First appearance value conjecture for Hilbert matrices

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Let HnH_n be the nn-th order Hilbert matrix, and let det⁡(Hn)\det(H_n) denote its determinant. Write APD⁡m(Hn)\operatorname{APD}_m(H_n) for its alternating power difference.

Hilbert-matrix first appearance value conjecture. For n≥2n \geq 2,

APD⁡n−1(Hn)=det⁡(Hn) n n!.\operatorname{APD}_{n-1}(H_n)=\det(H_n)\,n\,n!.

The supplied status evidence says that the relation was confirmed by exact rational calculation for n=1n=1 through n=7n=7; it is therefore recorded as solved.

References

Primary source

Kenichi Takemura, “Alternating Power Difference and Matrix Symmetry: Closed-Form Formulas for the First Appearance Degree m_1”, arXiv:2512.18169 (2025).

Progress summary

Refreshed
Claimed solved

A December 2025 paper verified the formula only in small dimensions, while a reader-posted argument now claims a complete general proof that has not been independently checked.

Takemura’s December 2025 paper states the Hilbert-matrix first-appearance formula as Conjecture 8, predicting APD⁡n−1(Hn)=det⁡(Hn)n n!\operatorname{APD}_{n-1}(H_n)=\det(H_n)n\,n! for n≥2n\geq2. The paper explicitly treats the all-dimensional statement as unproved.

Known results

  • Exact rational computation verifies m1(Hn)=n−1m_1(H_n)=n-1 and the conjectured value for 2≤n≤72\leq n\leq7.
  • The related identity-matrix formula was checked for 1≤n≤71\leq n\leq7.

Posted attempt

A reader-posted argument claims a complete proof for every nn: it derives a general adjugate identity for the first APD and evaluates 1THn−11=n2\mathbf{1}^{\mathsf T}H_n^{-1}\mathbf{1}=n^2 using the reproducing kernel of polynomials on [0,1][0,1]. This attempt has not been independently verified.

Current status (as of August 2026): The formula is verified computationally through n=7n=7, and a complete proof has been posted but remains unverified; the all-dimensional conjecture is therefore not settled.

Sources

Solutions 1

ProofThis solution needs a summarySee full solutionHide full solution

For every n×nn\times n matrix AA, the determinant expansion gives

∑m≥0APD⁡m(A)zmm!=det⁡(ezAij).\sum_{m\ge0}\operatorname{APD}_m(A)\frac{z^m}{m!} =\det(e^{zA_{ij}}).

Because

(ezAij)=Jn+zA+O(z2),Jn=11T,(e^{zA_{ij}})=J_n+zA+O(z^2), \qquad J_n=\mathbf1\mathbf1^{\mathsf T},

and JnJ_n has rank one, determinant multilinearity yields the universal identity

APD⁡n−1(A)=(n−1)!1Tadj⁡(A)1.(1)\operatorname{APD}_{n-1}(A) =(n-1)!\mathbf1^{\mathsf T}\operatorname{adj}(A)\mathbf1. \tag{1}

Let

(Hn)ij=1i+j−1.(H_n)_{ij}=\frac1{i+j-1}.

This is the Gram matrix of 1,x,…,xn−11,x,\ldots,x^{n-1} in L2([0,1])L^2([0,1]), since

(Hn)ij=∫01xi+j−2 dx.(H_n)_{ij}=\int_0^1x^{i+j-2}\,dx.

The all-ones vector represents evaluation at x=1x=1. Therefore 1THn−11\mathbf1^{\mathsf T}H_n^{-1}\mathbf1 is the value Kn(1,1)K_n(1,1) of the reproducing kernel for polynomials of degree less than nn. An orthonormal basis is

ϕk(x)=2k+1 Pk(2x−1),0≤k<n,\phi_k(x)=\sqrt{2k+1}\,P_k(2x-1), \qquad 0\le k<n,

where PkP_k denotes the kk-th Legendre polynomial. Since Pk(1)=1P_k(1)=1,

1THn−11=∑k=0n−1ϕk(1)2=∑k=0n−1(2k+1)=n2.\mathbf1^{\mathsf T}H_n^{-1}\mathbf1 =\sum_{k=0}^{n-1}\phi_k(1)^2 =\sum_{k=0}^{n-1}(2k+1) =n^2.

Equation (1) now gives

APD⁡n−1(Hn)=(n−1)!det⁡(Hn)n2=n n!det⁡(Hn).\operatorname{APD}_{n-1}(H_n) =(n-1)!\det(H_n)n^2 =n\,n!\det(H_n).

For the identity matrix,

∑m≥0APD⁡m(In)zmm!=(ez−1)n−1(ez+n−1).\sum_{m\ge0}\operatorname{APD}_m(I_n)\frac{z^m}{m!} =(e^z-1)^{n-1}(e^z+n-1).

Hence

APD⁡n−1(In)=n!,\operatorname{APD}_{n-1}(I_n)=n!,

and therefore

APD⁡n−1(Hn)=ndet⁡(Hn)APD⁡n−1(In).\operatorname{APD}_{n-1}(H_n) =n\det(H_n)\operatorname{APD}_{n-1}(I_n).

Both identities hold for all n≥2n\ge2. For the endpoint n=1n=1, they also hold under the natural extension APD⁡0(A)=∑σ∈S1sgn⁡(σ)=1\operatorname{APD}_0(A)=\sum_{\sigma\in S_1}\operatorname{sgn}(\sigma)=1.