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DefinitionDefinition: AI-adaptedProof: Not applicablePipeline-generatedjudge pass (gpt-6-luna)
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The type-A RTT Yangian in the rational i-normalization

Definition

Fix an integer N≥2, the field C, and the ordered vector-space basis e1,…,eN of VN=CN. For 1≤i,j≤N, write Eij for the matrix unit at zero-based position (i−1,j−1) of Matrix units Eij and the Kronecker delta, with es the column supported at coordinate s−1; thus Eijes=δjsei. This reindexes the supplier by 1,…,N, and glN(C) means MN(C) with the commutator bracket. Tensor products are over C and use the fixed finite tensor convention of The rational spin-1/2 spectral R-matrix; the elementary tensors form the basis supplied by The elementary tensors of two bases form the product basis of the tensor product.

Define the flip PN∈End⁡(VN⊗VN) by PN(ea⊗eb)=eb⊗ea, and set RN(x)=xI+iPN, where i2=−1. For VN⊗3, P12,P13,P23 swap the indicated positions and Rab(x)=xI+iPab. Products mean composition, with the rightmost factor applied first.

Let tij(r) for 1≤i,j≤N and r≥1 be generators, and put tij(u)=δij+∑r≥1tij(r)u−r and T0(u)=∑i,jEij(0)⊗tij(u). On two auxiliary copies of VN, define T1(u)=∑i,jEij⊗I⊗tij(u) and T2(v)=∑i,jI⊗Eij⊗tij(v), with the third tensor position the coefficient space. The RTT Yangian Yi(glN) is the unital associative C-algebra on these generators modulo the coefficientwise formal-series relation

R12(u−v)T1(u)T2(v)=T2(v)T1(u)R12(u−v).

Here the relation means that every coefficient vanishes after expanding each tij at u=v=∞.

The normalization is rational and difference-form. At N=2 its R-family is exactly the existing finite supplier The rational spin-1/2 spectral R-matrix; this definition uses that carrier for the rank-two instance and introduces no second C2 model.

The proposed coproduct and counit are Δ(tij(u))=∑ktik(u)⊗tkj(u) and ϵ(tij(u))=δij. The formal antipode is S(T0(u))=T0(u)−1. Their well-definedness and Hopf identities are proved in The RTT Yangian has its standard Hopf structure ↗.

Depends on

Used by

Dependency tree · two levels

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Sources