Eulerian polynomial conjecture for the matrices NkN_k

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For each kk, let NkN_k be the matrix appearing in the expression for the generating series Rk(t)\mathcal{R}_k(t), and write πNk(t)\pi_{N_k}(t) and χNk(t)\chi_{N_k}(t) for its minimal and characteristic polynomials. Let Eulk(t)\mathrm{Eul}_{k}(t) denote the Eulerian polynomial. Eulerian NkN_k-matrix conjecture. The minimal and characteristic polynomials coincide and satisfy

πNk(t)=χNk(t)=(−1)kt Eulk(−t).\pi_{N_k}(t)=\chi_{N_k}(t)=(-1)^k t\,\mathrm{Eul}_{k}(-t).

The conjecture is motivated by the explicit initial matrices and their apparent connection with Eulerian polynomials; the source gives no proof or resolution.

References

Primary source

Florent Hivert and Vincent Pilaud, “Signaletic operads”, arXiv:1906.02228 (2024).

Progress summary

Refreshed
Claimed solved

A reader-written argument claims to prove the conjecture completely, but no independent verification of that proof has been found.

Hivert and Pilaud formulated the conjecture in 2019, asserting that the two polynomials attached to each matrix NkN_k coincide and equal the stated Eulerian expression. Their source presents the claim as a conjecture, not a proved theorem.

Posted attempt

A reader-written argument claims a complete proof over characteristic-zero fields: it expresses NkN_k as a rank-one perturbation of the Pascal matrix, derives the characteristic polynomial using the determinant lemma and the Eulerian generating function, then proves equality with the minimal polynomial via a cyclic vector. The argument has not been independently verified.

Current status (as of August 2026): The conjecture has a complete-proof claim, but its correctness remains unverified and no independently corroborated resolution is recorded.

Sources

Solutions 1

ProofThis solution needs a summarySee full solutionHide full solution

The characteristic and minimal polynomials of the Pascal-difference matrix

Let k≥1k\ge 1, and work over a field KK of characteristic zero. Set

N=Nk=[(kj)−(ij)]0≤i,j≤k,N=N_k=\left[\binom{k}{j}-\binom{i}{j}\right]_{0\le i,j\le k},

where (ij)=0\binom{i}{j}=0 for j>ij>i. Define the two Eulerian normalizations by

Ak(t)=∑σ∈Sktdes⁡(σ),Ek(t)=tAk(t).\begin{aligned} A_k(t)&=\sum_{\sigma\in S_k}t^{\operatorname{des}(\sigma)},\\ E_k(t)&=tA_k(t). \end{aligned}

Here des⁡(σ)\operatorname{des}(\sigma) is the number of indices i<ki<k with σi>σi+1\sigma_i>\sigma_{i+1}. We prove

πN(t)=χN(t)=(−1)k+1t2Ak(−t)=(−1)ktEk(−t).(1)\begin{aligned} \pi_N(t)&=\chi_N(t)\\ &=(-1)^{k+1}t^2A_k(-t)\\ &=(-1)^k tE_k(-t). \end{aligned} \tag{1}

This is Hivert–Pilaud, Conjecture 4.36. Their arXiv version 2 uses AkA_k in Definition 2.31, whereas Definition 2.30 of the author manuscript uses the shifted polynomial EkE_k. Thus the two displayed forms in (1) express the same identity. The proof uses the classical Eulerian generating function, Pascal's binomial identity, and the rank-one determinant lemma.

1. A rank-one perturbation of the Pascal matrix

Let P=[(ij)]0≤i,j≤kP=[\binom{i}{j}]_{0\le i,j\le k}, let uu be the column vector whose entries are all 11, and let bb be the column vector with bj=(kj)b_j=\binom{k}{j}. Then

N=ubT−P.(2)N=ub^{\mathsf T}-P. \tag{2}

For every integer m≥0m\ge0 and every 0≤i≤k0\le i\le k, the binomial theorem gives

(Pmu)i=(m+1)i.(3)(P^mu)_i=(m+1)^i. \tag{3}

Indeed, the assertion holds for m=0m=0, and multiplication by PP replaces (m+1)i(m+1)^i by

∑j=0i(ij)(m+1)j=(m+2)i.\sum_{j=0}^i\binom{i}{j}(m+1)^j=(m+2)^i.

In particular,

bTPmu=∑i=0k(ki)(m+1)i=(m+2)k.(4)\begin{aligned} b^{\mathsf T}P^mu &=\sum_{i=0}^k\binom{k}{i}(m+1)^i\\ &=(m+2)^k. \end{aligned} \tag{4}

2. The characteristic polynomial

All power series in this section are formal, in K[[z]]K[[z]]; no convergence assumption is needed. Since I+zPI+zP has invertible constant term, its inverse is

(I+zP)−1=∑m≥0(−z)mPm.(I+zP)^{-1}=\sum_{m\ge0}(-z)^mP^m.

The rank-one determinant lemma and the fact that PP is lower triangular with diagonal entries 11 give

det⁡(I−zN)=(1+z)k+1⋅(1−zbT(I+zP)−1u).(5)\begin{gathered} \det(I-zN)=(1+z)^{k+1}\\ {}\cdot\bigl(1-zb^{\mathsf T}(I+zP)^{-1}u\bigr). \end{gathered} \tag{5}

The classical Eulerian identity, recalled as Proposition 2.34 in arXiv version 2 of the source, is

∑r≥1rkwr=wAk(w)(1−w)k+1.(6)\sum_{r\ge1}r^k w^r =\frac{wA_k(w)}{(1-w)^{k+1}}. \tag{6}

Removing its r=1r=1 term and dividing by ww yields

1+w∑m≥0(m+2)kwm=Ak(w)(1−w)k+1.1+w\sum_{m\ge0}(m+2)^k w^m =\frac{A_k(w)}{(1-w)^{k+1}}.

Use (4) in (5), and then substitute w=−zw=-z in this last identity. The factors (1+z)k+1(1+z)^{k+1} cancel, so

det⁡(I−zN)=Ak(−z).(7)\det(I-zN)=A_k(-z). \tag{7}

Consequently,

χN(t)=tk+1Ak(−1/t).\chi_N(t)=t^{k+1}A_k(-1/t).

Reversing the positions of a permutation replaces its number of descents by k−1k-1 minus that number. Hence

Ak(t)=tk−1Ak(1/t).A_k(t)=t^{k-1}A_k(1/t).

Applying this reciprocity to the preceding expression for χN\chi_N gives

χN(t)=(−1)k+1t2Ak(−t).(8)\chi_N(t)=(-1)^{k+1}t^2A_k(-t). \tag{8}

3. A cyclic vector gives the minimal polynomial

Put vm=Pmuv_m=P^mu. By (3), the matrix with columns v0,v1,…,vkv_0,v_1,\ldots,v_k has (i,m)(i,m) entry (m+1)i(m+1)^i. It is a Vandermonde matrix, with determinant

∏0≤a<b≤k(b−a)≠0.\prod_{0\le a<b\le k}(b-a)\ne0.

Thus v0,…,vkv_0,\ldots,v_k are linearly independent over KK. Characteristic zero ensures that all the factors b−ab-a are nonzero.

Equations (2) and (4) give the exact relation

Nvm=(m+2)ku−vm+1.(9)Nv_m=(m+2)^k u-v_{m+1}. \tag{9}

Starting from v0=uv_0=u, induction on mm using (9) shows that

vm∈span⁡K{u,Nu,…,Nmu}.v_m\in\operatorname{span}_K \{u,Nu,\ldots,N^m u\}.

For m=0,…,km=0,\ldots,k, these inclusions show that u,Nu,…,Nkuu,Nu,\ldots,N^ku span the whole (k+1)(k+1)-dimensional space. They are therefore linearly independent: uu is a cyclic vector for NN.

If a nonzero polynomial of degree at most kk annihilated NN, applying it to uu would contradict this independence. The minimal polynomial thus has degree at least k+1k+1. By the Cayley–Hamilton theorem it divides the monic characteristic polynomial, which has degree k+1k+1. Therefore πN=χN\pi_N=\chi_N, completing (1).

The boundary k=1k=1 is included: A1(t)=1A_1(t)=1 and N1N_1 is nonzero with N12=0N_1^2=0, so both polynomials are t2t^2.