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A cut certificate for palette savings
This page preserves an earlier research route and its local standing. The completed threshold proof is in the solution note.
Use the weighted support and palette conventions of random blow-ups. All walk relations refer to the fixed zero-one support , not to a thinned demand matrix .
The enlarged cut certificate
Let be the triangular-edge support. Fix a type , and put
For , define demand degrees
Then the palette cost satisfies
Here and below the notation for suppresses the vertex-weight factors in its demands.
Every internal -edge is triangular through . Such edges form a conflict clique, completely joined to all active - types: for an internal edge and a cut edge , use the walks and .
Associate to an active cut type , with , the set
These sets are pairwise disjoint in any compatible cut palette. If one of its two -endpoints belongs to , the endpoints have a three-walk: expand its triangular edge to , then append the edge from to the other endpoint. An intersection of the associated sets supplies a two-walk between the outside endpoints. If both -endpoints belong to , they have a two-walk through ; an intersection of their triangular neighborhoods supplies a three-walk between the outside endpoints, by expanding one of its triangular constituent edges. Either case would be a conflict.
For any probability measure , give a cut type dual value , every internal -type value one, and all other types value zero. Disjointness and the complete join prove feasibility. Taking to be a point mass proves (1). Inactive cut types would contribute zero to the displayed formula: a -endpoint is triangular, and makes triangular. Thus no inactive demand was mistakenly charged. The walk proof also permits loops.
One triangular maximum-degree star suffices
Suppose has maximum support degree , and every supported edge incident to is triangular, so . This is weaker than requiring every supported edge to be triangular. A looped maximum-degree vertex, for example, has this property.
Average (1) with . Writing and , it gives
This is the input to the calculation in triangular support. Consequently, for arbitrary thinned demands of density ,
For clarity, the calculation uses , demand degrees , and . Pointwise,
Integrating over yields the first bound in (2). The second uses and the monotonicity of for .
The remaining double-nontriangular error
Without the triangular-star hypothesis, the same calculation gives
where . This improves the earlier error by replacing with .
Let and . Equivalently,
Indeed, implies , so any demand-bearing next step automatically has . Thus the error consists of four-vertex walks whose two end edges are nontriangular. Every such has , hence degree at most . Neither (3) nor (4) currently bounds this error sufficiently.
Two useful special anchor measures in (1), for positive and , give
Both are lower bounds on ; support degrees occur in their second factors. With full demands, .
Full-demand missing-cut identities
Assume full demands and set , , , , and
The maximum-degree condition and edge accounting give
Therefore implies
For , put . If is nontriangular, then is disjoint from , so . This records where the loss of triangular -neighbors can occur; it is stronger than just its total missing mass .
Another constraint uses . The nonisolated part of is contained in , so its mass is at most . All ordered pairs within except those entirely inside this nonisolated part are missing. Thus , proving
These are necessary resource constraints, not a completed charging argument for (3).
The exactly half-regular boundary
For full demands, suppose every support degree is . Then . If , the support is complete balanced bipartite: is independent of mass , and regularity forces its complete join to its complement and no internal edges.
If , every -vertex is completely joined to . Thus throughout . Let
If , its triangular -degree is . If , regularity gives ; since has no isolated vertices internally, . Also , by comparing the two half-mass degree sums. Formula (5) now yields
Here , since excludes a loop at , so . Therefore the new cut family has a strictly greater than certificate.
If , its full-vertex average in (1) is exactly , while its value at is . Unless , positivity of makes the maximum strictly larger than . Equality forces to be a complete looped clique of mass , without edges to its complement; regularity forces the complement to be another such clique.
Thus the local family has a strict margin on every positive half-regular finite support other than the complete balanced bipartite support and two disjoint complete half-mass cliques. This is a fixed-template statement, not a uniform stability theorem: the margin may vanish when weights vanish or types are split.
Why averaging only over C does not suffice
Take of mass and of mass , each split equally into four types forming a looped four-cycle. Join corresponding types by a matching. Add a type of mass , adjacent to all of and nowhere else. Every edge is triangular. The degrees are
so is the unique maximum-degree type. Direct accounting gives
Thus (7) and averaging only over cannot close the proof, even in the clean-anchor class. Full-vertex averaging already proves this example by (2). The unresolved issue is a universal choice or combination of anchor measures in (1).
A saturated nontriangular cut also suffices
There is a further restricted theorem, extending the clean maximum-degree star case. Suppose that for one maximum-support-degree anchor , every is completely joined to . In other words, the missing-cut budget in (6) is zero in the support. Then every thinned demand vector of density satisfies
The case was proved in (2); assume .
When U has a supported internal edge
Every type is active, and the conflict graph is covered by two cliques. Set . The first clique is
The internal -edge supplies three-walks between any two -types, while the complete - join supplies two-walks between any two -types. This proves conflicts between cut types. An internal -type and any cut type have a two-walk between their -endpoints through , and a three-walk between the remaining endpoints by a backtrack. For two internal types, use the same two-walk and a three-walk beginning with a marked internal edge, then passing through .
The second clique, from (1) with the point-mass measure at , is
Indeed for all , and exactly when . These two cliques cover all supported types. Every -type is triangular via the internal -edge; every -type is triangular by definition; and an internal -edge is triangular through . Thus there are no inactive types and every palette has size at most two.
In an exact optimal allocation write its singleton and pair masses as . Then and . Deleting the singleton portions leaves a singleton-free allocation of density , at most by the singleton lemma. Hence . This part permits arbitrary thinning and does not require the original density to exceed .
When U is independent
First use full capacities, denoting their total density by and their color cost by . Write , , , , and . Then
The internal -types together with all - types form a clique, giving . Thus already implies the desired savings bound.
Suppose . Since ,
Every has positive internal degree . Use the probability measure on in the cut dual. For , put
Its -neighbors along nontriangular edges have all their internal -neighbors in . Their total -weighted mass is therefore at most , by counting the edges between these sets. Consequently
Here . Since and
the cut certificate gives
The strict inequality uses (9), , and . Completing a square yields
where (10) was used in the last line. Thus .
Finally let be arbitrary thinned demands with . Complete its allocation to the full capacities by adding missing active demand as singleton palettes; inactive additions cost nothing. The extra cost is at most . Hence
This proves (8). A remaining counterexample must therefore have positive missing - support at every maximum-degree anchor whose star is not already triangular. No reduction to has been established.
A scalar relaxation that does not extend the theorem
When is independent, retaining only the core-packing bound and the degree-weighted -bound in (11) is insufficient. For example, the scalar data
satisfy , , all block-capacity bounds, and . But the two retained bounds are
Thus neither even reaches . The -anchor bound is larger and covers these data. This is a counterexample to the stated scalar implication, not a claimed realizable coloring or a counterexample to the theorem.
Independent nonneighborhoods: saturation is unnecessary
There is a stronger theorem for the independent- case: if is independent for some anchor , then every supported thinning of density satisfies
The anchor need not have maximum degree. In particular, arbitrary missing - support is permitted.
First use full capacities. Retain , and put
There are no - edges, and every -vertex has a positive internal -degree. Independence of gives
Thus . If , every supported type is internal to and the result is immediate; assume .
Write , , and . Three bounds from the cut certificate will be used:
For the first, average uniformly over , discard the nonnegative triangular term, and use Cauchy--Schwarz: . For the second, every -vertex is nontriangular, since its neighborhood lies in independent . Averaging over gives , and
For the third, use the internal-degree-weighted measure , , as in the saturated-cut proof. With , counting the internal neighbors of the nontriangular -neighbors of gives
Moreover . Insert these in the cut dual and use , proving . A possibly negative lower bound for the second neighborhood measure causes no problem.
If , (13)--(14) give
Both factors are positive. For , . For , completing a square gives
where the last inequality follows from
Hence .
If , the case follows from . If , then
Finally, if , take the convex combination of with weights . The -terms cancel, giving
This proves the full-capacity result. Completing thinned demands to full capacities at singleton cost at most proves (12).
Further constraints when both internal U edges and missing cut edges remain
The general case is still unresolved. The following are proved constraints, not a completed scalar optimization.
Let have maximum degree , and write
The full-density condition gives . The heavy-degree corollary handles . In the remaining case, since every -type has degree at most , at least mass in has degree at most . Consequently
More precisely, putting gives
so .
For , let ; thus . For , put . A nontriangular edge requires . Since the entire neighborhood of has mass ,
For , the nontriangular edge mass between and is at most
Indeed only rows with contribute, and their remaining neighborhood mass is at most . These bounds avoid counting a high-defect -row as adjacent to more than its remaining neighborhood.
There is also a local joint-walk clique. Put . The types with are pairwise three-walk-related: otherwise two neighborhoods in of masses are anticomplete. If their intersection has mass , at least ordered -pairs are missing, contradicting . Together with these types form a clique in both walk relations. The discarded -mass is at most . This estimate does not guarantee the mass or outside-degree condition needed by the dominating-clique theorem.
A cut-only palette-size condition
This is a further sufficient condition, not a reduction of the general case. At a maximum-degree anchor write , , , and use full capacities. Put
Let be the inactive cut mass. Suppose every compatible palette restricted to active cut types has size at most two. Assign dual value one to internal -types, one half to active cut types, and zero elsewhere. This is feasible: internal -types form a conflict clique and conflict with all active cut types. Therefore
In particular the target savings bound follows if . This restriction concerns only palettes on the cut, not palettes elsewhere, and permits both internal -edges and missing cut support. No general anchor with this property has been proved to exist.
There is also an anchor-specific singleton bound. In any exact full allocation, at most allocation mass on internal -types can belong to nonsingleton palettes: each such palette contains only one internal -type, no cut type, and at least one internal -type. Its partner demand is bounded by . Thus singleton mass is at least . Deleting all singleton portions leaves density
This improves the general singleton-free density bound but does not bound the savings: inactive demand and palettes of size at least three can still have savings exceeding half their demand. Even when , a charging argument must account for additional singleton allocation on - types; the displayed singleton estimate alone is insufficient.