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CorollaryStatement: AI-generatedProof: AI-generatedprecheck passjudge pass (gpt-5.6-terra)audited 2026-08-31
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  • AI-adapted: a semantically identical restatement of literature-sourced material, modulo indexing, notation, and boundary cases adopted by the library.
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The free-word formulation implies the canonical-map formulation

Statement

In the one-generator word formalism, the free-word theorem implies the canonical-map form of coherence: the unique arrow of W between two binary words of the same length is carried by evaluation to the unique canonical comparison map between the corresponding parenthesised tensor powers of the chosen object.

Facts & Assumptions

Given: Two binary words v,w of the same length and an object b of a monoidal category.

[L1]

In the binary-word category W, there is exactly one morphism between two words of the same length (The category of binary words).

[L2]

Recursive evaluation at b defines a strong monoidal functor Tb:WB, and on the unique arrow between equal-length words it uses the canonical comparison isomorphism between the corresponding parenthesised tensor powers of b (The word category is the free monoidal category on one generator).

Proof

technique · direct
1.1

Because v and w have the same length, [L1] gives a unique arrow uv,w:vw in W.

givenL1
2.1

By [L2], the image Tb(uv,w) is exactly the canonical comparison isomorphism between the two parenthesised tensor powers represented by v and w.

L2step 1.1
3.1

Therefore the unique formal arrow of W between v and w is carried by evaluation to the canonical comparison map between the corresponding tensor powers of b. This is precisely the canonical-map formulation in the one-generator setting.

step 1.1step 2.1
4.1

Thus the free-word presentation recovers the canonical-map presentation of coherence for tensor powers of one chosen object.

step 3.1

Depends on

Used by

Nothing in the library uses this result yet.

Dependency tree · two levels

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Sources