Spanning-tree formula conjecture for the Fitting ideal of a graph

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Let Γ=(V,E)\Gamma=(\mathsf{V},\mathsf{E}) be a connected graph, let E\overline{\mathsf{E}} denote the relevant complementary edge set, and let nn be the number of vertices. Define

I\cT(Γ)=(mT:T\cT(Γ)),I_{\cT(\Gamma)}=\left(m_T:T\in\cT(\Gamma)\right),

where \cT(Γ)\cT(\Gamma) is the set of spanning trees of Γ\Gamma and mTm_T is the monomial associated to TT. Let m=(x1,,xn)\mathfrak{m}=(x_1,\ldots,x_n). Spanning-tree formula conjecture. If En2|\overline{\mathsf{E}}|\geq n-2, then

\fittWΓ=I\cT(Γ)mEn+2.\fitt W_\Gamma=I_{\cT(\Gamma)}\cdot\mathfrak{m}^{|\overline{\mathsf{E}}|-n+2}.

This is presented as a strengthening of the minimal-component conjecture under the stated edge-count hypothesis; its general validity is not established in the supplied text.

Progress summary

Partially solved

The conjecture remains open: a June 2026 note records it and offers computational testing, but no general proof or counterexample has appeared.

A note dated June 18, 2026 formulates the spanning-tree identity as Conjecture 3.21, asserting Fitt0(WΓ)=IT(Γ)mEn+2\operatorname{Fitt}_0(W_\Gamma)=I_{\mathcal T(\Gamma)}\mathfrak m^{|\overline{\mathsf E}|-n+2} under the stated edge-count condition. It presents this as a strengthening of the minimal-component conjecture and proves the implication to that weaker conjecture.

June 2026 computational checks

The note reports small-size computational verification related to the preceding conjecture and supplies a Macaulay2 script for testing Conjecture 3.21; these are checks, not a proof of the general formula. No retrieved source reports a counterexample, proof, verification gap, withdrawal, or retraction.

Current status (as of August 2026): The spanning-tree formula remains an open conjecture; only its implication to the minimal-component conjecture and limited computational testing are recorded.

Sources
Sources & referencesView supporting material

Primary source

Călin Spiridon, “On monomial resonance”, arXiv:2606.19006 (2026).

Additional references

5 papers in this index state this conjecture (2006–2026). The statement above is taken from the most recent of them; the others are arXiv:2411.04123, arXiv:1203.1671, arXiv:1101.2357, arXiv:math/0610780.

Solutions 1

Proof

The spanning-tree formula for the Fitting ideal

Let k\Bbbk be an algebraically closed field of characteristic zero, and let Γ\Gamma be a connected simple graph on [n][n], where n3n\ge 3. Write EE for its edge set, FF for its nonedge set, and r=Fr=|F|. Suppose rn2r\ge n-2, and put

S=k[x1,,xn],m=(x1,,xn).S=\Bbbk[x_1,\ldots,x_n],\qquad \mathfrak m=(x_1,\ldots,x_n).

Write T(Γ)\mathcal T(\Gamma) for the set of spanning trees of Γ\Gamma. For TT(Γ)T\in\mathcal T(\Gamma), define

mT=i=1nxidegT(i)1,IT(Γ)=(mT:T a spanning tree of Γ).m_T=\prod_{i=1}^n x_i^{\deg_T(i)-1}, \qquad I_{\mathcal T}(\Gamma)=(m_T:T\text{ a spanning tree of }\Gamma).

We prove Spiridon's Conjecture 3.21:

Fitt0(WΓ)=IT(Γ)mrn+2.(1)\operatorname{Fitt}_0(W_\Gamma) =I_{\mathcal T}(\Gamma)\,\mathfrak m^{\,r-n+2}. \tag{1}

The proof uses Cauchy–Binet and the classical spanning-tree minors of an incidence matrix. The key observation is that every maximal minor of the presentation matrix is a scalar times one monomial. Consequently, a determinant identity with nonnegative integer coefficients determines the whole Fitting ideal, not merely its zero set.

1. The presentation minors are monomials

The presentation of WΓW_\Gamma in the source has one row for each nonedge and one column for each triple. More explicitly, let e1,,ene_1,\ldots,e_n be the standard basis of kn\Bbbk^n, and let KK be the span of eieje_i\wedge e_j for {i,j}E\{i,j\}\in E. Then WΓW_\Gamma is the cokernel of the map

3knS(1)(2kn/K)S\bigwedge^3\Bbbk^n\otimes S(-1) \longrightarrow (\bigwedge^2\Bbbk^n/K)\otimes S

which sends, for i<j<ki<j<k,

eiejekxiejekxjeiek+xkeiej(modK).e_i\wedge e_j\wedge e_k \longmapsto x_i e_j\wedge e_k-x_j e_i\wedge e_k+x_k e_i\wedge e_j \pmod K.

Call this rr-row matrix Θ\Theta. Its r×rr\times r minors generate Fitt0(WΓ)\operatorname{Fitt}_0(W_\Gamma).

All its entries have integer coefficients, so we first work over Q[x1,,xn]\mathbb Q[x_1,\ldots,x_n]. Let CC be the constant matrix obtained by replacing each nonzero entry of Θ\Theta by its sign. In the Laurent polynomial ring, let DFD_F and D3D_3 be diagonal matrices with entries xixjx_i x_j for nonedges and xixjxkx_i x_j x_k for triples, respectively. Then

Θ=DF1CD3.\Theta=D_F^{-1}CD_3.

For any set AA of rr triple-columns, the corresponding maximal minor is therefore

ΔA=det(CA){i,j,k}Axixjxk{i,j}Fxixj.(2)\Delta_A =\det(C_A)\, \frac{\displaystyle\prod_{\{i,j,k\}\in A}x_i x_j x_k} {\displaystyle\prod_{\{i,j\}\in F}x_i x_j}. \tag{2}

If det(CA)0\det(C_A)\ne0, the exponents on the right are nonnegative, since the left side is a polynomial. Thus every nonzero ΔA\Delta_A is a nonzero integer times a monomial of degree rr.

2. A Gram determinant identity

Put

x=(x1,,xn)T,s=x12++xn2.x=(x_1,\ldots,x_n)^{\mathsf T},\qquad s=x_1^2+\cdots+x_n^2.

For any pair i<ji<j, define the column vector

bij=xjeixiej.b_{ij}=x_j e_i-x_i e_j.

Let BEB_E and BFB_F consist of these columns for edges and nonedges, respectively. Direct multiplication gives

BEBET+BFBFT=sInxxT,ΘΘT=sIrBFTBF.(3)\begin{aligned} B_EB_E^{\mathsf T}+B_FB_F^{\mathsf T} &=sI_n-xx^{\mathsf T},\\ \Theta\Theta^{\mathsf T} &=sI_r-B_F^{\mathsf T}B_F. \end{aligned} \tag{3}

For example, the diagonal entry of the second identity at the nonedge {i,j}\{i,j\} is ki,jxk2\sum_{k\ne i,j}x_k^2 on both sides. Entries at disjoint nonedges vanish; entries at two nonedges sharing a vertex agree with the signs in the displayed presentation.

Sylvester's determinant identity, applied over Q(x1,,xn)\mathbb Q(x_1,\ldots,x_n), now yields

det(ΘΘT)=srndet(sInBFBFT)=srndet(BEBET+xxT).(4)\begin{aligned} \det(\Theta\Theta^{\mathsf T}) &=s^{r-n}\det(sI_n-B_FB_F^{\mathsf T})\\ &=s^{r-n}\det(B_EB_E^{\mathsf T}+xx^{\mathsf T}). \end{aligned} \tag{4}

The intermediate exponent rnr-n may be negative; this calculation takes place in the rational function field.

We next compute the last determinant. For an edge set AA, let NAN_A denote its ordinary oriented incidence matrix, with column eieje_i-e_j for i<ji<j, and let BAB_A contain the corresponding columns bijb_{ij}. Then

BA=diag(xi1)NAdiag(xixj){i,j}A.(5)B_A=\operatorname{diag}(x_i^{-1})\, N_A\,\operatorname{diag}(x_i x_j)_{\{i,j\}\in A}. \tag{5}

Deleting any row from the incidence matrix of a spanning tree gives determinant ±1\pm1, as follows by successive leaf removal. Its signed maximal cofactors are all equal: their vector lies in the left kernel, which is spanned by the all-ones vector. Consequently, for each spanning tree TT and any column yy,

det[NTy]=εTi=1nyi,εT{1,1}.\det[\,N_T\mid y\,]=\varepsilon_T\sum_{i=1}^n y_i, \qquad \varepsilon_T\in\{1,-1\}.

Using (5) and taking yi=xi2y_i=x_i^2, we obtain

det[BTx]={i,j}Txixjixidet[NT(xi2)i]=εTsmT.(6)\begin{aligned} \det[\,B_T\mid x\,] &=\frac{\prod_{\{i,j\}\in T}x_i x_j}{\prod_i x_i} \det[\,N_T\mid (x_i^2)_i\,]\\ &=\varepsilon_T\,s\,m_T. \end{aligned} \tag{6}

Apply Cauchy–Binet to the matrix [BEx][\,B_E\mid x\,]. A selection of nn columns not containing xx has zero determinant because xTBE=0x^{\mathsf T}B_E=0. A selection containing xx and n1n-1 edge columns also has zero determinant unless those edges form a spanning tree: otherwise their incidence matrix has rank at most n2n-2. Hence (6) gives

det(BEBET+xxT)=s2TT(Γ)mT2.(7)\det(B_EB_E^{\mathsf T}+xx^{\mathsf T}) =s^2\sum_{T\in\mathcal T(\Gamma)}m_T^2. \tag{7}

Combining (4) and (7) proves the polynomial identity

det(ΘΘT)=srn+2TT(Γ)mT2.(8)\det(\Theta\Theta^{\mathsf T}) =s^{r-n+2}\sum_{T\in\mathcal T(\Gamma)}m_T^2. \tag{8}

Here rn+20r-n+2\ge0 by hypothesis, so the right side is indeed a polynomial.

3. Recovering the ideal from the determinant

Write h=rn+2h=r-n+2. Cauchy–Binet applied to Θ\Theta gives

AΔA2=(x12++xn2)hTT(Γ)mT2.(9)\sum_A\Delta_A^2 =(x_1^2+\cdots+x_n^2)^h \sum_{T\in\mathcal T(\Gamma)}m_T^2. \tag{9}

By (2), the left side is a sum of squares of integer multiples of monomials. Its monomials therefore occur with positive integer coefficients, with no cancellation. The right side likewise has positive integer coefficients, and its monomials are exactly

(mTxα)2,TT(Γ),αZ0n,α=h,(m_Tx^\alpha)^2, \qquad T\in\mathcal T(\Gamma),\quad \alpha\in\mathbb Z_{\ge0}^n,\quad |\alpha|=h,

where xα=ixiαix^\alpha=\prod_i x_i^{\alpha_i} and α=iαi|\alpha|=\sum_i\alpha_i. Since squaring is injective on monomials, equality in (9) says that the monomials occurring in the nonzero maximal minors are precisely the monomials mTxαm_Tx^\alpha with α=h|\alpha|=h. These generate IT(Γ)mhI_{\mathcal T}(\Gamma)\mathfrak m^h, proving (1) over Q\mathbb Q.

Finally, every nonzero integer coefficient of a minor remains nonzero, and hence invertible, in any characteristic-zero field. The same monomial generators therefore give (1) over k\Bbbk. The argument includes r=n2r=n-2, when h=0h=0, and the smallest allowed case n=3n=3. Thus it covers every graph and parameter range in Conjecture 3.21.

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Shivam Patel ·