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Join layer families
This page studies one possible construction, not arbitrary uniform families. Its two asymptotic parameters have exact finite descriptions, and every finite hereditary complex satisfies
More precisely, every join layer satisfies . Thus neither fixed seeds nor growing seeds with can improve the asymptotic coefficient within this construction. This does not settle the unrestricted seven-edge problem.
Write for the condition that every subfamily of at most seven edges has a transversal of size at most two.
The extension in Arbitrary local layers removes heredity. For a finite local family containing the empty set, rank , ground size , and gcd of its positive member sizes, its product layers satisfy . The proof keeps the deletion upper bound and replaces hereditary trimming by bounded residue corrections. The stronger error proved on this page remains specific to hereditary seeds.
The construction
Let be a finite nonempty hereditary family, with and rank
Discard vertices belonging to no face, so that every singleton belongs to . For , put
Take disjoint copies of . Their join consists of the sets whose intersection with every is a face of the corresponding copy of . For , let
Here the notation in each block uses its fixed identification with . The asymptotic formulas below first keep fixed; the final finite bound is uniform in .
The deletion linear program
For , define
Thus is the minimum expected deletion size when the expected remaining rank is at most . It is a continuous, nonincreasing, convex, piecewise-linear function on , with
These assertions also follow by taking the lower boundary of the convex hull of the finitely many points and permitting rank at most .
Proposition. For every and ,
Consequently, whenever and ,
For , the transversal-to-uniformity ratio tends to .
Proof. A deletion set with block restrictions meets all -faces exactly when
Indeed, the largest surviving join face has size equal to this sum; heredity supplies a surviving face of size exactly whenever the sum is at least . The empirical distribution of the in (5) is feasible for (2) with parameter , proving the lower bound.
An optimal extreme point of (2) has at most two positive coefficients. If there are two, order their deletion types so that , and let the coefficient of be . Use blocks of type and the remaining blocks of type . The resulting total rank is at most , since the higher-rank coefficient was rounded down. The total deletion size is at most . The same conclusions hold without rounding when the optimum has one type.
If the remaining rank equals , completely delete the remaining vertices in one block of positive rank. Such a block exists because ; this costs at most and makes the total rank strictly less than . This proves (3). Continuity of proves (4).
A finite spectrum parameter for the local property
A spectrum is a subset of the row set . Call a support admissible if
including the case . We may restrict to nonempty downward-closed supports: taking downward closure preserves (6) and permits every original assignment. Such a support contains the empty spectrum.
For a fixed admissible , consider assignments
whose seven rows
all belong to . Let
and define
There are finitely many admissible supports and assignments. For each support, the inner optimization is a finite rational linear program, obtained by adjoining a variable and the inequalities . Thus is attained and rational.
One always has
For the lower bound, fix an -face and assign every one of its vertices the same Fano-cap spectrum, assigning the empty spectrum elsewhere. Average the resulting seven size vectors over the seven complements of Fano lines. Every row occurs in four caps, so the mean vector is . The downward closure of the seven caps is admissible because any two Fano lines intersect. The upper bound follows from the definition of rank.
Proposition. The following finite implications hold:
In particular, if , the families have for all sufficiently large . If , they fail for all sufficiently large .
Proof of the first implication. Suppose an at-most-seven subfamily has no two-point transversal. Repeat rows to obtain seven rows . For every point of the joined ground set, record its spectrum
The support of these spectra satisfies (6), since otherwise the corresponding one or two points cover every row. Take its downward closure . The spectrum assignment in each block is one of those defining . Averaging the block size vectors gives
contradicting .
Proof of the second implication. Choose a maximizing support and a vector with all coordinates at least . By Caratheodory's theorem, write as a convex combination of at most eight block-assignment size vectors , with coefficients . Use copies of the corresponding assignment, and fill any remaining blocks with the empty assignment. Every row then has size at least
Delete incidences from each row until its size is exactly . Each block restriction remains a face by heredity. Each point spectrum remains in by downward closure, so (6) still excludes every two-point transversal. Removing repeated rows gives a bad subfamily of at most seven distinct edges.
The boundary is not classified by (9). This bounded-width uncertainty has no effect on the limiting transversal density.
For and , the families in (1) eventually have at least seven distinct edges: they contain all -subsets of the union of fixed -faces. Thus the at-most-seven and exactly-seven conventions agree in this regime.
The universal finite-complex inequality
Choose a maximum face of , then a maximum face disjoint from , and then a maximum face disjoint from . Empty faces are allowed. Write
Theorem. For every finite hereditary complex as above,
Consequently,
Proof of the spectrum bound. Use the downward closure of the seven Fano caps. Identify the rows with , taking the Fano lines to be the translates of . Translations preserve and act transitively on the rows.
Partition the rows into a cap of size four, a two-set , and a singleton . Every two-set is contained in a Fano cap: at most five of the seven lines meet the two-set, so some line avoids it. Thus all three spectra belong to . Assign spectrum to every vertex of and the empty spectrum to every other vertex. The faces are disjoint, and every row is exactly one of them, so this is a permitted assignment.
Take its seven translates. Every row receives four times, twice, and once. Their average size vector is , proving .
Proof of the deletion bound. For , put
Finite linear-program duality applied to (2) gives
The deletion types show that
We prove for every .
If , then
Suppose now that . Successive use of the three inequalities in (14) gives
The coefficients used in these substitutions are positive for . With , the identity
therefore yields . Equation (13) now proves .
Finally, and monotonicity give
This proves the theorem.
Only the three deletion types in (14) were used. The same dual argument therefore proves (11) even when the deletion LP is restricted to those types; it is feasible at because .
A uniform finite bound, including growing seeds
Theorem. For every as in (1), if has , then
Proof. Write , where , and use the seven explicit assignments from the proof of (11). Place complete copies of this orbit in blocks and use the empty assignment in the remaining blocks. Every row has size
All spectra belong to the same admissible support . If , trimming each row to size would give a bad subfamily, as in the proof of (9). Hence implies
Put . If , monotonicity and (11) give . If , convexity between and , together with , gives
where the last inequality is (18). In either case, (3) gives
This includes , since then (18) is simply .
It follows directly that every fixed-seed sequence with and has limiting upper transversal-to-uniformity ratio at most , without any assumption that converges. More generally, for a sequence of possibly different seeds and parameters , the hypotheses
imply
This settles the finite-complex inequality and excludes the stated join-layer constructions as asymptotic improvements on . It is not a reduction of arbitrary uniform families to these constructions, and it does not furnish an amplifier preserving . In particular, for the downward closure of an arbitrary -uniform family, regardless of the transversal number of its top layer; the convexified deletion inequality alone does not bound that transversal number by .
Explicit parameters for two subclasses
The following classes are now special cases of (12). Their additional parameter formulas remain useful.
Bipartite graph independence complexes
Let for a finite bipartite graph , including possible isolated vertices, and write . Then
Assign the two bipartition classes disjoint three-element spectra and average over all row permutations. The fixed support consisting of all spectra of size at most three is admissible, and every occupied row is independent, proving (19).
For the independence complex of any finite graph, a maximum matching gives
For integral , retain the endpoints of matching edges. For integral , retain all matching endpoints and unmatched vertices. The retained graph has independence number at most and respectively or vertices. Since , mixing consecutive choices proves (20) throughout .
Disjoint unions of simplices
Suppose the nonempty faces of lie in one of disjoint simplices of sizes , padded with zeros as needed. Then
To leave rank at most an integer , retain at most vertices from each simplex, requiring exactly deletions. This function is convex and linear between consecutive integer ranks, so mixing deletion types gives (21). The three largest simplices are successive maximum disjoint faces, and hence (11) supplies and the three-quarter bound without a separate argument.