2016
DOI: 10.1063/1.4948975
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Associative Yang-Baxter equation for quantum (semi-)dynamical R-matrices

Abstract: In this paper we propose versions of the associative Yang-Baxter equation and higher order R-matrix identities which can be applied to quantum dynamical R-matrices. As is known quantum non-dynamical R-matrices of Baxter-Belavin type satisfy this equation. Together with unitarity condition and skew-symmetry it provides the quantum YangBaxter equation and a set of identities useful for different applications in integrable systems. The dynamical R-matrices satisfy the Gervais-Neveu-Felder (or dynamical Yang-Baxte… Show more

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Cited by 7 publications
(3 citation statements)
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“…This R-matrix satisfies the quantum Yang-Baxter equation with shifted spectral parameters. Following [51] let us write down its relation to the Baxter-Belavin R-matrix (2.20) in the form of type (B.15): R 12 (z 1 − z 2 ) = g 1 (z 1 + N , q) g 2 (z 2 , q) R ACF 12 ( , z 1 , z 2 | q) g −1 2 (z 2 + N , q) g −1 1 (z 1 , q) . (B.23)…”
Section: Jhep07(2022)023mentioning
confidence: 99%
See 1 more Smart Citation
“…This R-matrix satisfies the quantum Yang-Baxter equation with shifted spectral parameters. Following [51] let us write down its relation to the Baxter-Belavin R-matrix (2.20) in the form of type (B.15): R 12 (z 1 − z 2 ) = g 1 (z 1 + N , q) g 2 (z 2 , q) R ACF 12 ( , z 1 , z 2 | q) g −1 2 (z 2 + N , q) g −1 1 (z 1 , q) . (B.23)…”
Section: Jhep07(2022)023mentioning
confidence: 99%
“…A similarity of the quantum R-matrix (2.20) with the Kronecker function underlies the so-called associative Yang-Baxter equation. See[51] and references therein.9 Relation (B.27) appears in the 0 order, while in −1 order one has g2(0) = g1(z)O12 g −1 1 (z) g2(0), which is true due to the property (B.21).…”
mentioning
confidence: 95%
“…The proof of the first statement (1.10) is based on the algebraic treatment of g(z, q). Following [76] we mention that the IRF-Vertex correspondence provides the following relation between quantum non-dynamical R-matrix and the intertwining matrix g(z, q):…”
Section: Introductionmentioning
confidence: 99%