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LemmaStatement: AI-adaptedProof: AI-generatedPipeline-generatedprecheck passjudge pass (gpt-6-luna)verified 2026-11-04 (gpt-6.1-sol)
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Simultaneous fusion-matrix diagonalization implies the Verlinde formula

Statement

Let I be a finite set with a distinguished label 0 and an involution i↦i∗. Define the duality matrix C by Cij=δi,j∗. Let S be a symmetric invertible complex matrix indexed by I such that S2=C and S0x≠0 for every x∈I. For coefficients Nij k, define the fusion matrices by (Ni)j,k=Nij k. If

NiS=S diag⁡ ⁣(SixS0x)x∈Ifor every i∈I,

then

Nij k=∑x∈ISixSjxSk∗xS0x.

This is an algebraic implication for the stated matrix data; it does not assert that a VOA supplies those data.

Facts & Assumptions

Given: The finite label set, distinguished unit label, duality involution, matrix S, and fusion coefficients are the ones in the Statement.

[A1]

The duality matrix is a permutation matrix for an involution, so C2=I.

[A2]

S is symmetric, S2=C, S0x≠0, and every Ni satisfies the displayed simultaneous diagonalization identity.

Proof

1.1givenA1A2algebra

By [A1] and [A2], S4=C2=I, so S−1=S3. Since S2=C, S commutes with C; hence S−1=CS. For any x,k∈I, (S−1)xk=Sx∗,k=Sk,x∗=Sk∗,x, using the symmetry of S and the equality CS=SC.

2.1givenA2step 1.1algebra∎

From NiS=SDi, where (Di)xx=Six/S0x, multiply on the right by S−1 to get Ni=SDiS−1. Its j,k entry is therefore ∑xSjx(Six/S0x)(S−1)xk. Substituting step 1.1 gives the formula in the Statement.

Proof status

This proves the finite-dimensional algebraic reduction used by R3-14. It does not prove simultaneous diagonalization, symmetry, S2=C, or nonvanishing of S0x for VOA characters.

Dependency tree · 0 levels

Nothing. This result depends on no other item in the library.

Sources