Triangular dynamical r-matrices and quantization
Ping Xu

TL;DR
This paper explores the geometric and algebraic structures of triangular dynamical r-matrices, demonstrating their connection to Poisson manifolds and establishing a classification of their quantizations using Lie algebra cohomology.
Contribution
It introduces a Poisson geometric framework for triangular dynamical r-matrices and classifies their quantizations via relative Lie algebra cohomology, extending to splittable cases.
Findings
Triangular dynamical r-matrices induce regular Poisson manifolds.
Non-degenerate cases are quantizable and classified by cohomology.
Generalization to splittable cases broadens applicability.
Abstract
We provide a general study for triangular dynamical r-matrices using Poisson geometry. We show that a triangular dynamical r-matrix always gives rise to a regular Poisson manifold. Using the Fedosov method, we prove that non-degenerate (i.e., the corresponding Poisson manifolds are symplectic) triangular dynamical r-matrices (over and valued in ) are quantizable, and the quantization is classified by the relative Lie algebra cohomology . We also generalize this quantization method to splittable triangular dynamical r-matrices, which include all the known examples of triangular dynamical r-matrices. Finally, we arrive a conjecture that the quantization for an arbitrary triangular dynamical r-matrix is classified by the formal neighbourhood of this r-matrix in the modular space of triangular dynamical r-matrices. The…
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Taxonomy
TopicsAdvanced Data Compression Techniques · graph theory and CDMA systems · Matrix Theory and Algorithms
