On a Poisson-Lie analogue of the classical dynamical Yang-Baxter equation for self-dual Lie algebras

Mathematics – Quantum Algebra

Scientific paper

Rate now

  [ 0.00 ] – not rated yet Voters 0   Comments 0

Details

13 pages, LaTeX2e. Typos are corrected in v2, a note added in proof upon publication in LMP is included in v3

Scientific paper

We derive a generalization of the classical dynamical Yang-Baxter equation (CDYBE) on a self-dual Lie algebra $\cal G$ by replacing the cotangent bundle T^*G in a geometric interpretation of this equation by its Poisson-Lie (PL) analogue associated with a factorizable constant r-matrix on $\cal G$. The resulting PL-CDYBE, with variables in the Lie group G equipped with the Semenov-Tian-Shansky Poisson bracket based on the constant r-matrix, coincides with an equation that appeared in an earlier study of PL symmetries in the WZNW model. In addition to its new group theoretic interpretation, we present a self-contained analysis of those solutions of the PL-CDYBE that were found in the WZNW context and characterize them by means of a uniqueness result under a certain analyticity assumption.

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

On a Poisson-Lie analogue of the classical dynamical Yang-Baxter equation for self-dual Lie algebras 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 On a Poisson-Lie analogue of the classical dynamical Yang-Baxter equation for self-dual Lie algebras, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and On a Poisson-Lie analogue of the classical dynamical Yang-Baxter equation for self-dual Lie algebras will most certainly appreciate the feedback.

Rate now

     

Profile ID: LFWR-SCP-O-402318

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