Coarse graining methods for spin net and spin foam models

Details Coarse graining methods for spin net and spin foam models Coarse graining methods for spin net and spin foam models

2011-09-22

arxiv.org/abs/1109.4927v1

Astronomy and Astrophysics

Astrophysics

General Relativity and Quantum Cosmology

39 pages, 13 figures, 1 table

Scientific paper

We undertake first steps in making a class of discrete models of quantum gravity, spin foams, accessible to a large scale analysis by numerical and computational methods. In particular, we apply Migdal-Kadanoff and Tensor Network Renormalization schemes to spin net and spin foam models based on finite Abelian groups and introduce `cutoff models' to probe the fate of gauge symmetries under various such approximated renormalization group flows. For the Tensor Network Renormalization analysis, a new Gauss constraint preserving algorithm is introduced to improve numerical stability and aid physical interpretation. We also describe the fixed point structure and establish an equivalence of certain models.

Affiliated with

Also associated with

No associations

Rating

Coarse graining methods for spin net and spin foam models 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 Coarse graining methods for spin net and spin foam models, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Coarse graining methods for spin net and spin foam models will most certainly appreciate the feedback.

Rate now

Comments { 0 }

Profile ID: LFWR-SCP-O-264013