On Group Averaging for SO(n,1)
classification
🌀 gr-qc
hep-thmath.QA
keywords
averaginggroupcasescertainconnectionconstraineddefineddivergence
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The technique known as group averaging provides powerful machinery for the study of constrained systems. However, it is likely to be well defined only in a limited set of cases. Here, we investigate the possibility of using a `renormalized' group averaging in certain models. The results of our study may indicate a general connection between superselection sectors and the rate of divergence of the group averaging integral.
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