Unitary representations of super Lie groups and applications to the classification and multiplet structure of super particles

Physics – High Energy Physics – High Energy Physics - Theory

Scientific paper

Rate now

  [ 0.00 ] – not rated yet Voters 0   Comments 0

Details

55 pages LaTeX, some corrections added after comments by Prof. Pierre Deligne

Scientific paper

It is well known that the category of super Lie groups (SLG) is equivalent to the category of super Harish-Chandra pairs (SHCP). Using this equivalence, we define the category of unitary representations (UR's) of a super Lie group. We give an extension of the classical inducing construction and Mackey imprimitivity theorem to this setting. We use our results to classify the irreducible unitary representations of semidirect products of super translation groups by classical Lie groups, in particular of the super Poincar\'e groups in arbitrary dimension. Finally we compare our results with those in the physical literature on the structure and classification of super multiplets.

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

Unitary representations of super Lie groups and applications to the classification and multiplet structure of super particles 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 Unitary representations of super Lie groups and applications to the classification and multiplet structure of super particles, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Unitary representations of super Lie groups and applications to the classification and multiplet structure of super particles will most certainly appreciate the feedback.

Rate now

     

Profile ID: LFWR-SCP-O-125149

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