Research notes on every problem, and a library of the papers behind them. Built from the open erdos repository.
Updated
Large clique clusters
Status. The following is a proved structural consequence of the hereditary density inequalities and the localized independence inequality recorded in Packing tools. It does not resolve Problem 617 or produce a packing of full 's.
Let be an integer at least three, and put
Suppose that a graph on vertices satisfies
In particular, a least color in a hypothetical counterexample satisfies (1).
Write for the largest order of a clique containing . The -vertex case of (1) gives for . The localized independence inequality, in the uniform-vector form already checked in the research notes, gives
Consequently, putting , we have
The second inequality follows by combining (2) with . Each summand in that inequality is nonnegative.
1. The clustering lemma
Fix an integer such that
Let consist of all cliques of order at least . Join two such cliques when their intersection has at least two vertices, and let be the unions of the connected components of this clique-intersection graph. Then
- for every ;
- cliques belonging to distinct components intersect in at most one vertex;
- if and
then
- the uncovered set satisfies
Pairwise intersection and transitivity
Take cliques of orders , where , and put . Suppose that and . Its order is
All nonedges of are between and . Therefore the inherited density inequality requires
Equivalently,
The allowed interval is . At both endpoints,
Since is convex, (7) is impossible throughout the interval. Thus
If and both and are at least two, then (8) gives
Consequently the intersection-at-least-two relation is transitive (with its evident reflexive interpretation). Every two cliques in one connected component intersect in at least two vertices, and (8) applies to them.
Each cluster union has at most vertices
Fix an anchor clique in one component, with , . For any vertex of its cluster union outside , choose a clique of that component containing . The preceding transitivity argument and (8) give
The vertex is adjacent to every vertex of , so it has at most nonneighbors in .
If the cluster union had at least vertices, choose of these outside vertices. Their union with the entire anchor has exactly vertices. Its number of nonedges is at most
This contradicts , proving . Notice that this argument follows the transitivity proof; no bound on a cluster union was used in proving transitivity.
Overlaps and uncovered vertices
For a covered vertex , a maximum clique through belongs to one of its clusters. Choose that clique, and choose one clique through from each of its other clusters. Any two chosen cliques intersect only in : an intersection of size at least two would put them in the same cluster. Hence their sets of neighbors of are disjoint and
For an uncovered vertex, still holds. Summing and using (3) proves (5). An uncovered vertex has , hence ; summing proves (6).
2. Number and total deficits of maximum anchors
In each cluster choose a clique of maximum order among all cliques in that cluster, and write
Then
Here is a vertexwise check of the first inequality, which avoids assuming that a globally maximum clique through a vertex is its fixed anchor. Put . If belongs to at least one anchor, choose a maximum clique through , and call its cluster .
If , then : maximum order within its cluster gives , and containment of gives the reverse inequality. Thus , and all other anchors through contribute at most each.
If , at most anchors contain , and their total contribution is at most . In either case,
For a vertex belonging to no anchor, the same inequality is immediate. Summing proves (9).
The maximum anchors from different clusters have edge-disjoint edge sets, so
Expanding gives the useful bound
3. Explicit square-root-scale form
Assume and take
All three inequalities in (4) hold. Then
and
For the uncovered bound, use and . For the overlap bound, (5) equals
The final fraction is at most , because
for and .
Also . Applying (9) and the overlap bound,
where the second inequality is , valid in the stated range. This proves the bound on .
The lower bound in (12) follows from . For the upper bound, (10) gives
The strict final inequality follows from , valid for . Since is an integer, .
4. A disjoint packing of near-full cliques
Assign every vertex lying in several anchors to just one of those anchors and delete it from the others. The total number of deletions, counted with multiplicity, is at most . Delete completely every resulting anchor that lost more than vertices. At most anchors are discarded, and every retained anchor is a clique of order at least .
For one can use
Indeed, the preceding exact bound for and show that (13) follows from
which reduces to . Therefore
Combining this with (12), the number of retained pairwise disjoint cliques is greater than
Thus, in particular, there are at least
pairwise disjoint cliques of order at least . They cover all but vertices.
Limitation
This gives actual large cliques and exact upper capacity for every overlap cluster, with only excess incidences. It does not say that the clusters themselves are complete, or that all vertices are covered. In particular, the packing consists of cliques of order , not full 's. The inherited span theorem does not presently apply to the remaining square-root-scale independence range.
5. Balanced disjointification
All maximum anchors can be retained, instead of discarding some of them. Put . There are pairwise disjoint subcliques with
For a family of anchors its overlap loss is at most . The first bound uses global excess incidences; the second uses the fact that two distinct anchors meet in at most one point. Thus every family has enough distinct vertices to meet the demands , and the capacitated form of Hall's theorem applies. Negative demands, if any, are replaced by zero. For the square-root choice of , every retained block has order , and their number remains greater than . They are still not full cliques.
6. A sharper cluster-deficit tradeoff
Write , so , and put . Then
For a covered vertex , choose the cluster of a maximum clique through . Its anchor deficit is at most ; hence
The uncovered set has order , and every one of its vertices has deficit at least . Summing gives
Use and integrality to obtain (14). When , the number of full anchors is therefore at least
This is a dichotomy between missing clusters and full anchors, not a proof that the near-full anchors complete.
7. The upper cluster count is for large
For , one can sharpen (12) to . If , the edge budget outside all anchor cliques is at most
Let count vertices of shared with another anchor. The three largest have sum at most : the excess over their contribution to consists only of vertices shared entirely within those three anchors, and there are at most three such vertices. Discard the two anchors of largest . In each of the remaining anchors, the vertices private to the full anchor family number at least for .
All edges between these private parts lie outside the anchor cliques. Independent uniform representatives have expected conflict count at most for . An independent transversal contradicts .
8. Joint deficit and degree-variance accounting
Proved. For , the cluster count in Section 3 satisfies
This improves the upper cluster count, not the unrestricted coloring assertion. The case and the completion of clusters remain open.
Put , , and
The localized independence inequality gives . Sum the exact identity
and use . It follows that . Since , the edge budget gives
Let and keep . Clique geometry gives, when ,
The function increases for . Hence
Here , and expanding gives the last inequality. Combining this with (9) and (16) yields
Section 7 already gives , so assume . Counting anchor incidences gives , while (10) gives . Substitute the first in (17) to obtain
Consequently
Also for . Substituting into (17) gives
Let count edges outside the union of the anchor edge sets. Those edge sets are disjoint. The edge budget and the bound on give
Let count vertices of that belong to another anchor. For any two anchors . Indeed each shared vertex contributes at most its cluster multiplicity minus one, except a vertex lying in both chosen anchors and in no other cluster; there is at most one such vertex. Drop an anchor with largest . In each of the remaining anchors, retain only vertices private to the entire anchor family. Each retained part has order at least
for . Their cross edges are all among the edges in (19). Uniform independent representatives have expected conflict count at most
They therefore have an independent transversal, contrary to . This proves (15).
The private-vertex restriction is essential here. Balanced disjointification alone does not ensure that all cross edges lie outside the original anchors: an edge of a third anchor may join vertices assigned to two different retained anchors.
9. Two thresholds in a minimal-ratio core
Proved refinement, with an unresolved extension step. Here work in the minimal-ratio core, not the original -vertex graph. Write
Choose , where satisfies the three clustering hypotheses (4), and assume . Form clusters from all cliques of size at least , but retain only clusters whose largest clique has size at least . For their maximum anchors and cluster sizes put
Let count retained clusters, , and let be their excess vertex incidences. Then
A vertex in retained clusters has cliques through it, each of size at least , intersecting pairwise only at that vertex. Thus
Summing proves (20). Every uncovered vertex has clique deficit at least . At a covered vertex the smallest retained anchor deficit is at most its local clique deficit: if its maximum clique belongs to a retained cluster this is immediate; otherwise its deficit is at least . The same vertexwise counting as before therefore gives
The bound on and integrality prove the first inequality in (21). Since , the second follows. The anchor-incidence arguments from Section 2 give (22).
Let be the vertices of belonging to no other retained cluster. Then these parts are disjoint and
For a vertex , the broader cluster threshold gives
Otherwise and its anchor neighbors form a clique of order at least meeting in at least two vertices, putting in .
If counts edges between distinct , then
A private-part vertex in has neighbors outside that anchor, where . Summing over the disjoint private parts proves (24). For fixed these formulas imply , , and .
There is an exact way to discard large overlap losses. If is the number of nonprivate vertices in , then : a vertex of cluster multiplicity contributes at most . Discarding the at most anchors with leaves parts of size at least . For fixed small , their normalized cross-edge weight is at most . This is near the independent-transversal union-bound threshold, not strictly below it.
Why this does not justify suppression
The linear independent-outsider bound in Saturated-row suppression requires a nearly complete set of order . For a mere clique of order and an independent outside set of order , the inherited cap only gives
This follows by subtracting from . The term of order cannot be discarded.
In particular, when , two independent outsiders can partition and cover by their neighborhoods on a graph of order at most . Every hereditary cap is then vacuous, even if each outsider misses a linear number of clique vertices. Also the missing-neighbor margin in (23) concerns the full anchor, not its private part; removing shared vertices can remove all those missing neighbors.
No argument here proves , or proves that an independent -set in a residual extends across the retained clusters. The refinement separates useful counting and adjacency thresholds, but a quantitative transversal stability or a valid completion and extension argument remains missing.