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Limits of direct reflection-norm methods


This page preserves an earlier research route and its local standing. The completed threshold proof is in the solution note.

Conlon--Lee's reflection method supplies graph-norm inequalities, but the direct applications checked here do not prove the quadratic color bound. These are limitations of specified procedures, not a proof that reflection methods cannot contribute to the problem. The universal weighted-template inequality in random blow-ups remains unresolved.

What the source proves

Conlon and Lee's Finite reflection groups and graph norms, arXiv:1611.05784 (2016), contains these relevant statements: the colored Hölder criterion is equation (4) of Section 1; the explicit three-step folding argument for C6C_6 is in Section 2; and cut involutions, their Cauchy--Schwarz inequality (8), and the percolation criteria are in Section 3. Theorems 1.2--1.3 establish the weakly norming and norming properties of the stated reflection graphs.

These results bound a mixed colored homomorphism integral above by products of monochromatic norm terms. They do not state a corresponding inequality for odd cycles or a lower bound on the number of colors in a C7C_7-rainbow graph.

C7 has no nontrivial cut involution

A cut involution is an involutive automorphism whose fixed vertices separate two halves exchanged by the automorphism. Every nonidentity involution of C7C_7 is a reflection: it fixes one vertex and exchanges the endpoints of the opposite edge. Deleting its single fixed vertex leaves a connected six-vertex path. Thus its fixed set is not a vertex cut, and C7C_7 has no nontrivial cut involution.

Consequently the paper's folding procedure cannot be applied directly while keeping the underlying graph equal to C7C_7. This is consistent with the source's observation that weakly norming graphs are bipartite. It does not exclude applying a reflection inequality to an auxiliary graph.

The mixed seven-walk form folds into C6 and C8

Let A,BA,B be real symmetric matrices and put X=ABAX=ABA. The form used in the semidefinite approach is

TA(B)=tr⁡(BA2BA3)=tr⁡(AX2).T_A(B)=\operatorname{tr}(BA^2BA^3) =\operatorname{tr}(AX^2).

When AA is a host adjacency matrix and BB a color-class adjacency matrix, it counts closed seven-step walks with the first and fourth edges in that color. It counts noninjective walks as well as cycles; the rainbow hypothesis does not make the entire trace vanish.

Frobenius Cauchy--Schwarz gives

TA(B)2=⟨X,AX⟩F2≤∥X∥F2∥AX∥F2=tr⁡(BA2BA2) tr⁡(BA2BA4).(1)\begin{aligned} T_A(B)^2 &=\langle X,AX\rangle_F^2\\ &\le\|X\|_F^2\|AX\|_F^2\\ &=\operatorname{tr}(BA^2BA^2)\, \operatorname{tr}(BA^2BA^4). \end{aligned} \tag{1}

Both factors are positive semidefinite quadratic forms in BB: they are the squared Frobenius norms displayed above. Combinatorially, the two doubled path lengths give six- and eight-step forms, rather than another seven-step form.

The direction of (1) matters. Even exact vanishing of TA(B)T_A(B) would not imply that either factor vanishes. For example, let the host be Km⊔K2K_m\sqcup K_2, with m≥7m\ge7, and let BB be the adjacency matrix of its K2K_2 component. Then

e(Km⊔K2)>(m+2)2/4,TA(B)=0,e(K_m\sqcup K_2)>(m+2)^2/4,\qquad T_A(B)=0,

whereas both factors on the right of (1) equal 22. The bipartite component's edge is inactive for the template conflict graph. Thus this example only rules out the stated reverse implication; it is not an obstruction to the desired color bound or to an argument that uses additional information about active edges.

Direct graph-norm decomposition has only linear-scale strength

Let HH be a fixed connected weakly norming graph, with v=∣V(H)∣v=|V(H)| and h=∣E(H)∣≥2h=|E(H)|\ge2. In particular, HH is bipartite. Suppose a finite host GG is properly edge-colored with rr nonempty color classes, and write BcB_c for their adjacency matrices. Each BcB_c is a matching. A homomorphism from connected HH into a matching has image in one edge, and each target edge admits exactly two such homomorphisms. Therefore

hom⁡(H,Bc)=2∣Ec∣.\operatorname{hom}(H,B_c)=2|E_c|.

Represent the matrices as step kernels on the same nn-vertex probability space. The normalization factors cancel in the graph-norm triangle inequality for A=∑cBcA=\sum_c B_c, giving

hom⁡(H,G)1/h≤∑c=1r(2∣Ec∣)1/h≤r1−1/h(2e(G))1/h.\begin{aligned} \operatorname{hom}(H,G)^{1/h} &\le\sum_{c=1}^r(2|E_c|)^{1/h}\\ &\le r^{1-1/h}(2e(G))^{1/h}. \end{aligned}

Thus this procedure yields

r≥(hom⁡(H,G)2e(G))1/(h−1).(2)r\ge \left(\frac{\operatorname{hom}(H,G)}{2e(G)}\right)^{1/(h-1)}. \tag{2}

For e(G)=Θ(n2)e(G)=\Theta(n^2), the right side is at most O(n(v−2)/(h−1))O(n^{(v-2)/(h-1)}), since there are at most nvn^v homomorphisms. Connectedness gives h≥v−1h\ge v-1, so this exponent is at most one. Consequently (2), even under the additional properness hypothesis, cannot provide a quadratic lower bound on rr.

This restriction concerns the single triangle-inequality argument just given. It does not cover arbitrary uses of the colored Hölder inequalities together with the forbidden mixed C7C_7 configurations.

A polynomial vertex-kernel obstruction, even at fixed density

The following proposition restricts a particular spectral repair of the mixed form. It is independent of the reflection theorem.

Proposition. Fix q∈(1/4,1/2)q\in(1/4,1/2). There is no nonzero real polynomial fqf_q with the following property: for every finite symmetric zero-one template AA, with loops allowed and positive vertex weights wiw_i summing to one, satisfying

12wTAw=q,\frac12w^{\mathsf T}Aw=q,

the matrix

P=W1/2AW1/2,L=fq(P),W=diag⁡(w),P=W^{1/2}AW^{1/2},\qquad L=f_q(P),\qquad W=\operatorname{diag}(w),

is positive semidefinite and satisfies

Lii=0whenever (A3)ii=0.(3)L_{ii}=0\quad\text{whenever }(A^3)_{ii}=0. \tag{3}

The coefficients may depend on qq, but not on the particular template or its vertex weights.

Proof. Choose any

0<x<min⁡{q,1−2q2},a=2(q−x2).0<x<\min\left\{\sqrt q,\frac{1-\sqrt{2q}}2\right\}, \qquad a=\sqrt{2(q-x^2)}.

Use four types: a looped singleton of weight aa, an isolated loopless edge whose endpoints each have weight xx, and an isolated singleton of weight 1−a−2x1-a-2x. All four weights are positive: a>0a>0, and a+2x≤2q+2x<1a+2x\le\sqrt{2q}+2x<1. The density is exactly

a22+x2=q.\frac{a^2}{2}+x^2=q.

For this template,

P=[a]⊕(0xx0)⊕[0].P=[a]\oplus \begin{pmatrix}0&x\\x&0\end{pmatrix}\oplus[0].

The two endpoints of the isolated edge are nontriangular, so their diagonal entries in LL vanish by (3). A PSD matrix with a zero diagonal entry has a zero corresponding row and column, because ∣Lij∣2≤LiiLjj|L_{ij}|^2\le L_{ii}L_{jj}. Hence the entire two-by-two block of LL on these endpoints is zero. Polynomial functional calculus acts blockwise, and the two eigenvalues of this block of PP are x,−xx,-x. Therefore

fq(x)=fq(−x)=0.f_q(x)=f_q(-x)=0.

The same polynomial must satisfy this for every xx in the displayed nonempty interval. Thus it is identically zero. □\square

Condition (3) is only one necessary condition for the odd-walk-supported vertex kernels considered in the semidefinite approach; the proposition does not even require the corresponding off-diagonal support condition. It therefore rules out a nonzero fixed polynomial spectral kernel of this form, including one chosen separately for each density. It does not rule out template-dependent coefficients, nonlinear entrywise operations, triangle-sensitive constructions, or general adaptive PSD kernels.

Remaining question

To use the source toward the target, an additional argument must bring the mixed C7C_7 color restrictions and odd-walk support into a quantitatively useful positive expression. Neither the even-cycle fold (1) nor the direct norm decomposition (2) does this. The adaptive kernel problem and the universal fractional-coloring inequality remain open in these notes.