Research notes on every problem, and a library of the papers behind them. Built from the open erdos repository.
Updated
Packing Colourings and the Size Ramsey Number of K(n,n)
evidence/: Exact checks of the n = 2 and n = 3 host diagnostics: stored colourings of complete bipartite hosts and of K_17, the counting thresholds, b(2) = 5, and the exhaustive n = 2 host class with its orbit-count completeness check. Also checks the 30-hyperplane colouring at n = 4. A separate discovery script writes the SAT instances.
This lead's results that are not drawn from a cited source are Plasma AI's, credited to Plasma AI.
Target and status evidence
Problem 560 asks for the size Ramsey number , the least number of edges of a graph every red/blue colouring of which contains a monochromatic copy of , read there as its asymptotic order. The problem page records the status open, with
for all : the lower bound is Erdős and Rousseau's Theorem 1, and the upper bound is Proposition 2.1 of Conlon, Fox and Wigderson (CFW). Their Proposition 2.2 extends the lower-bound method to , with a different constant. Their Conjecture 5.1 predicts , and their Theorem 1.1 gives only on the diagonal. A status check made on 2026-10-16 (the erdosproblems.com problem page and proof-claim tab, the erdosproblems.ai discussion, the Palomar registry, an arXiv title and abstract search for size Ramsey results on bipartite graphs since 2023, and this record) found no claim that determines the order.
This page is the editable proof sketch of two routes to the order. The direct route is the primary one: prove the integral overload assertion (N0) below for complete bipartite hosts with one side of order and the other of order . With the cited Erdős--Rousseau lower bound this would give , against Conjecture 5.1. The opposite route aims at the lower half of Conjecture 5.1: colour every host with at most edges without a monochromatic .
The page contains no proof or disproof of the target. Its findings are the following. (N0) is open, and a proof of it must exclude integral families although the balanced fractional family is feasible; several natural proof mechanisms fail at stated scopes, and a Harris-product argument cannot decouple the colours (Lemma 8). Affine colourings obey a stronger overload bound when (Proposition 7), excluding linear-code cosets in that range. Lemma 9 reduces (N0) to families in which every columns have fewer than common neighbours in either colour, after deleting points. It supplies no overload bound for those remaining families. The lower-bound route cannot pass the order without lower bounds for bipartite and ordinary Ramsey numbers of beyond the random-colouring bounds checked here (Proposition 3 and Corollary 5). That is a necessary consequence, not a proof that such colourings cannot exist. Everything here is author-recorded and not independently reviewed.
Conventions
Graphs are finite and simple. A host is Ramsey for , written , when every red/blue colouring of has a monochromatic copy of , not necessarily induced; is the least over such . The Ramsey number is the least with , and the bipartite Ramsey number is the least with . For integers , let , taking the value when this set is unbounded. Thus , and when . We use for integers . Logarithms without a base are natural. Host sizes in asymptotic formulas are rounded to integers, without changing the stated estimates.
The route as a proof sketch
There are two complete possible determinations, with distinct missing proofs. The upper-bound route below would decide the order without an arbitrary-host reduction. The lower-bound route has three further obligations beyond a local packing construction; they cannot be omitted from its conclusion.
Upper-bound route. Choose fixed and prove that, for all sufficiently large , any multiset of more than subsets of an element set has an -set contained in at least members or disjoint from at least members. Multiplicities count in both loads. This is the structural overload assertion (N0). By Lemma 1 it makes Ramsey, with edges. Together with the cited Erdős--Rousseau lower bound it determines . The implication is elementary; the structural overload assertion is unproved.
The integral family is essential. In the balanced fractional family described after Lemma 2, a total weight gives each colour load , below for every fixed and large . Thus a proof of this route must exclude integral families even though the symmetric fractional family remains feasible. Another use of that fractional capacity cannot supply the missing overload. A finite construction is useful here only through a mechanism that could control every sufficiently large ; success or failure of one such construction decides neither (N0) nor (N1).
The held links of this route are Lemma 1, the Erdős--Rousseau theorem at its library standing, and the elementary edge count. Its only gap is (N0) itself, whose one-colour form (N0) below implies it. Lemma 9 permits imposing its two common-neighbourhood bounds, with a change in the fixed constant ; proving overload even with these extra hypotheses is open. The section on attacks on (N0) records the mechanisms tried for it, the class of colourings where it is proved, and the reasons the other mechanisms fail.
Lower-bound route. Target (T): there is such that for all large every host with has a colouring without a monochromatic . The proposed argument has four steps, each a gap:
- Hosts with , and of order : integral packings near the capacity of Lemma 2. This contains (N1) below. Open.
- Every other with and , including the balanced host . Step 1 says nothing here. Open, and at the balanced host it is (N2).
- Complete hosts with . Open; also (N2).
- A structure step reducing an arbitrary host to pieces of the kinds in steps 1 to 3, with compatible colours on shared edges and control of copies that use several pieces. Open; no mechanism is proposed here.
Steps 1 to 4 together give (T), and (T) gives the conclusions of steps 1 to 3 directly, so each of those is necessary. The held links are Lemmas 1 and 2, Propositions 3 and 4 and Corollary 5 below, author-recorded and elementary, and the cited source results at their library standing (statements checked, proofs followed but not checked). No provisional premise is adopted. The route still faces step 2 at its balanced end even if step 1 is supplied: by Corollary 5(a) step 2's conclusion is a lower bound for the bipartite Ramsey number a factor of order above the literature lower bound quoted below. That input is unknown, not known false. Proposition 4 explains why two natural first-moment arguments do not supply it.
The packing form of complete bipartite hosts
Colour with parts () and (), and let be the red neighbourhood of . The family may repeat sets.
Lemma 1 (packing form). For the colouring has no monochromatic if and only if every -set satisfies
Proof. A copy of is connected and bipartite, so its bipartition is unique up to exchange. The host's bipartition restricts to one, so each copy is with , and . It is red exactly when for every , and blue exactly when for every .
Call the two counts the red and blue loads of . Write ; the summand is convex in , so the minimum is at .
Lemma 2 (capacity). If , then . Hence , where when , that is when .
Proof. Each is counted in the loads of at least pairs (an -set and a colour), and there are pairs, each of load at most in a good colouring.
This is the counting behind Proposition 2.1. When , repeat any column whose red and blue parts both have fewer than points to obtain . For even , and with
For odd , choose between the two middle column sizes with equal probability, uniformly within each size, and set . Each colour has this containment probability; the same asymptotic formula holds. So for the count forces once exceeds , and the cheapest host it certifies has edges, least at , which is the of CFW p. 4 at .
The local packing question (N1). Is there a fixed and with for all large , that is, an integral family reaching a fixed fraction of the capacity? The lower half of Conjecture 5.1 implies a yes for every : if , then every with fewer than edges has a good colouring, so . If instead along a sequence of for a single , the conjecture fails, since then has edges along it. The question is open here.
The opposite extreme (N0). If for one fixed there is a constant with for all large , then and . With the Erdős--Rousseau lower bound the order would be : the problem would be settled, against Conjecture 5.1, with no new Ramsey lower bound. The bounds established here are only : the lower bound is the first moment computed below, and deleting one row from each monochromatic copy, or using the local lemma, improves its constant but not the order . The growth of decides between (N0), bounded, and (N1), linear in ; intermediate growth is not excluded.
The fractional relaxation reaches the unrounded bound exactly when : weight the middle-sized columns symmetrically, so every load equals the total weight times . The integer capacity is its floor. For independent balanced columns chosen by this distribution, the expected number of monochromatic is . With and it is at most , which tends to when , so these hosts with order edges have good colourings. With it is at least for every fixed . Each -set has a binomial load of mean order ; when the coefficient of that mean is strictly below , its tail beyond is , against sets. For larger coefficients that tail need not be small. The diverging expectation defeats this first-moment criterion, not the existence of a packing.
The balanced-host obstruction
Proposition 3. For every ,
Hence if and , then and .
Proof. and are Ramsey for by definition, with and edges.
Proposition 4 (the first-moment level). For every , . For every fixed and , the expected number of monochromatic in a uniformly random colouring of , and in the colouring where each vertex of one side picks a uniformly random set of red neighbours on the other, tends to infinity.
Proof. For , the first claim follows from . For positive integer , there are copies, and a uniform colouring makes each monochromatic with probability . Since , the expectation is below when , and a good colouring exists. Taking the integer part of the threshold proves the first claim for . At , the inequality gives an expectation at least . For all sufficiently large , in the side-balanced colouring a copy is red with probability , where , and blue with at least that probability; so the expectation is at least , which tends to infinity.
The literature sits at the same order. Souza (arXiv:1910.13912v2, 2021, introduction, read there) states the best bounds known to him as , the lower bound due to Hattingh and Henning (Utilitas Math. 53 (1998), 217--230; not read here) and the upper bound to Conlon, and he remarks that the local lemma improves the first-moment method only by a constant factor. Two 2026 preprints, cited in the section on attacks on (N0), claim ; an upper bound does not change the comparison here. For , Chung and Graham's Theorem 4 is a counting bound of order . No source read here gives or ; this is a bounded reading, not a literature survey.
Corollary 5 (scope).
- (a) The lower half of Conjecture 5.1, , implies and : the Hattingh--Henning order improved by a factor of order .
- (b) Any lower bound with along a sequence of gives and along it.
- (c) Every determination either has , and then its upper half exhibits Ramsey hosts with edges, or has unbounded, and then its lower half proves (b) along a sequence.
So the problem cannot be settled at the conjectured order without a lower bound for bipartite and ordinary Ramsey numbers of beyond the first moment by a factor of order . The balanced host with has at most edges; it is complete bipartite, but its sides are far larger than . Packings on hosts with a side of order alone supply no colouring of this host; an additional implication is needed. By Proposition 4 the uniform and side-balanced colourings have unbounded first moment there. The latter distribution illustrates hypergeometric sampling but is not the full interval colouring of CFW, so Proposition 4 alone is not a barrier to all such colourings. In CFW's proof of Theorem 2.4 the hypergeometric choices are made only inside the dyadic intervals of the first vertices of the degree order, with , with the paper's rounding conventions; the quantity is undefined at . Theorem 2.4 assumes , and its specialization at , followed by containment in , gives only on the diagonal. This first-moment limitation at balanced hosts is also discussed in the remark after Erdős--Rousseau's Theorem 1; the necessary implication in Proposition 3 is elementary, not asserted to be a new Ramsey bound.
What the conjecture needs therefore splits into necessary local statements, none of which is proved:
- (N1) near-capacity packings with a side of order , as above;
- (N2) for some and all large , colourings of and of with without a monochromatic .
In the packing form of Lemma 1, (N2) for asks for : subsets of an -set, every -set inside at most of them and disjoint from at most . This is the problem of (N1) in the opposite regime. The mean load tends to , far below the capacity, and the difficulty is the number of -sets, not the capacity. No implication between (N1) and (N2) is known here, and together they still leave every other host. A refutation of (N1) for one would give along a sequence. (N2) fails only if or is along a sequence, exponentially below the known upper bounds. CFW recall in their Section 3.1 that some have conjectured for the classical diagonal Ramsey numbers; an exponential gain of that kind for both and would give (N2) with room to spare. A gain for alone suffices too, since : contains the Ramsey host . No implication from the classical diagonal conjecture to these bipartite targets is asserted. The obstruction is to proving (N2), not evidence against it.
What an independence heuristic suggests
This section is a heuristic, not a bound. Let be the expected number of monochromatic copies under independent balanced columns, and let be the number of colourings in that sample space. For even , , so as . Pretending that the forbidden-copy events behave independently suggests good colourings. Its threshold is , not ; there is no justification here for that independence assumption.
For and a target whose -side is among the vertices, the expectation for this orientation is . In the regime , and , the leading factorial and hypergeometric approximations give
at the guessed threshold. This expression is minimized at and has order there. This is the scale of CFW's Theorem 1.1, whose proof uses dyadic intervals of size about . It is a comparison of scales, not an alternative proof of that theorem: arbitrary hosts and, where present, the other orientation of still require control. For , CFW's Corollary 1.2 rigorously matches the counting upper bound up to constants.
On the diagonal the same formal calculation gives
For this suggests the smaller order , and for it suggests , the constant in the Hattingh--Henning lower bound. These are only predictions of the model. Its predicted count of good balanced colourings is unsupported, and it does not count all colourings. A proof of the conjectured order would require structured colourings that this approximation misses, while a proof of order would require actual Ramsey hosts at that scale, for example (N0).
The arbitrary-host step
CFW colour an arbitrary host by one global rule: order the vertices by degree; inside the first vertices, cut into dyadic intervals, each later vertex picks a uniformly random half of every earlier interval as its possible red neighbours, and edges inherit these choices; all other edges are coloured uniformly. Compatibility on overlaps is automatic. A reduction to complete bipartite pieces coloured separately is weaker in an essential way: compatible colours on shared edges do not prevent a monochromatic copy whose edges lie in several pieces, so the step must control such copies or impose a global invariant. Corollary 5 shows that no form of this step avoids the balanced obstruction, since it appears already for the single host , and the complete host adds the same requirement on .
Constructions tried for near-capacity packings
These attempts at (N1) fail at the stated scope. Only the affine item is a nonexistence theorem, for the class and parameters of Proposition 7.
- Independent columns, and the local lemma. The first moment reaches of order only, as computed above. A forbidden-copy event has probability and depends only on its columns. Its number of dependent events, including itself, is at most . Applying the symmetric local lemma with this bound replaces the first-moment expression by at most times that expression. At the resulting sufficient criterion still reaches only , for a constant . This diagnoses this dependency bound, not every possible use of the local lemma.
- Linear and affine codes. Take the rows to be a coset of a binary code of dimension , so . If the generator columns indexed by have rank , each pattern on occurs or times. If a constant pattern occurs on , a good family therefore needs ; no such restriction follows when neither constant pattern occurs. Proposition 7 shows that an overload occurs for every code once and : some generator columns indexed inside one colour class of a fixed row lie in a subspace of codimension , and then at least rows agree with that row on them. This excludes the affine class at those parameters; nonlinear codes are not covered.
- Exact designs. A family in which every -set has the same red load, with nonzero load and all rows of one size , is an -design. Put . Its incidence matrix between rows and -subsets has a Gram matrix proportional to that for all -subsets: each entry counts a union of at most points. The full incidence matrix has column rank when , so the design needs at least rows, far above the capacity when . Repeated rows do not change this rank bound. Upper bounds on loads, as in (N1), give no proportional Gram matrix, so this argument does not exclude the required packings.
- Random greedy addition. At mean load of order the -sets already at load number , so a new column must properly 2-colour that hypergraph of -sets on points, far beyond the edge counts that guarantee such a colouring. This is a heuristic count, not a proof.
For completeness, the full-incidence rank fact follows by induction on . If coefficients sum to zero over the -subsets of every -set, subtract the equations for and . Induction on the remaining points, with parameters , gives for every -set disjoint from . Thus all are equal, and a -set equation forces them to be zero. The base is immediate.
An attempted two-stage count for (N0) also supplies no improvement at the parameter choices tested. First seek common red columns and rows; then seek of those rows with further common red columns. Using the balanced averaging estimates at both stages suggests sufficient sizes of order columns, of order , and therefore initial rows. For their product is of order . This parameter calculation does not rule out a sharper two-stage argument or prove a necessary size for such hosts.
Attacks on (N0)
(N0) asks for a reason why loads cannot all stay below when the mean load is a large constant. The required precision is high. For independent balanced columns with large, the first-moment estimate puts the largest load near , only a factor above . This is a heuristic estimate, not a theorem about the maximum. It suggests testing candidate overload arguments on random-like families as well as structured ones.
The same tightness holds for every host, not only for this one. By Erdős and Rousseau's Lemma 1, at its library standing, a graph with edges has at most copies of . Under a uniform colouring the expected number of monochromatic copies is therefore at most , which is . So the upper half of a answer must show that some host is Ramsey although a uniform colouring of it has only exponentially many monochromatic copies in expectation, whereas a balanced host with vertices in each part, as in the density theorems below, has of them. The lower half of Conjecture 5.1 faces the mirror problem: hosts with edges can have about expected monochromatic copies, so it needs colourings far better than uniform ones.
The one-colour form (N0). There are such that, for all sufficiently large and , every multiset of more than subsets of , each of size at least , has an -set contained in at least of its members.
Lemma 6. If (N0) holds with constants , then (N0) holds with and .
Proof. Take a colouring of with . Each column has a red or a blue neighbourhood with at least points, so for one colour more than columns have a neighbourhood of that colour with at least points. By (N0) some -set lies in at least of those neighbourhoods, which is a monochromatic .
The converse is not claimed: (N0) bounds families whose complements may be heavily loaded. It is the unbalanced density form of the problem: a bipartite graph with parts of sizes and more than , in which every vertex of the larger part has degree at least half the smaller part, contains . The Kővári--Sós--Turán count (Lemma 2 for one colour) proves this only when the larger part has order . That count is Lemma 1 of D. Conlon, A new upper bound for the bipartite Ramsey problem, J. Graph Theory 58 (2008), 351--356 (the author's preprint was read at statement and proof depth). He remarks there that a random construction with vertices on the small side has density , no , and a large side of order ; at and that is order . Average density alone is weaker than the column-degree condition in (N0). The balanced-column first-moment argument above, using columns of size , gives the same order under that degree condition, leaving a factor- gap for (N0) itself.
Two 2026 preprints claim that this kind of count can be beaten on balanced hosts. D. Mubayi, Sharper Zarankiewicz and diagonal bipartite Ramsey bounds (arXiv:2609.32937v1, 2026), claims in Theorem 2.1 that a bipartite graph with vertices in each part and at least edges contains once , so . Y. Person, Another proof that the two color bipartite Ramsey number is (arXiv:2609.40288v1, 2026), claims by a related argument whose density form needs both parts of size at least for (Theorem 1.1). Both were read at statement and outline depth; their proofs are not checked here, and neither is used as a premise. They do not apply to . Mubayi's process repeatedly passes to the common neighbourhoods of a chosen edge. At density about , the heuristic loss is a halving of both parts at each step. Here the smaller part has only vertices, so after about steps fewer than of its vertices remain. Mubayi's potential, essentially the harmonic mean of the part sizes times the density to the power , starts near here, far below the constant threshold his argument needs. Person instead alternates spines between the two classes and reduces the remaining target sizes logarithmically (Section 3). His density theorem still requires both initial classes to have exponential size. These facts explain why the stated theorems do not supply (N0); they do not rule out an adaptation. Their claimed improvement over the balanced counting bound is a factor of order , the factor the direct route seeks in its different parameter regime.
Proposition 7 (affine colourings). Let , , and . Take vectors and bits for , and colour the edge between and red exactly when . This colouring of contains a monochromatic .
Proof. Fix and let be a colour class of its neighbourhood with ; say it is red. Choose a uniformly random subspace of dimension . For , the probability that is when and otherwise, the inequality because . Since , the expected number of with is greater than . Fix such a , and let be of these points. Let be the set of with for all , a subspace of dimension . For and we have , so is joined in red to all of , as is. Since , the set and vertices of span a red .
The colourings in Proposition 7 are exactly those whose neighbourhood multiset is the image of an affine map , that is, a coset of a binary linear code with every codeword repeated equally often. So with a side of at least such colourings fail already at columns, far below the random order . Such cosets cannot witness (N1) at , and cannot refute (N0), whose constant is existential. The proof is a pigeonhole on a low-dimensional space of column functions; a general family has no such space, so the argument does not extend. For colourings by quadratic polynomials in , the analogous step needs points whose polynomials are all constant on one affine subspace of dimension . That is a condition of codimension about on each , so the pigeonhole needs far more than points. That class is not excluded.
There is also a direct counterexample to extending this particular certificate to all quadratic families. Fix , put , take , and choose the polynomials independently and uniformly from the Boolean polynomials of degree at most two in variables. On a fixed affine -subspace their restrictions are uniform among polynomials, where . Surjectivity of restriction follows by extending affine coordinates on that subspace to coordinates on the whole space. There are at most affine -subspaces. The union bound for some of the polynomials all being the same constant on one of them is
Thus some such quadratic families have no monochromatic rectangle with points and an affine subspace of at least columns. A larger affine subspace would contain one of dimension . This does not say that the colouring has no monochromatic : its columns may be an arbitrary set, and the calculation leaves those sets uncontrolled. The quadratic construction question remains open here; an affine-subspace witness alone cannot exclude the whole class.
Lemma 8 (marginal avoidance probabilities). Fix , let and , and colour uniformly at random. There is such that, for all large , the probability that there is no red is at least , and the same holds for blue.
Proof. Write and colour each edge red independently with probability . The expected number of red is at most , so the event of no red has probability at least . By Chebyshev's inequality at most of this measure has fewer than red edges, so together with at least red edges has probability at least . For a colouring with red edges, the ratio of its uniform probability to its probability under the biased measure is , which is nondecreasing in since . At it is at least , where is the binary entropy, so the uniform probability of is at least half of that. Since has order , , so and . Blue is symmetric.
No red copy is a decreasing event in the red edge set and no blue copy an increasing one, so Harris's inequality bounds the number of good colourings by times the product of the two probabilities. By Lemma 8 that product bound is at least , because has order . Even exact values of the two marginal probabilities therefore cannot make this particular bound certify zero good colourings. This does not exclude a one-colour argument with further hypotheses: (N0), for example, imposes a lower bound on every column degree. Nor does it exclude a joint estimate stronger than the Harris product.
Homomorphism counts. Sidorenko's inequality, which holds for , gives at least homomorphisms of into the two colour classes together. A homomorphism whose column images are not distinct is not a copy, and the hypothesis of (N0) restricts only tuples of distinct columns. For independent balanced columns, tuples with about distinct columns already give more homomorphisms than this lower bound by a factor larger than any exponential in (an estimate through the moments of a Poisson variable, with the Stirling numbers). This comparison leaves no deduction of an injective copy from the raw homomorphism lower bound; additional control of the degenerate maps is needed.
Greedy choices. Choosing points one at a time, each with the largest red degree into the columns red on all points chosen so far, roughly halves the surviving columns at each step. For independent balanced columns the best choices improve on halving only by a total factor while many columns survive. Once columns remain, they have about common red points, so the process can end with points and about common columns: loads of order are found greedily, but not loads of order . In such families the overloaded -sets come only from the count over all sets. This is an estimate for one family model. It supplies no greedy proof of (N0), and does not exclude a different greedy rule or potential argument.
Deleting unusually large common neighbourhoods
The next reduction uses both colours and the distinct column indices. It does not change the asymptotic size of the small part, and repeated neighbourhoods are allowed.
Lemma 9. Fix , put , and choose an integer . For all sufficiently large , a colouring of with and no monochromatic has a set of at most points in its -vertex part such that every columns have fewer than common red neighbours outside , and fewer than common blue neighbours outside . The threshold for depends only on ; there is no restriction on .
Proof. Write . Suppose that there are pairwise disjoint -sets , each joined in red to a set of distinct columns. The may overlap. Exclude their union, leaving at least columns. Each remaining column has at most red neighbours in every : such neighbours together with and that column would form a red . Consequently each of these columns has at least blue neighbours in , where .
Counting blue stars with leaves in , as in Lemma 2, gives
For and all sufficiently large ,
It follows that . But for all large , so , a contradiction. Thus fewer than disjoint red -sets of this kind exist.
Take a maximal disjoint collection and delete its union, at most points. Any common red neighbours of columns among the remaining points would extend that collection. Repeat the same argument for blue on the remaining points and delete at most another points. Deleting points preserves the red conclusion and the absence of a monochromatic . This proves the lemma.
How it composes with (N0). Fix any . It is enough to prove the overload assertion for families that already have the two additional common-neighbourhood bounds of Lemma 9. Indeed, suppose this restricted assertion holds at with threshold . Start a putative counterexample at , retain exactly columns, and apply Lemma 9 with . For all large at least points remain. Restrict to that many; the two extra bounds and both original load bounds survive. This contradicts the restricted assertion. The reverse implication is immediate. Thus, allowing a change of , the restriction is equivalent to (N0), not a proved substitute for its missing overload step.
Where the attempted continuation fails. The deletion proof obtains a blue density above from many disjoint red common neighbourhoods larger than . Once those neighbourhoods have size at most roughly , its forced blue density is no longer above . This is a genuine limit of that local inference. On points one may take all-red columns and arbitrarily many further columns, each with exactly red and blue entries. No -set has red or blue load , yet the first columns have common red neighbours. This example has only points; it does not refute (N0) or the possibility of a stronger deletion theorem using global information.
In particular, the attempted next implication, from the pruned common-neighbourhood bounds to , is unproved. Applying the capacity count on the remaining points still gives order . Applying it separately to small neighbourhoods does not control -sets spread over several of them. A proof must supply that global step or a different mechanism; it cannot treat the deletion lemma itself as the integral overload.
Finite diagnostics at n = 2 and n = 3
The evidence checks every witness colouring below by direct enumeration and recomputes every counting bound; solver verdicts and cited theorems are marked as such.
, every host (exhaustive). , attained by . A vertex of degree at most can be removed from a host without changing whether it is Ramsey for (colour its two edges differently), so a smallest Ramsey host has minimum degree at least , hence at most vertices when it has at most edges. Every graph with minimum degree at least and at most edges (313 isomorphism classes on to vertices) has a good colouring, and by enumeration of all colourings.
, complete bipartite hosts (exhaustive). , (the capacity), and for because , that is . The cheapest complete bipartite Ramsey host is with edges.
, complete bipartite hosts (exhaustive over the class).
| standing | |||
|---|---|---|---|
| 3, 4 | none | general colouring | |
| 5, 6 | 40 | 40 | witness at 40; capacity |
| 7, 8 | 28 | 28 | witness at 28; capacity |
| 9 | 24 | 22 | witness at 22; 23 refuted by the solver only |
| 10 to 14 | 24, 22, 22, 20, 20 | at least 20, 18, 16, 15, 14 | witnesses |
The cheapest complete bipartite Ramsey host for is with edges: it is Ramsey by Lemma 2, and every with has a witness colouring (by symmetry , so ). The counting capacity is reached for ; the solver verdict indicates a deficit at . Neither observation predicts the behaviour for large .
, complete hosts. has a colouring without a monochromatic (a checked witness), so no host on at most vertices is Ramsey. is the theorem of Harborth and Mengersen (in Graph Theory, Combinatorics, and Applications, Vol. 2, Wiley, 1991, 639--644; not read here, cited from Wu, Magnant, Salehi Nowbandegani and Xia, arXiv:1710.10455v1, Theorem 6). The SAT search returned no verdict for , and no checked unsatisfiability certificate is retained. Given that theorem, .
, translation symmetry and its scope. Translation-invariant families on need not have loads divisible by . In fact, the affine hyperplanes give a good colouring of . Write for , . A -set has affine dimension ; exactly hyperplanes contain it. Complements are hyperplanes too, so the blue load has the same bound. Translation permutes these sets. The evidence constructs them and checks every load and translation. This proves , below the capacity ; it makes no assertion of optimality.
The invalid obstruction to all translation-invariant families argues that the four translations preserving an affine plane force its load to be divisible by . That needs a free action on the rows containing the plane. Hyperplanes have nontrivial stabilizers, and a plane's load in this example is , not a multiple of .
No nonempty good family exists in the narrower model used by the translation search: take all translates of each base row as a multiset, retaining repeats. For a fixed plane , its four preserving translations act freely on the translation indices, so each base row contributes a multiple of to 's load. Every base row and its complement would therefore have to contain no plane. A plane-free subset has all unordered pair sums distinct, so it has at most points, since ; two such sets cannot partition points. This also excludes a row with trivial stabilizer in any good translation-invariant family, since its orbit has distinct members. It does not exclude shorter orbits with their members included once, as in the hyperplane construction. The distinction between an orbit and a multiset of all indexed translates is essential to the search's scope.
No near-capacity value of was decided. The bounded cyclic-orbit searches on columns at rows and columns at or rows, and the unrestricted instance on columns at rows, were undecided. There is no nonexistence conclusion from those searches.
So at and a complete host beats every complete bipartite host. The comparison does not bear on the order: is and against and , and whether complete hosts stay competitive as grows is exactly the size of relative to in Proposition 3. The choice to compare these two classes at is heuristic; no exhaustive search of arbitrary hosts is supplied.
Consequential gaps and next tests
- (N0), or its one-colour form (N0), is the only gap of the direct route. A bounded ratio for one settles the problem at order ; a ratio of order for every fixed is necessary for Conjecture 5.1; a ratio that is along a sequence for one refutes the conjecture. Unknown. The independence and random greedy heuristics on this page suggest a bounded ratio, that is, (N0); they are predictions, not proof steps. The affine result excludes only its stated class. The marginal-probability product does not suffice (Lemma 8). The estimate for the largest load in random families places it within a factor of , a useful test for proposed quantitative arguments. The homomorphism and greedy calculations recorded here supply no overload theorem. Neither cited density theorem covers the required unbalanced host.
- On the direct route, Lemma 9 allows one to impose its common-neighbourhood bounds after deleting only points. The next discriminating step is a global integer inequality for these remaining families that forces a load of at . A deduction from one small neighbourhood alone has the explicit -point example above. An argument for several neighbourhoods must control -sets spread over them; no such argument is supplied here.
- On the construction side: colourings by quadratic polynomials over , the first algebraic class that the pigeonhole of Proposition 7 does not exclude. Decide whether such colourings can keep every load below with . Such colourings for every would refute (N0) for complete bipartite hosts with a side of order ; an argument that they cannot would be the first structured class beyond the affine one, and its mechanism is a candidate for (N0). The calculation after Proposition 7 rules out insisting that the column witness be an affine subspace; it does not exclude other witnesses.
- Another possible test is the random greedy process that adds balanced columns one at a time, each uniform among those keeping every load below . In the triangle-free analogue for such a process beats the first-moment order. For a fixed , an unbounded ratio would exclude (N0) at that , but intermediate growth would still fall short of (N1). Refuting (N0) itself requires unbounded ratios for every fixed . A random-like heuristic predicts that the process stops near twice the first-moment threshold, when the saturated -sets, about of each colour at mean load , stop admitting a balanced column that contains none of the red ones and meets every blue one. The test is whether the process corrects itself beyond that prediction, as the triangle-free process does. The heuristic count for random greedy addition in the list of constructions concerns mean load of order and does not decide this. Finite values of and near matter only as checks on such mechanisms.
- (N2), for the lower-bound route: colourings of and with of order without a monochromatic , beating the Hattingh--Henning order by a factor of order . Unknown here; the random-colouring bounds checked here have only the first-moment order. Any proof of the lower half of Conjecture 5.1 contains a proof of (N2), so every route to that half must supply it. It is a missing input, not a proved impossibility of packing routes.
- The arbitrary-host step of the lower-bound route, which must control copies spread over several pieces, and (N1).
The direct route needs only (N0); nothing else on this page is a premise of it. The lower-bound route is reopened by colourings of and of the strength in (N2), beyond the first moment, for instance through a reduction of the balanced case to the unbalanced one, which this page does not have. Even then it needs (N1) and a mechanism for arbitrary hosts, which it also lacks.
Current review
Unreviewed. Lemmas 1, 2, 6, 8 and 9, Propositions 3, 4 and 7, Corollary 5, the quadratic affine-subspace calculation and the diagnostics are author-recorded; no independent review covers them. The statements marked as estimates in the section on attacks on (N0) are not proofs, and the preprints cited there are outside claims whose proofs are not checked. The solver verdict at and the cited theorem for are not checked by the evidence.