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Cuntz’s zero-free column question

Abstract

Every zero-free column of an integral Fourier matrix consists of integer units.

Definition 1.1 (Integral Fourier matrix equations).

Formalization. D5/S3/Fourier/CuntzZeroFreeColumnRefutation.FourierAxioms (✓ std3).

Citation. Michael Cuntz (2009). Integral modular data and congruences. DOI: 10.1007/s10801-008-0139-y. URL: https://arxiv.org/abs/math/0611233v2.

Commentary.

Definition 4.1 (arXiv v2, pp. 8–9) starts: “Let s be an integral Fourier matrix, i.e. s ∈ ℤ^{n×n} and” and lists the four equations displayed here. Definition 3.1 (pp. 3–4) states: “Here, √dᵢ is chosen greater than 0.” The source indices 1,…,n are Fin n, with source index 1 represented by Fin.mk 0 hn. The matrix equation fixes d as the row norms; the explanatory reversed-index sum in Definition 3.1 is not an additional equation. Each structure constant is the displayed real sum equal to an integer.

Definition 1.2 (Integral Fourier matrices).

Formalization. D5/S3/Fourier/CuntzZeroFreeColumnRefutation.IsIntegralFourierMatrix (✓ std3).

Citation. Michael Cuntz (2009). Integral modular data and congruences. DOI: 10.1007/s10801-008-0139-y. URL: https://arxiv.org/abs/math/0611233v2.

Commentary.

Definition 4.1 (arXiv v2, pp. 8–9): “Let s be an integral Fourier matrix, i.e. s ∈ ℤ^{n×n} and” is followed by conditions (1)–(4). The real function d supplies the diagonal entries and positive square roots. Existence of a T-matrix and the later congruence conditions are not required.

Definition 1.3 (Section 7, Question (5)).

Formalization. D5/S3/Fourier/CuntzZeroFreeColumnRefutation.claim (✓ std3).

Citation. Michael Cuntz (2009). Integral modular data and congruences. DOI: 10.1007/s10801-008-0139-y. URL: https://arxiv.org/abs/math/0611233v2.

Commentary.

Section 7(5) (arXiv v2, p. 21; journal p. 380): “Does an integral Fourier matrix s exist with a column k such that ∀i sᵢₖ ≠ 0 and ∃i sᵢₖ ≠ ±1?” The formula quantifies every positive size n, matrix s, column k and row i. The nonunit condition is the conjunction s i k ≠ 1 and s i k ≠ −1.

Theorem 1.4 (The answer is negative).

Proof. Machine-checked in Lean as D5/S3/Fourier/CuntzZeroFreeColumnRefutation.result (✓ std3). ∎

Resolves. Problems/cuntz2009 (refuted) by D5/S3/Fourier/CuntzZeroFreeColumnRefutation.result.

Source. Repository-derived.

Acknowledgement. Michael Cuntz (2009). Integral modular data and congruences. DOI: 10.1007/s10801-008-0139-y. URL: https://arxiv.org/abs/math/0611233v2.

Commentary.

For the real matrix A obtained from s, A A.transpose = Matrix.diagonal d implies that A.transpose times the inverse diagonal times A is one. Its diagonal entries give ∑ᵢ sᵢₖ²/dᵢ = 1. The first column gives ∑ᵢ 1/dᵢ = 1. Every nonzero integer square is at least one, and positivity of all reciprocal norms forces equality term by term. Thus every entry in a zero-free column is 1 or −1. The argument applies to any square integer matrix with first column one and positive orthogonal row norms; determinant, symmetrization and fusion integrality are unnecessary.

References