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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 . 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 , is the support of , and counts physical edges once. An admissible is an -clique including the diagonal conditions. Let be the triangular vertices and .
Optimization for a fixed anchor
Write
where means existence of a two-walk, not distance exactly two. The vertices of are precisely the neighbors joined to by a triangular edge. Give weight
Then
Indeed is admissible. More strongly, if and , choose a common neighbor of ; then is a three-walk. Thus can be added to every admissible set of relevant targets. Targets outside contribute nothing. Every edge internal to has both endpoints in , so adding accounts for exactly . The contributions of targets in are disjoint cross-edge masses, giving (1).
A general color bound in the denser range
Let and let denote weighted triangle density, with the convention . Then
The middle inequality follows by summing over edges, and the last one is Cauchy--Schwarz. These statements include clique-loop types with their usual half-weight edge convention.
Consequently
This localizes the color certificate without assuming that all of is an -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 : orient their heads into and their tails into ; the tails have a two-walk through , and the heads have a three-walk. All its types are active. Hence . The cleaning lemma therefore transfers (2) to arbitrary graph sequences: if , then
Apply cleaning with deletion density tending to zero; the retained edge density tends to , 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 , put . Whenever is an edge and ,
Within one star this follows as in (1), together with the three-walk obtained by backtracking on and the triangle at . For , use . If , expand the triangular edge through a common neighbor , using ; the other endpoint case is symmetric. Finally itself has a three-walk by backtracking.
An unresolved sufficient assertion is
This is stronger than the general physical-rectangle target. The individual types 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 . Both versions exceed , but only the latter calculation is stable under arbitrarily fine splitting.
The missing accounting step
Fix an eligible edge . Partition the support into
Set
Then . The set is anticomplete to , and is anticomplete to . Counting physical edges gives
Consequently
where
For an Ore-heavy edge, , one also has . 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 -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
Include all edges between and , and also . Then
For , the second degrees are
Thus uniquely maximizes both degree and second degree. Exactly is triangular, and it is an -clique. Nevertheless , so
This is maximal because every admissible set is contained in . Independent twin splitting preserves the total contribution of the -bag, so this is not an endpoint-atom artifact.
The unrestricted target is not contradicted: anchoring at gives
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 for ordered edge density in this paragraph, and for normalized homomorphism density. Since , put
A weighted counting identity is
The paw is a triangle with one pendant edge; is the diamond. Write . 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 .
The putative nonnegativity of (8) is false above the Turan threshold. Take two equal random blocks with internal probability and cross probability . Their limiting ordered density is , hence . Put and . The limiting pattern densities are
Thus the right side of (8) tends to
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 ; 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 be the triangular-edge support. For arbitrary anchors , the physical edge union
is a -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 and , with additional edges only . Give weight , and weight . Then , of mass . The types are nontriangular, and , are disjoint. A physical rectangle containing both marked edges would therefore need an anchor adjacent to both , which is impossible. Every rectangle has mass at most
The total density here is .
Nevertheless, is false above the threshold. In a homogeneous random graph of edge probability , every edge is triangular with high probability. Thus , and (10) becomes . Uniformly over distinct anchors its density is
whereas diagonal anchors give . To verify the count, condition on the two neighborhoods: their intersection has asymptotic mass , and a pair belongs to the physical rectangle with probability . The remaining edges are independent with probability ; 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 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 , of density . Let be the maximum demand of a physical rectangle and set
Then
To prove it, take an admissible three-walk clique of mass , put , , and write . Average the rectangle over anchors , without normalizing their weights. For an internal marked edge, the mass of available anchors is the union of its two neighborhoods in , at least half their degree sum. For a cut edge with outside endpoint , it is exactly . Hence
The first inequality uses . If , the same argument directly gives ; terms with zero denominator are otherwise omitted in their zero-demand limit. For , Cauchy--Schwarz applied to (12) gives
since . For fixed , the last expression decreases for : its derivative has the sign of . Using proves (11), including the case by monotonicity. The identity in (11) uses .
The bound is at least whenever
This polynomial is strictly increasing, and its unique zero in is approximately . A convenient sufficient condition is
At equality , and (11) equals .
At the desired threshold, however, (11) tends only to , not . 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.