Astrophysics – Astrophysics – General Relativity and Quantum Cosmology

Scientific paper

Rate now

  [ 0.00 ] – not rated yet Voters 0   Comments 0

Details

19 pages, 2 figures, significant additions clarifying sections 3, 5, and 6

Scientific paper

10.1103/PhysRevD.85.024015

The anomalous conformal transformation law of the generalized entropy is found for dilaton gravity coupled to a 1+1 conformal matter sector with central charges c = ~c. (When c != ~c the generalized entropy is not invariant under local Lorentz boosts.) It is shown that a certain second null derivative of the entropy, S"_gen + (6/c)(S'_out)^2, is primary, and therefore retains its sign under a general conformal transformation. Consequently all conformal vacua have increasing entropy on causal horizons. Alternative definitions of the horizon, including apparent or dynamical horizons, can have decreasing entropy in any dimension D >= 2. This indicates that the generalized second law should be defined using the causal horizon.

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

Testing the Generalized Second Law in 1+1 dimensional Conformal Vacua: An Argument for the Causal Horizon 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 Testing the Generalized Second Law in 1+1 dimensional Conformal Vacua: An Argument for the Causal Horizon, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Testing the Generalized Second Law in 1+1 dimensional Conformal Vacua: An Argument for the Causal Horizon will most certainly appreciate the feedback.

Rate now

     

Profile ID: LFWR-SCP-O-53290

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