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Independent record on Erdős Problem 644
1. Status, conventions, and source use
Neither requested assertion was resolved. No family with a fixed positive asymptotic excess over , matching upper bound, or general convergence theorem was obtained. This record distinguishes proofs, conditional calculations, and computational evidence.
This record collects the analysis of the canonical problem page and cited papers.
Write for the condition that every subfamily of at most edges has a transversal of size at most two. The original condition for exactly distinct members implies whenever the family has at least members. A smaller family has transversal number at most . This distinction does not affect the asymptotic questions but matters at small uniformities.
All edges considered below are nonempty. Fractional parameters are used for finite, nonempty hypergraphs. Rank means maximum edge size.
Source passages checked
- Fon-Der-Flaass–Kostochka–Woodall, supplied source.md, Section 2, Theorem 1 and Claims 1–6: the parity construction has and transversal number . Section 3, Theorem 2: the upper bound.
- Bucić–Korándi–Sudakov, supplied source.md, Theorem 5.7: the complete-family counting lower bound. Proposition 5.6 gives the initial exact endpoint.
- Tuza, supplied source.md, Section 4.1: critical transversal certificates; Section 2, inequality (*): the set-pairs inequality; Theorem 17: the critical-vertex bound.
- Erdős, supplied source.md, Section 16: reports the exact neighboring values for local parameters 3 through 6 and states the two questions as expectations. That survey does not prove the neighboring results.
The problem page supplied with the task labels the questions open. No claim about research outside these files is made.
2. Verified starting bounds and elementary reductions
2.1 The parity family
For every integer , the 1999 paper proves that
has and .
The transversal calculation can be checked directly. The set is a transversal of size , since the only -subset contained in is , whose intersection with is even. If , then has points and contains both a point of and a point outside . Deleting one or the other produces two -sets with opposite intersection parity with . One is an edge disjoint from .
The local proof is substantive. For a hypothetical bad seven-tuple, every point has degree at most four: a point in five edges and a point in the intersection of the remaining two would cover all seven. Any two edges intersect since . Total degree deficiency from four is
The paper's intersection estimates force the degree-four spectra into the Fano-complement pattern, and parity on the exceptional points gives a contradiction. This structural classification was not proved here for arbitrary positive linear deficiency.
2.2 Private padding and the asymptotic interval
Adding private points to individual edges preserves the local condition and preserves the global transversal number. An original transversal still works; conversely, replace every selected private point by an original point of its edge. Thus finite rank- examples can be made -uniform, and is nondecreasing in .
The parity examples imply
Theorem 2 of the 1999 paper gives, for all sufficiently large ,
Therefore the verified interval is
The additive at uniformity is not an asymptotic disproof.
2.3 General linear order
The complete -uniform hypergraph on points has transversal number . Each edge is missed by point-pairs, so any edges have a common two-point cover whenever
Taking for proves
This is the specialization of the checked Theorem 5.7.
The local condition forbids three disjoint edges. The union of a maximal matching of at most two edges is a transversal, giving
These bounds establish linear order, not convergence.
The Erdős survey reports
These are reported background, not results reproved in this investigation. The exactly- vacuity issue should be remembered when quoting formulas at very small .
2.4 Finite witnesses for infinite families
If a family of finite sets has no transversal of size at most , some finite subfamily already has this property. Induct on . For , take one edge. For , fix an edge . For each , the edges avoiding have no -point transversal, since adjoining would cover the original family. Choose a finite witness for each and adjoin . A -point cover of this finite union meets at some ; its remaining points would cover the corresponding witness, a contradiction.
Consequently the finite universal upper bounds extend to the possibly infinite families in the question. This fixed-integer compactness fact does not imply any scaling or convergence statement.
3. Fractional reductions proved during the investigation
Write for fractional transversal number, whose linear-programming dual is fractional matching number.
3.1 General rounding
For every finite, nonempty rank- hypergraph,
Let , order optimal fractional-cover weights decreasingly, and put . If fewer than vertices exist, the assertion is immediate. Otherwise the sum of the next weights, padding with zeros, is at most
The reason is that the average of the first weights is at least the average of the next . Every rank- edge avoiding the first points therefore has weight less than one. Those points form a transversal.
An earlier proposed proof used induction on after deleting all edges containing a positive-weight vertex. That induction was not justified because the remaining transversal number can stay unchanged. Induction on the number of edges would repair it; the direct sorting argument avoids the problem.
3.2 A sufficient fractional threshold
If , then has . First, implies that every two edges intersect. In any bad seven-edge list, every point has degree at most four. If fewer than seven edges form the obstruction, repeat edges to obtain such a list; the same degree argument still works. For a fractional cover of total weight below ,
a contradiction.
By (3.1), this sufficient condition cannot produce asymptotic excess over .
3.3 Three sampled edges
If has , then, for ,
Normalize an optimal fractional matching to a distribution on edges. If is the inclusion probability of , then
Sample independently, allowing repetitions, and set
Then . Fix a triple attaining this bound.
The residual family is four-wise intersecting. Indeed, cover any at most four residual edges and with at most two points. One covering point meets at least two of , counted with repetition, so lies in . It meets no residual edge. The other point must meet all the chosen residual edges.
For a rank-, four-wise-intersecting family of transversal number , choose , choose avoiding points of , and choose avoiding points of . Pair and triple intersections are transversals, so the selections are possible and
Thus . A cover of together with covers , proving (3.2). Empty residual families cause no difficulty.
The exact expectation gives, for ,
because increases on . Therefore
A hypothetical sequence with consequently has
and bounded . Dropping the positive weakens the asymptotic upper restriction to
The endpoint solves on the relevant branch. No contradiction was found within this interval.
3.4 Generalization and limitations
If every at most edges of a rank- family intersect, , the same shaving argument with edges proves
For , , the three sampled edges leave an -wise-intersecting family, so
The local property alone does not bound . In projective four-space over a finite field of order , take points as vertices and hyperplanes as edges. Any four hyperplanes intersect, so any seven split into groups of four and three have a two-point cover. Here
Uniform weights on points and on hyperplanes prove the fractional equality by regularity. A projective line meets every hyperplane, so .
Even bounded did not yield a suitable core. Keeping only vertices of fractional weight at least leaves points but may delete the sole local covering points. No proof that this operation preserves was found.
4. Complete-family limit: a restricted result
For fixed , define
This is a maximum over finitely many families. The largest transversal number among complete -uniform families satisfying has asymptotic coefficient
This does not establish the coefficient for arbitrary families.
For a bad list on points, the complement spectra
are nonempty and pairwise intersecting. Their distribution under a uniformly chosen point has each coordinate marginal
Dividing the type probabilities by gives a fractional matching of weight . Thus .
Conversely, normalize an optimal fractional matching of size to a probability distribution. Every coordinate marginal is at most . Increase each deficient marginal to equality by splitting mass and adding that coordinate to the corresponding spectra. Enlarging spectra preserves intersection. The resulting balanced distribution can be rational.
Repeat a denominator-sized realization to obtain integer columns; fill the bounded remainder with the spectrum . Whenever by a fixed margin, all initial coordinate counts are below for large . Add coordinates to columns until each count equals . This preserves intersection and produces a bad list of -sets. Repeated rows give an obstruction on fewer than edges and can be extended inside the complete family. Hence the complete-family threshold is ; its cover number proves (4.1).
For , . An intersecting family with an edge of size at most two has a transversal of size at most two, so fractional matching number at most two. Otherwise every edge has at least three points and the seven capacity constraints give . The Fano lines attain with weight each. Thus the complete-family coefficient is .
The missing argument is any reduction from arbitrary families to this subclass up to . The finite parity construction already disproves exact reduction.
5. Good triples and the upper-bound strategy
Let be a good triple, meaning that their triple intersection is empty. For , write
The atoms are disjoint and . Candidate two-point covers are exactly pairs between distinct 's or between and .
5.1 A proved four-set completion
If four sets , each of size at most , collectively contain all candidate pairs, choose an edge disjoint from each . The resulting at most seven edges have no two-point cover.
Such sets exist if
Split , with
and use
The size bounds and pair coverage are immediate from (5.1).
Expanding the positive parts shows that this construction's least real threshold is
Rounding upward gives integer sets. In particular , when integral, works if
These conditions imply . Balanced good triples with all are covered.
No proof was found forcing a suitable triple in every hypothetical high-transversal family.
5.2 A rigorous obstruction to nonadaptive completion
For , consider and . Four sets of size at most cannot collectively contain all candidate pairs.
Label a point by , the sets containing it. Every label is nonempty and labels across candidate-pair adjacencies must intersect. A point of cannot have a singleton label: its bin would contain both other pair atoms, already totaling , plus that point. Thus pair-atom labels have size at least two. Singleton-atom labels have size at least one. Total incidence is at least
exactly the four-bin capacity. Hence pair labels all have size two and singleton labels all have size one.
A singleton label on must meet every pair label on , so all labels within share a coordinate. Across distinct pair atoms the labels also intersect. The union of all pair labels is therefore an intersecting edge family on four coordinates, hence contained in a star or triangle. A star puts all pair points in one bin. A triangle confines all incidences, including singleton labels, to three bins of total capacity . Both are impossible.
This refutes this nonadaptive method for some triples; it is not a counterexample to the original conjecture.
5.3 Numerical evidence
The mixed-integer program was preserved as good_triple_cover.py. It distributes each atom's mass among the fifteen nonempty subsets of four bin labels, forbids disjoint labels across candidate-pair adjacencies using support binaries, and minimizes maximum bin mass. Isolated singleton atoms next to empty pair atoms are discarded.
SciPy/HiGHS reported the following normalized optima:
| Pair-atom masses | Reported optimum |
|---|---|
These are not independently certified exact optima. For the first row the upper value is explicitly attainable: assign of each label , its remaining label , and all of label . Every bin has mass . The proved lower assertion is only that cannot work.
The easy selection of a pair of edges intersecting in at most , followed by a third edge avoiding their intersection and selected portions of both, did not force the successful region of (5.2). The computations suggested further obstructions; they do not rule out adaptive methods.
5.4 Rectangle formulation of the disjoint-edge branch
For disjoint -edges , an additional edge misses the pairs in
Its side sizes sum to at least . The local condition implies that no five available rectangles cover . If , every rectangle with , , and is contained in some , by choosing an edge avoiding .
It was not proved that these properties are incompatible when . Even such a result would handle only this branch.
6. Failed lower constructions and amplification
6.1 Basic operations
Full vertex cloning multiplies rank but leaves unchanged. Disjoint unions add but generally destroy locality. Taking all unions of one edge from each disjoint factor gives the minimum of the factors' transversal numbers, not their sum.
Substitution by an inner family multiplies rank and transversal number: a set covers the substituted family exactly when the base vertices whose fibers it fully covers form a base transversal. Lifting local witnesses is guaranteed if is -wise intersecting. But then
so growing inner fibers lose roughly a factor in the ratio. No ratio-preserving scaling was obtained.
6.2 An operation with additive transversal number but failed locality
Take three disjoint parity examples with parameter , each on points. Let be all -sets containing a good -edge in at least one block. Then
Each block has independence number . A set of size at least is independent in precisely when each of its block intersections contains no good base edge. Thus on points.
However, it fails . Form seven groups of points, split each equally among the three blocks, and add one isolated point per block. The seven Fano-line complements give seven global -sets , each containing points in every block, with transversal number three.
Choose the prescribed 's of size so that every is good in some block. Let be the binary incidence matrix of the seven Fano complements. Its column space is the dimension-three simplex code. Choose three independent columns; their supports cover all seven row positions. For a chosen column , prescribe the parities of the seven group intersection counts of to be . Since , this produces that column. Six counts are odd and one even. Counts between and , totaling , exist by starting with six ones and increasing by twos; for their maximum available even total exceeds .
Every consequently contains a good base edge in at least one block and belongs to . But any two group points lie on some Fano line, whose complement avoids both; isolated points do not help. Thus the desired additive ratio comes with a false local hypothesis.
6.3 Affine binary codes: a proved sufficient condition
Consider the weight- words of an affine coset , with minimum coset weight , and assume . In a bad seven-tuple all point degrees are at most four. Let
The XOR of all seven words belongs to . Its weight is the number of odd-degree points and is at most : degree three costs deficiency one and degree one costs deficiency three. Therefore
is sufficient for .
The global transversal lower bound was not established. With , the criterion requires . A random parity-check construction using a union bound to exclude small coset vectors asks for redundancy approximately
After deleting points, only
candidate words remain. These estimates do not make the random-coset approach work. They do not prove that structured codes are impossible.
6.4 Conditional stronger Fano calculation and covering loss
Assume additionally that degree-four spectra are the seven Fano complements and all seven types occur. This classification was not extended to arbitrary linear .
XOR the three edge rows indexed by each Fano line. All standard points cancel, and each of the seven XORs belongs to , so has weight at least . An exceptional degree-three spectrum cannot itself be a Fano line, since the complementary standard point would give a two-point cover. A spectrum of size or a nonline contributes respectively occurrences across the seven line XORs. These are at most three times its deficiency. Therefore
Conditionally this would prohibit bad tuples for . The structural assumption is an unresolved requirement, not a proved lemma in this range.
There is also a precise conditional covering obstruction. If has a word of weight , then contains no weight- word of : deleting such a word would leave a coset word of weight . Hence
The possible gain is less than the potential loss . Existence of at that exact weight is not universal or proved here, so this is a barrier, not an impossibility theorem.
6.5 Graph encoding
Let have no odd cycle of length at most seven, and let be its maximal independent sets. Define
Any seven graph vertices induce a bipartite graph; extend its two color classes to maximal independent sets. These cover the corresponding 's, so the set family has . Also
because covering vertices by independent sets is equivalent to coloring. Private padding gives uniformity
No graph sequence with the necessary asymptotic ratio was found. The construction verifies its parameters but supplies no counterexample.
Other sparse, projective-incidence, and random-alteration ideas did not establish the required ratio. No unverified numerical or probabilistic estimate is asserted here as a lower-bound theorem.
7. Criticality and the convergence question
7.1 Critical certificates are finite but not small enough
An edge-minimal family with transversal number has, for every edge , a certificate of size disjoint from and meeting all other edges. The checked Tuza passages imply
for a -uniform critical family with isolated vertices omitted. For , these bounds are exponential. They do not supply a bounded template or asymptotic coefficient. The ISP completion constructions were not shown to preserve .
7.2 Splitting demand does not split rank
If is a minimum transversal and , let
Then : covers it, while a smaller cover together with would contradict minimality of . Its edge ranks need not shrink.
A ground partition in which every -edge has at most points on one side and at most on the other would force an exact split on every edge; complete uniform families already obstruct such partitions. Taking arbitrary traces can also lose local covering points. These ideas did not prove upper subadditivity.
7.3 Sufficient inequalities that remain unproved
For fixed , an estimate
with independent of would prove convergence. For fixed , take and use monotonicity to obtain
Let approach a sequence realizing the limsup. No valid construction establishing this inequality was found.
Similarly, an upper inequality
would allow subadditivity after adding a constant. It was not proved. Fekete's lemma therefore cannot simply be invoked.
Normalized compactness did not repair the issue. Local two-point witnesses can have normalized mass tending to zero; deleting them can destroy the local condition while normalized transversal numbers stay nonzero. No quantitative approximation theorem overcoming this was established.
8. Remaining uncertainties
The substantive gaps are:
- An upper bound for every family, or a verified family with transversal number for fixed positive .
- A proof or disproof of convergence of for every fixed .
- A legitimate scaling or upper-subadditivity operation, rather than one that changes the local hypothesis.
- A local-property-preserving structural reduction using the bounded fractional interval.
- A way around the demonstrated nonadaptive good-triple obstruction, perhaps adaptive avoidance sets.
- For the code approach, both the necessary robust Fano classification and a global transversal lower bound that pays less than the available slack.
The finite additive parity improvement, the complete-family limit, the fractional reduction, solver-reported optima, and conditional coding calculations do not answer either original assertion.