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Two-star rectangles and clique mass


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

The clique-localization bound below gives the half-edge inequality for q≥73/242q\ge73/242. The proposed two-star inequality and the lower-density range remain open.

Use the weighted-template notation of physical rectangles: total vertex mass is one, the edge mass is qq, HH is the support of A3A^3, and Fp(S)=e(N(p),S)F_p(S)=e(N(p),S) counts physical edges once. An admissible SS is an HH-clique including the diagonal conditions. Let ZZ be the triangular vertices and R=max⁡p,SFp(S)R=\max_{p,S}F_p(S).

Optimization for a fixed anchor

Write

Cp=N(p)∩N2(p),Yp=Z∩(N2(p)∖N(p)),C_p=N(p)\cap N^2(p),\qquad Y_p=Z\cap\bigl(N^2(p)\setminus N(p)\bigr),

where N2(p)N^2(p) means existence of a two-walk, not distance exactly two. The vertices of CpC_p are precisely the neighbors joined to pp by a triangular edge. Give x∈Ypx\in Y_p weight

μp(x)=wx w(N(p)∩N(x)).\mu_p(x)=w_x\,w\bigl(N(p)\cap N(x)\bigr).

Then

max⁡S admissibleFp(S)=e(N(p))+max⁡L⊆YpL an H-clique∑x∈Lμp(x).(1)\max_{S\text{ admissible}}F_p(S) =e(N(p))+ \max_{\substack{L\subseteq Y_p\\L\text{ an }H\text{-clique}}} \sum_{x\in L}\mu_p(x). \tag{1}

Indeed CpC_p is admissible. More strongly, if x∈Cpx\in C_p and y∈N2(p)y\in N^2(p), choose a common neighbor aa of p,yp,y; then x,p,a,yx,p,a,y is a three-walk. Thus CpC_p can be added to every admissible set of relevant targets. Targets outside N2(p)N^2(p) contribute nothing. Every edge internal to N(p)N(p) has both endpoints in CpC_p, so adding CpC_p accounts for exactly e(N(p))e(N(p)). The contributions of targets in YpY_p are disjoint cross-edge masses, giving (1).

A general color bound in the denser range

Let d(v)=w(N(v))d(v)=w(N(v)) and let TT denote weighted triangle density, with the convention 6T=tr⁡((WA)3)6T=\operatorname{tr}((WA)^3). Then

R≥∑pwpe(N(p))=3T≥∑vwvd(v)2−q≥q(4q−1).(2)R\ge \sum_p w_p e(N(p))=3T \ge \sum_v w_vd(v)^2-q \ge q(4q-1). \tag{2}

The middle inequality follows by summing w(N(u)∩N(v))≥d(u)+d(v)−1w(N(u)\cap N(v))\ge d(u)+d(v)-1 over edges, and the last one is Cauchy--Schwarz. These statements include clique-loop types with their usual half-weight edge convention.

Consequently

q≥38 ⟹ R≥q2,q≥1+38 ⟹ R≥18.(3)q\ge\frac38\ \Longrightarrow\ R\ge\frac q2, \qquad q\ge\frac{1+\sqrt3}{8}\ \Longrightarrow\ R\ge\frac18. \tag{3}

This localizes the color certificate without assuming that all of ZZ is an HH-clique. It is different from the average in triangle averages, which cannot in general be used as a color bound.

Every rectangle's edge types are a clique in J23J_{23}: orient their heads into SS and their tails into N(p)N(p); the tails have a two-walk through pp, and the heads have a three-walk. All its types are active. Hence Φ(J23;m)≥R\Phi(J_{23};m)\ge R. The cleaning lemma therefore transfers (2) to arbitrary graph sequences: if e(Gn)/n2→qe(G_n)/n^2\to q, then

lim inf⁡r(Gn)/n2≥q(4q−1).\liminf r(G_n)/n^2\ge q(4q-1).

Apply cleaning with deletion density tending to zero; the retained edge density tends to qq, and its original color classes separate all distinct edges on closed seven-walks. This proves the transfer rather than assuming uniform common-neighbor supply in a coarse regular pair.

Two adjacent triangle stars

For a triangular vertex pp, put Sp={p}∪CpS_p=\{p\}\cup C_p. Whenever prpr is an edge and p,r∈Zp,r\in Z,

Sp∪Sr is admissible.(4)S_p\cup S_r\text{ is admissible}. \tag{4}

Within one star this follows as in (1), together with the three-walk obtained by backtracking on pxpx and the triangle at pp. For x∈Cp,y∈Crx\in C_p,y\in C_r, use x,p,r,yx,p,r,y. If x=px=p, expand the triangular edge ryry through a common neighbor aa, using p,r,a,yp,r,a,y; the other endpoint case is symmetric. Finally p,rp,r itself has a three-walk by backtracking.

An unresolved sufficient assertion is

q>1/4⟹max⁡a, pr∈E(T[Z])Fa(Sp∪Sr)≥q/2.(5)q>1/4\quad\Longrightarrow\quad \max_{a,\,pr\in E(T[Z])} F_a(S_p\cup S_r)\ge q/2. \tag{5}

This is stronger than the general physical-rectangle target. The individual types {p},{r}\{p\},\{r\} matter in a coarse template, but their weights can become arbitrarily small under independent twin splitting. Thus they cannot supply a uniform positive contribution. For the coarse six-type prism, stars at the ends of a matching edge cover all six types. In a fine twin splitting, their limiting union instead comprises the other four bags; in the uniform prism an anchor in one of these bags captures six edge blocks, of total mass 1/61/6. Both versions exceed q/2=1/8q/2=1/8, but only the latter calculation is stable under arbitrarily fine splitting.

The missing accounting step

Fix an eligible edge prpr. Partition the support into

I=N(p)∩N(r),P=N(p)∖N(r),B=N(r)∖N(p),D=V∖(N(p)∪N(r)).I=N(p)\cap N(r),\quad P=N(p)\setminus N(r),\quad B=N(r)\setminus N(p),\quad D=V\setminus(N(p)\cup N(r)).

Set

P1=(Cp∪{r})∖I,P0=P∖P1,B1=(Cr∪{p})∖I,B0=B∖B1.P_1=(C_p\cup\{r\})\setminus I,\quad P_0=P\setminus P_1, \qquad B_1=(C_r\cup\{p\})\setminus I,\quad B_0=B\setminus B_1.

Then S=Sp∪Sr=I∪P1∪B1S=S_p\cup S_r=I\cup P_1\cup B_1. The set P0P_0 is anticomplete to N(p)N(p), and B0B_0 is anticomplete to N(r)N(r). Counting physical edges gives

Fp(S)=e(S)−e(B1)+e(P0,B1),Fr(S)=e(S)−e(P1)+e(B0,P1).\begin{aligned} F_p(S)&=e(S)-e(B_1)+e(P_0,B_1),\\ F_r(S)&=e(S)-e(P_1)+e(B_0,P_1). \end{aligned}

Consequently

Fp(S)+Fr(S)−q=K−(e(P0,B0)+e(D,V∖D)+e(D)),(6)F_p(S)+F_r(S)-q =K-\bigl(e(P_0,B_0)+e(D,V\setminus D)+e(D)\bigr), \tag{6}

where

K=e(I)+e(I,P1∪B1)+e(P1,B1).K=e(I)+e(I,P_1\cup B_1)+e(P_1,B_1).

For an Ore-heavy edge, d(p)+d(r)>1d(p)+d(r)>1, one also has w(I)>w(D)w(I)>w(D). This mass comparison alone does not control the edge terms in (6).

It would suffice to choose an eligible edge with the right-hand side of (6) nonnegative. No argument currently controls the omitted bipartite and DD-incident edges, or proves that their dominance forces a better edge choice. Neither (5) nor this still stronger endpoint-anchor assertion is being used as an established lemma.

Maximum degree and maximum second degree do not select the anchor

Take five independent types with weights

(wp,wA,wX,wB,wY)=1200(2,22,77,98,1).(w_p,w_A,w_X,w_B,w_Y)=\frac1{200}(2,22,77,98,1).

Include all edges between A∪XA\cup X and B∪YB\cup Y, and also pA,pBpA,pB. Then

q=1004140000>1/4,d(p)=.6,d(A)=d(B)=.505,d(X)=d(Y)=.495.q=\frac{10041}{40000}>1/4, \qquad d(p)=.6,\quad d(A)=d(B)=.505,\quad d(X)=d(Y)=.495.

For s(v)=∑uAvuwud(u)s(v)=\sum_uA_{vu}w_ud(u), the second degrees are

s(p)=.303,s(A)=.255925,s(B)=.252125,s(X)=.249925,s(Y)=.246125.s(p)=.303,\quad s(A)=.255925,\quad s(B)=.252125, \quad s(X)=.249925,\quad s(Y)=.246125.

Thus pp uniquely maximizes both degree and second degree. Exactly Z={p,A,B}Z=\{p,A,B\} is triangular, and it is an HH-clique. Nevertheless N(p)=A∪BN(p)=A\cup B, so

max⁡S admissibleFp(S)=wAwB+wp(wA+wB)=239640000<q/2.(7)\max_{S\text{ admissible}}F_p(S) =w_Aw_B+w_p(w_A+w_B) =\frac{2396}{40000}<q/2. \tag{7}

This is maximal because every admissible set is contained in ZZ. Independent twin splitting preserves the total contribution of the pp-bag, so this is not an endpoint-atom artifact.

The unrestricted target is not contradicted: anchoring at BB gives

FB(Z)=wB(wA+wX)+wp(wA+wB)=994240000>q/2.F_B(Z)=w_B(w_A+w_X)+w_p(w_A+w_B) =\frac{9942}{40000}>q/2.

Neither maximum degree nor maximum second degree can therefore replace the joint choice of anchor and target clique.

Uniform edge averaging also fails

Even when every edge lies in a triangle, uniformly averaging over anchor edges does not prove the endpoint version of (5). Write p=2qp=2q for ordered edge density in this paragraph, and t(F)t(F) for normalized homomorphism density. Since Cu=N(u)C_u=N(u), put

Luv=Fu(N(u)∪N(v))+Fv(N(u)∪N(v)).L_{uv}=F_u(N(u)\cup N(v))+F_v(N(u)\cup N(v)).

A weighted counting identity is

∑uv∈Emuv(Luv−q)=t(C4)+12t(paw)−t(K4−e)−q2.(8)\sum_{uv\in E}m_{uv}(L_{uv}-q) =t(C_4)+\tfrac12t(\mathrm{paw})-t(K_4-e)-q^2. \tag{8}

The paw is a triangle with one pendant edge; K4−eK_4-e is the diamond. Write Fu=e(N(u))+e(N(u),N(v)∖N(u))F_u=e(N(u))+e(N(u),N(v)\setminus N(u)). Summing the two neighborhood terms gives half the paw density; the two cross terms give four-cycle density minus diamond density. The last subtraction in (8) is q∑eme=q2q\sum_em_e=q^2.

The putative nonnegativity of (8) is false above the Turan threshold. Take two equal random blocks with internal probability 9/109/10 and cross probability 11/10011/100. Their limiting ordered density is p=101/200p=101/200, hence q=101/400>1/4q=101/400>1/4. Put c=((9/10)2+(11/100)2)/2c=((9/10)^2+(11/100)^2)/2 and h=(9/10)(11/100)h=(9/10)(11/100). The limiting pattern densities are

t(C4)=(c2+h2)/2=71505241/800000000,t(K4−e)=((9/10)c2+(11/100)h2)/2=612576009/8000000000,t(paw)=p((9/10)c+(11/100)h)/2=7692867/80000000.\begin{aligned} t(C_4)&=(c^2+h^2)/2=71505241/800000000,\\ t(K_4-e)&=((9/10)c^2+(11/100)h^2)/2 =612576009/8000000000,\\ t(\mathrm{paw})&=p\bigl((9/10)c+(11/100)h\bigr)/2 =7692867/80000000. \end{aligned}

Thus the right side of (8) tends to

−22930249/8000000000<0.(9)-22930249/8000000000<0. \tag{9}

With probability tending to one every edge of these random graphs lies in a triangle. Each prescribed endpoint pair has a common neighbor except with exponentially small probability, since every pair probability is at least 11/10011/100; a union bound suffices. The fixed-pattern densities converge by an elementary second-moment count. Hence (9) also witnesses failure in arbitrarily large finite graphs with all edges triangular.

This refutes the uniform-average certificate, not the maximum over anchor edges, the unrestricted rectangle target, or the C7 conjecture.

A two-anchor clique not contained in one rectangle

Let BB be the triangular-edge support. For arbitrary anchors a,ba,b, the physical edge union

Cab=E(NB(a),NA(b))∪E(NA(a),NB(b))(10)C_{ab}=E(N_B(a),N_A(b))\cup E(N_A(a),N_B(b)) \tag{10}

is a J23J_{23}-clique. For edges oriented into these two rectangles, the anchors give two two-walks between their endpoints. At least one constituent edge in one of these walks is triangular, so expand it through a triangle to obtain a three-walk. This works for two edges in the same rectangle as well as for one in each. Every marked type is active because an endpoint lies on a triangular edge.

Equivalently, the regions of ordered anchor pairs contributing a fixed edge to (10) are disjoint over an independent palette. Any probability measure on anchor pairs therefore gives a valid palette dual by taking the measure of each edge's region.

This family can strictly improve the best single physical rectangle. Take triangles a,x,ca,x,c and b,y,db,y,d, with additional edges only xp,pb,yq,qaxp,pb,yq,qa. Give a,b,c,da,b,c,d weight 1/1001/100, and x,y,p,qx,y,p,q weight 6/256/25. Then Cab={xp,yq}C_{ab}=\{xp,yq\}, of mass 576/5000576/5000. The types p,qp,q are nontriangular, and N(p)={x,b}N(p)=\{x,b\}, N(q)={y,a}N(q)=\{y,a\} are disjoint. A physical rectangle containing both marked edges would therefore need an anchor adjacent to both p,qp,q, which is impossible. Every rectangle has mass at most

(6/25)2+all nonmarked edge mass=361/5000.(6/25)^2+\text{all nonmarked edge mass}=361/5000.

The total density here is 649/5000<1/4649/5000<1/4.

Nevertheless, max⁡a,be(Cab)≥q/2\max_{a,b}e(C_{ab})\ge q/2 is false above the threshold. In a homogeneous random graph of edge probability p=51/100p=51/100, every edge is triangular with high probability. Thus B=AB=A, and (10) becomes E(N(a),N(b))E(N(a),N(b)). Uniformly over distinct anchors its density is

p3−p5/2+o(1)=0.11539973745+o(1)<p/4=0.1275,p^3-p^5/2+o(1)=0.11539973745+o(1)<p/4=0.1275,

whereas diagonal anchors give p3/2+o(1)p^3/2+o(1). To verify the count, condition on the two neighborhoods: their intersection has asymptotic mass p2p^2, and a pair belongs to the physical rectangle with probability 2p2−p42p^2-p^4. The remaining edges are independent with probability pp; concentration and a union bound over anchor pairs give the uniform assertion. The full two- and three-walk relations are complete with high probability, so J23J_{23} itself is complete. This is only an obstruction to (10) as a universal certificate.

Localizing the sharp three-walk clique mass

The sharp clique-mass theorem gives a stronger unconditional dense-range bound. This argument allows arbitrary supported demands 0≤T≤A0\le T\le A, of density q>1/4q>1/4. Let RR be the maximum demand of a physical rectangle and set

u0=12−q−14.u_0=\frac12-\sqrt{q-\frac14}.

Then

Φ(J23;T)≥R≥2(q−u02/2)21−u02=(1−u0)32(1+u0).(11)\boxed{\Phi(J_{23};T)\ge R\ge \frac{2(q-u_0^2/2)^2}{1-u_0^2} =\frac{(1-u_0)^3}{2(1+u_0)}.} \tag{11}

To prove it, take an admissible three-walk clique KK of mass m≥1−u0m\ge1-u_0, put U=V∖KU=V\setminus K, u=1−mu=1-m, and write a=eT(K),b=eT(K,U),c=eT(U)a=e_T(K), b=e_T(K,U), c=e_T(U). Average the rectangle ET(NA(p),K)E_T(N_A(p),K) over anchors p∈Kp\in K, without normalizing their weights. For an internal marked edge, the mass of available anchors is the union of its two neighborhoods in KK, at least half their degree sum. For a cut edge with outside endpoint xx, it is exactly dKA(x)d_K^A(x). Hence

mR≥12∫K(dKT)2 dw+∫U(dKT)2 dw≥2a2m+b2u.(12)mR\ge\frac12\int_K(d_K^T)^2\,dw +\int_U(d_K^T)^2\,dw \ge\frac{2a^2}{m}+\frac{b^2}{u}. \tag{12}

The first inequality uses dKA≥dKTd_K^A\ge d_K^T. If u=0u=0, the same argument directly gives R≥2q2R\ge2q^2; terms with zero denominator are otherwise omitted in their zero-demand limit. For u>0u>0, Cauchy--Schwarz applied to (12) gives

R≥2(a+b)2m(2−m)≥2(q−u2/2)21−u2,R\ge\frac{2(a+b)^2}{m(2-m)} \ge\frac{2(q-u^2/2)^2}{1-u^2},

since c≤u2/2c\le u^2/2. For fixed q≤1/2q\le1/2, the last expression decreases for 0≤u≤1/20\le u\le1/2: its derivative has the sign of q−1+u2/2<0q-1+u^2/2<0. Using u≤u0u\le u_0 proves (11), including the u=0u=0 case by monotonicity. The identity in (11) uses q=1/2−u0+u02q=1/2-u_0+u_0^2.

The bound is at least q/2q/2 whenever

4u03−6u02+5u0−1≤0.4u_0^3-6u_0^2+5u_0-1\le0.

This polynomial is strictly increasing, and its unique zero in (0,1/2)(0,1/2) is approximately 0.2733011740.273301174. A convenient sufficient condition is

q≥73242.(13)q\ge\frac{73}{242}. \tag{13}

At equality u0=3/11u_0=3/11, and (11) equals 128/847=q/2+1/3388128/847=q/2+1/3388.

At the desired threshold, however, (11) tends only to 1/241/24, not 1/81/8. Ordinary box pruning does not transfer (13) back to the original demand: it bounds the cost of the retained edges, with no established additional cost for deleted demand. Thus this is a dense-range theorem, not a proof of the requested asymptotic.