Super tensor models, super fuzzy spaces and super n-ary transformations

Physics – High Energy Physics – High Energy Physics - Theory

Scientific paper

Rate now

  [ 0.00 ] – not rated yet Voters 0   Comments 0

Details

16 pages

Scientific paper

10.1142/S0217751X11054449

By extending the algebraic description of the bosonic rank-three tensor models, a general framework for super rank-three tensor models and correspondence to super fuzzy spaces is proposed. The corresponding super fuzzy spaces must satisfy a certain cyclicity condition on the algebras of functions on them. Due to the cyclicity condition, the symmetry of the super rank-three tensor models are represented by super n-ary transformations. The Leibnitz rules and the fundamental identities for the super n-ary transformations are discussed from the perspective of the symmetry of the algebra of a fuzzy space. It is shown that the super n-ary transformations of finite orders which conserve the algebra of a fuzzy space form a finite closed n-ary super Lie algebra. Super rank-three tensor models would be of physical interest as background independent models for dynamical generation of supersymmetric fuzzy spaces, in which quantum corrections are under control.

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

Super tensor models, super fuzzy spaces and super n-ary transformations 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 Super tensor models, super fuzzy spaces and super n-ary transformations, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Super tensor models, super fuzzy spaces and super n-ary transformations will most certainly appreciate the feedback.

Rate now

     

Profile ID: LFWR-SCP-O-494965

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