Alphabeta Math
LemmaStatement: Literature-sourcedProof: AI-adaptedPipeline-generated
How statement and proof provenance work

The first chip identifies the source of the statement or construction; the second identifies the source of its local proof or verification.

  • Literature-sourced: the exact statement appears in a cited source; only wording and notation differ.
  • AI-adapted: a semantically identical restatement of literature-sourced material, modulo indexing, notation, and boundary cases adopted by the library.
  • AI-generated: a genuinely novel statement formulated by AI, with no source for the claim itself.

These labels describe origin, not correctness: citations and verification chips remain separate evidence.

The rational R-matrix intertwines two fundamental evaluation orders

Statement

Let N≥2, a,b∈C, and let Wa=Wb=VN∨ carry the evaluation actions with parameters a and b from Evaluation modules of the type-A RTT Yangian. On the same ordered space Wa⊗Wb, write ρΔ for the coproduct action and ρΔop for the action obtained by using Δop=σ∘Δ, where σ(x⊗y)=y⊗x. Their auxiliary generating matrices are respectively T0a(u)T0b(u) and T0b(u)T0a(u). Identify the indexed dual bases with the standard basis when defining Rab=RN(a−b)=(a−b)I+iPN on this space. For every generating-series coefficient,

ρΔ(tij(u))Rab=RabρΔop(tij(u)).

Thus Rab is an intertwining linear map; it is an isomorphism when a−b∉{i,−i}. At the two exceptional differences the same intertwining identity holds, but the map is singular as described in The type-A rational R-matrix satisfies Yang–Baxter and has exact singular parameters.

Facts & Assumptions

Given: The Hopf coproduct, the two evaluation modules, and the rational spectral R-matrix with its spectral Yang–Baxter equation.

[F1]

The RTT Yangian has its standard Hopf structure: Δ(T(u))=T[1](u)T[2](u) is a coassociative coproduct; applying the tensor flip to Δ reverses the two matrix factors.

[F2]

The gl_N evaluation formula satisfies RTT: for any glN-module and parameter c, tij(u)=δij−iρ(Eij)/(u−c) defines a Yangian action; on VN∨ its auxiliary Lax matrix is RN(u−c).

[F3]

The type-A rational R-matrix satisfies Yang–Baxter and has exact singular parameters: R12(x)R13(x+y)R23(y)=R23(y)R13(x+y)R12(x), and RN(d) is invertible exactly when d∉{i,−i}.

[F4]

Evaluation modules of the type-A RTT Yangian: VN∨(a) has the dual-natural action and its auxiliary series is I+iPN/(u−a), whose polynomial Lax matrix is RN(u−a).

Proof

1.1givenF1F2F4algebra

On the same ordered space Wa⊗Wb, the coproduct action has auxiliary matrix T0(u)=T0a(u)T0b(u) by [F1]. The opposite coproduct reverses those two matrix factors, giving T0b(u)T0a(u). Multiplying both by the scalar (u−a)(u−b) gives the polynomial products L0a(u−a)L0b(u−b) and L0b(u−b)L0a(u−a), since [F2] and [F4] give L0c(u−c)=R0c(u−c) for c=a,b.

2.1givenF2F3step 1.1algebra

Apply the spectral Yang–Baxter identity [F3] on auxiliary space 0 and quantum spaces a,b, using their indexed-basis identifications and spectral points u,a,b. It gives L0a(u−a)L0b(u−b)Rab(a−b)=Rab(a−b)L0b(u−b)L0a(u−a). Since (u−a)(u−b) is nonzero and invertible in the scalar Laurent-series field at infinity, cancel it from the two polynomial Lax products in step 1.1. The resulting identity is the claimed intertwining relation for T0(u), and equality of its matrix entries gives it for each tij(u) coefficient.

3.1givenF3step 2.1algebra∎

If a−b∉{i,−i}, [F3] makes Rab invertible, so the intertwiner is an isomorphism. At a−b=i its kernel is antisymmetric, and at a−b=−i its kernel is symmetric, by [F3]; the identity in step 2.1 still holds because the Yang–Baxter identity is polynomial and no inverse was used.

Depends on

Used by

Nothing in the library uses this result yet.

Dependency tree · two levels

9 results within two dependency steps of this one, each drawn at its shortest distance from it. An arrow runs from a result to what uses it, so the chart reads left to right and ends at this result, which carries a heavier outline. Every node is a link to that result. Click elsewhere on the chart to enlarge it.

Sources