Canonical factorization and diagonalization of Baxterized braid matrices: Explicit constructions and applications

preprint2003arXivOpen access

Abstract

Braid matrices R^(θ)\hat{R}(θ), corresponding to vector representations, are spectrally decomposed obtaining a ratio fi(θ)/fi(−θ)f_{i}(θ)/f_{i}(-θ) for the coefficient of each projector PiP_{i} appearing in the decomposition. This directly yields a factorization (F(−θ))−1F(θ)(F(-θ))^{-1}F(θ) for the braid matrix, implying also the relation R^(−θ)R^(θ)=I\hat{R}(-θ)\hat{R}(θ)=I.This is achieved for GLq(n),SOq(2n+1),SOq(2n),Spq(2n)GL_{q}(n),SO_{q}(2n+1),SO_{q}(2n),Sp_{q}(2n) for all nn and also for various other interesting cases including the 8-vertex matrix.We explain how the limits θ→±∞θ\to \pm \infty can be interpreted to provide factorizations of the standard (non-Baxterized) braid matrices. A systematic approach to diagonalization of projectors and hence of braid matrices is presented with explicit constructions for GLq(2),GLq(3),SOq(3),SOq(4),Spq(4)GL_{q}(2),GL_{q}(3),SO_{q}(3),SO_{q}(4),Sp_{q}(4) and various other cases such as the 8-vertex one. For a specific nested sequence of projectors diagonalization is obtained for all dimensions. In each factor F(θ)F(θ) our diagonalization again factors out all dependence on the spectral parameter θθ as a diagonal matrix. The canonical property implemented in the diagonalizers is mutual orthogonality of the rows. Applications of our formalism to the construction of L−L-operators and transfer matrices are indicated. In an Appendix our type of factorization is compared to another one proposed by other authors.

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