Gradient Representations and Affine Structures in AE(n)

Physics – High Energy Physics – High Energy Physics - Theory

Scientific paper

Rate now

  [ 0.00 ] – not rated yet Voters 0   Comments 0

Details

43 pages

Scientific paper

10.1088/0264-9381/22/21/004

We study the indefinite Kac-Moody algebras AE(n), arising in the reduction of Einstein's theory from (n+1) space-time dimensions to one (time) dimension, and their distinguished maximal regular subalgebras sl(n) and affine A_{n-2}^{(1)}. The interplay between these two subalgebras is used, for n=3, to determine the commutation relations of the `gradient generators' within AE(3). The low level truncation of the geodesic sigma-model over the coset space AE(n)/K(AE(n)) is shown to map to a suitably truncated version of the SL(n)/SO(n) non-linear sigma-model resulting from the reduction Einstein's equations in (n+1) dimensions to (1+1) dimensions. A further truncation to diagonal solutions can be exploited to define a one-to-one correspondence between such solutions, and null geodesic trajectories on the infinite-dimensional coset space H/K(H), where H is the (extended) Heisenberg group, and K(H) its maximal compact subgroup. We clarify the relation between H and the corresponding subgroup of the Geroch group.

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

Gradient Representations and Affine Structures in AE(n) 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 Gradient Representations and Affine Structures in AE(n), we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Gradient Representations and Affine Structures in AE(n) will most certainly appreciate the feedback.

Rate now

     

Profile ID: LFWR-SCP-O-434471

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