Alphabeta Math
AlgorithmAlgorithm: AI-adaptedProof: Not applicablePipeline-generatedverified 2026-10-22 (gpt-6.1-sol)
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Ribbon evaluation from a colored braid word

Definition

An effective field is a field whose elements have finite encodings and whose exact addition, subtraction, multiplication, equality test, and inversion of nonzero elements are terminating procedures. Input a finite-dimensional strict matrix realization over an effective field k of a k-linear ribbon category with End⁡(1)=k, finite-dimensional color objects with fixed bases, exact matrices for every braiding and inverse braiding used, the evaluation and coevaluation maps for the closure, the twist matrices, and the matrix JW of the ribbon-induced pivotal comparison jW=uW∘θW:W→W∨∨ for W=Va1⊗⋯⊗Van, where uW is the Drinfeld morphism. Also input a finite braid word β on n≥1 strands and the top color tuple (a1,…,an). The matrices are assumed to satisfy the stated ribbon-category axioms; an implementation does not infer those axioms from arbitrary matrices.

Use the strand-position permutation homomorphism π:Bn→Sym⁡({1,…,n}) given by π(σi)=(i i+1). Read the braid letters in composition order, updating the current color tuple at each crossing by swapping its adjacent colors. For a positive letter σi, use the matrix of 1⊗⋯⊗cVai,Vai+1⊗⋯⊗1, and for a negative letter σi−1 use 1⊗⋯⊗cVai+1,Vai−1⊗⋯⊗1, whose source adjacent factors are Vai⊗Vai+1. Here the subscripts always refer to the current tuple before the swap. Let the blackboard-framed closure join the bottom and top endpoint at each position by the identity pairing. Reject the input if the final color tuple differs from the initial tuple: the tuple records the colors at the paired endpoints, so equality is exactly the condition that the closure carries a consistent color on every component. Starting with the identity matrix, multiply the typed crossing matrices in word order to obtain Mβ:W→W, then return the finite matrix contraction ev⁡W∨((JWMβ)⊗1W∨)coev⁡W∈k. In ordinary dual-basis coordinates this contraction is the matrix trace Tr⁡(JWMβ). No algorithm is asserted for arbitrary abstract ribbon categories without effective finite matrix data.

Facts & Assumptions

Given: The effective field, valid finite-dimensional matrix ribbon data, the braid word, and its top color tuple.

[F1]

For f:W→W∨∨, the left categorical trace is the composite ev⁡W∨(f⊗1W∨)coev⁡W (The categorical trace of a morphism into the double dual).

[F2]

The Drinfeld morphism uW:W→W∨∨ is a natural isomorphism defined by the displayed evaluation/braiding/coevaluation composite, and satisfies dY,Z(uY⊗uZ)=uY⊗ZcZ,YcY,Z (A braided rigid category has a Drinfeld morphism).

[F3]

For current adjacent colors A,B, the supplied positive crossing is cA,B:A⊗B→B⊗A and the negative crossing is cB,A−1:A⊗B→B⊗A. The matrices satisfy the ribbon-category axioms by the input condition.

[F4]

For n≥2, Bn is generated by σ1,…,σn−1 with the Artin braid and distant-commutativity relations, and B1 is trivial (The braid group by Artin presentation).

[F5]

Sym⁡({1,…,n}) is the group of bijections of the strand-label set under composition, and (i i+1) is the transposition interchanging i and i+1 (The symmetric group Sym⁡(X): the bijections of a set X under composition).

[F6]

The twist is natural and satisfies θY⊗Z=(θY⊗θZ)cZ,YcY,Z and ribbon dual compatibility (Twist and ribbon structure).

[F7]

The chosen evaluation and coevaluation maps satisfy the two snake identities (Left dual and right dual object).

Depends on

Used by

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Sources