Alphabeta Math
ExampleConstruction: Literature-sourcedVerification: AI-adaptedPipeline-generatedprecheck passjudge pass (gpt-6.1-sol)
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.

Decategorifying a generator on the vertex-projective basis

Example

Take m=2. By The graded Grothendieck group is free on the vertex-projective classes the group G(A2) is free over Z[q,q−1] on the basis [P0],[P1],[P2]. By Decategorification is the unreduced Burau action the operator [R1] acts on coefficient column vectors in the ordered basis ([P0],[P1],[P2]) by [R1]=(100−q−q−1001), whose columns are the images of [P0],[P1],[P2]: the first column is [P0]−q[P1], the second −q[P1], and the third [P2]−[P1]. The matrix C=(q2q200−q−q001) is invertible over Z[q,q−1] (it is upper triangular with diagonal entries q2,−q,1, all units) and C [R1] C−1=B1, where B1=(1−tt0100001) is the first unreduced Burau matrix at t=q, in the column-vector convention of The unreduced Burau matrices. In the Burau coordinates z=Cv, the standard coordinate vectors satisfy e0↦(1−q)e0+e1, e1↦qe0, and e2↦e2. The displayed vertex-projective formulas describe the original basis before this change of coordinates. The example records the conventions: q=t, matrices act on column vectors, and the generator σi is the one that moves the vertex classes i−1,i,i+1.

Facts & Assumptions

Given: The index m=2, the free basis [P0],[P1],[P2] of G(A2) over Z[q,q−1], the operator [R1] of the decategorification proposition, and the unreduced Burau matrix B1 with parameter t.

[L1]

G(A2) is free on [P0],[P1],[P2] and the class map is additive with [X{r}]=qr[X] (The graded Grothendieck group is free on the vertex-projective classes, The graded Grothendieck group of A_m).

[L2]

[Ri][Pi]=−q[Pi], [Ri][Pi+1]=[Pi+1]−[Pi], [Ri][Pi−1]=[Pi−1]−q[Pi] and [Ri][Pj]=[Pj] for ∣i−j∣>1, with terms omitted at the boundary; and C[Ri]C−1=Bi∣t=q with Cr,r=Cr,r+1=(−q)m−r, Cm,m=1, for every i (Decategorification is the unreduced Burau action).

[L3]

The unreduced Burau matrix B1 has the block (1−tt10) at rows and columns 0,1 and the identity elsewhere, and acts on column vectors (The unreduced Burau matrices).

Verification

technique · direct
1.1L1L2

The matrix of [R1] for m=2. By [L2] with i=1 and m=2: [R1][P1]=−q[P1], [R1][P2]=[P2]−[P1], and [R1][P0]=[P0]−q[P1], there being no P−1 term; no j∈{0,1,2} satisfies ∣1−j∣>1. Reading these as columns in the basis [P0],[P1],[P2] gives the displayed matrix [R1] with columns (1,−q,0)T, (0,−q,0)T and (0,−1,1)T.

1.2L2

The change of basis. For m=2 the matrix C of [L2] is C0,0=C0,1=(−q)2=q2, C1,1=C1,2=(−q)1=−q and C2,2=1, which is the displayed matrix; it is upper triangular with diagonal entries q2,−q,1, all units of Z[q,q−1], so it is invertible over Z[q,q−1].

2.1step 1.1step 1.2L3

The matrix identity. Multiplying out, C[R1]= the matrix with rows (q2(1−q),−q3,−q2), (q2,q2,0), (0,0,1) and C−1 has rows (q−2,q−1,1), (0,−q−1,−1), (0,0,1); the product C[R1]C−1 has first row (1−q,q,0), second row (1,0,0) and third row (0,0,1), which is exactly B1 with t=q as in [L3]. Hence C[R1]C−1=B1.

3.1step 2.1∎

Conclusion. The three-dimensional instance of the decategorification proposition is the displayed matrix computation: the operator [R1] in the vertex-projective basis is conjugate by the explicit invertible matrix C to the unreduced Burau generator at t=q. No choice principle is used.

Depends on

Used by

Nothing in the library uses this result yet.

Dependency tree · two levels

25 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