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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

γK(B(K))≤34B(K).\gamma_K(B(K))\le\frac34 B(K).

More precisely, every P7P_7 join layer satisfies τ(Hq,k(K))≤3k/4+8∣V(K)∣\tau(\mathcal H_{q,k}(K))\le3k/4+8|V(K)|. Thus neither fixed seeds nor growing seeds with ∣V(K)∣=o(k)|V(K)|=o(k) can improve the asymptotic coefficient 3/43/4 within this construction. This does not settle the unrestricted seven-edge problem.

Write P7P_7 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 aa, ground size NN, and gcd gg of its positive member sizes, its P7P_7 product layers satisfy τ≤3k/4+51Na/g\tau\le3k/4+51Na/g. The proof keeps the deletion upper bound and replaces hereditary trimming by bounded residue corrections. The stronger error 8N8N proved on this page remains specific to hereditary seeds.

The construction

Let K⊆2VK\subseteq 2^V be a finite nonempty hereditary family, with N=∣V∣N=|V| and rank

a=max⁡I∈K∣I∣≥1.a=\max_{I\in K}|I|\ge1.

Discard vertices belonging to no face, so that every singleton belongs to KK. For D⊆VD\subseteq V, put

r(D)=max⁡{∣I∣:I∈K, I∩D=∅}.r(D)=\max\{|I|:I\in K,\ I\cap D=\varnothing\}.

Take qq disjoint copies V1,…,VqV_1,\ldots,V_q of VV. Their join consists of the sets whose intersection with every VjV_j is a face of the corresponding copy of KK. For 1≤k≤aq1\le k\le aq, let

Hq,k(K)={A⊆⨆j=1qVj:∣A∣=k,A∩Vj∈K for every j}.(1)\mathcal H_{q,k}(K) =\left\{A\subseteq\bigsqcup_{j=1}^qV_j: |A|=k,\quad A\cap V_j\in K\text{ for every }j\right\}. \tag{1}

Here the notation in each block uses its fixed identification with VV. The asymptotic formulas below first keep KK fixed; the final finite bound is uniform in K,q,kK,q,k.

The deletion linear program

For 0≤b≤a0\le b\le a, define

γK(b)=min⁡{∑D⊆VλD∣D∣:λD≥0,∑DλD=1,∑DλDr(D)≤b}.(2)\gamma_K(b)= \min\left\{ \sum_{D\subseteq V}\lambda_D|D|: \lambda_D\ge0,\quad \sum_D\lambda_D=1,\quad \sum_D\lambda_Dr(D)\le b \right\}. \tag{2}

Thus γK(b)\gamma_K(b) is the minimum expected deletion size when the expected remaining rank is at most bb. It is a continuous, nonincreasing, convex, piecewise-linear function on [0,a][0,a], with

γK(0)=N,γK(a)=0.\gamma_K(0)=N,\qquad \gamma_K(a)=0.

These assertions also follow by taking the lower boundary of the convex hull of the finitely many points (r(D),∣D∣)(r(D),|D|) and permitting rank at most bb.

Proposition. For every q≥1q\ge1 and 1≤k≤aq1\le k\le aq,

qγK(k/q)≤τ(Hq,k(K))≤qγK(k/q)+2N.(3)q\gamma_K(k/q) \le \tau(\mathcal H_{q,k}(K)) \le q\gamma_K(k/q)+2N. \tag{3}

Consequently, whenever kq/q→b∈[0,a]k_q/q\to b\in[0,a] and 1≤kq≤aq1\le k_q\le aq,

τ(Hq,kq(K))q⟶γK(b).(4)\frac{\tau(\mathcal H_{q,k_q}(K))}{q}\longrightarrow\gamma_K(b). \tag{4}

For b>0b>0, the transversal-to-uniformity ratio tends to γK(b)/b\gamma_K(b)/b.

Proof. A deletion set with block restrictions D1,…,DqD_1,\ldots,D_q meets all kk-faces exactly when

∑j=1qr(Dj)<k.(5)\sum_{j=1}^qr(D_j)<k. \tag{5}

Indeed, the largest surviving join face has size equal to this sum; heredity supplies a surviving face of size exactly kk whenever the sum is at least kk. The empirical distribution of the DjD_j in (5) is feasible for (2) with parameter k/qk/q, 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 r(D0)≤r(D1)r(D_0)\le r(D_1), and let the coefficient of D1D_1 be pp. Use ⌊qp⌋\lfloor qp\rfloor blocks of type D1D_1 and the remaining blocks of type D0D_0. The resulting total rank is at most kk, since the higher-rank coefficient was rounded down. The total deletion size is at most qγK(k/q)+Nq\gamma_K(k/q)+N. The same conclusions hold without rounding when the optimum has one type.

If the remaining rank equals kk, completely delete the remaining vertices in one block of positive rank. Such a block exists because k≥1k\ge1; this costs at most NN and makes the total rank strictly less than kk. This proves (3). Continuity of γK\gamma_K proves (4). □\square

A finite spectrum parameter for the local property

A spectrum is a subset of the row set [7][7]. Call a support C⊆2[7]\mathcal C\subseteq2^{[7]} admissible if

S∪T≠[7](S,T∈C),(6)S\cup T\ne[7]\qquad(S,T\in\mathcal C), \tag{6}

including the case S=TS=T. 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 C\mathcal C, consider assignments

σ:V⟶C\sigma:V\longrightarrow\mathcal C

whose seven rows

Ii(σ)={v∈V:i∈σ(v)}(i∈[7])I_i(\sigma)=\{v\in V:i\in\sigma(v)\}\qquad(i\in[7])

all belong to KK. Let

PC(K)=conv⁡{(∣I1(σ)∣,…,∣I7(σ)∣):σ is such an assignment},P_{\mathcal C}(K) =\operatorname{conv} \left\{\bigl(|I_1(\sigma)|,\ldots,|I_7(\sigma)|\bigr): \sigma\text{ is such an assignment}\right\},

and define

B(K)=max⁡Cmax⁡p∈PC(K)min⁡i∈[7]pi.(7)B(K)=\max_{\mathcal C} \max_{p\in P_{\mathcal C}(K)}\min_{i\in[7]}p_i. \tag{7}

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 tt and the inequalities pi≥tp_i\ge t. Thus B(K)B(K) is attained and rational.

One always has

4a7≤B(K)≤a.(8)\frac{4a}{7}\le B(K)\le a. \tag{8}

For the lower bound, fix an aa-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 (4a/7,…,4a/7)(4a/7,\ldots,4a/7). 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:

k>qB(K)⟹Hq,k(K) has P7,1≤k≤qB(K)−8a⟹Hq,k(K) fails P7.(9)\begin{aligned} k>qB(K)&\quad\Longrightarrow\quad \mathcal H_{q,k}(K)\text{ has }P_7,\\ 1\le k\le qB(K)-8a&\quad\Longrightarrow\quad \mathcal H_{q,k}(K)\text{ fails }P_7. \end{aligned} \tag{9}

In particular, if kq/q→b>B(K)k_q/q\to b>B(K), the families have P7P_7 for all sufficiently large qq. If 0<b<B(K)0<b<B(K), they fail P7P_7 for all sufficiently large qq.

Proof of the first implication. Suppose an at-most-seven subfamily has no two-point transversal. Repeat rows to obtain seven rows A1,…,A7A_1,\ldots,A_7. For every point vv of the joined ground set, record its spectrum

Sv={i:v∈Ai}.S_v=\{i:v\in A_i\}.

The support of these spectra satisfies (6), since otherwise the corresponding one or two points cover every row. Take its downward closure C\mathcal C. The spectrum assignment in each block is one of those defining PC(K)P_{\mathcal C}(K). Averaging the qq block size vectors gives

(k/q,…,k/q)∈PC(K),(k/q,\ldots,k/q)\in P_{\mathcal C}(K),

contradicting k/q>B(K)k/q>B(K).

Proof of the second implication. Choose a maximizing support and a vector pp with all coordinates at least B(K)B(K). By Caratheodory's theorem, write pp as a convex combination of at most eight block-assignment size vectors uju_j, with coefficients λj\lambda_j. Use ⌊qλj⌋\lfloor q\lambda_j\rfloor copies of the corresponding assignment, and fill any remaining blocks with the empty assignment. Every row then has size at least

qpi−∑j(uj)i≥qB(K)−8a≥k.qp_i-\sum_j(u_j)_i\ge qB(K)-8a\ge k.

Delete incidences from each row until its size is exactly kk. Each block restriction remains a face by heredity. Each point spectrum remains in C\mathcal C by downward closure, so (6) still excludes every two-point transversal. Removing repeated rows gives a bad subfamily of at most seven distinct edges. □\square

The boundary k/q=B(K)+OK(1/q)k/q=B(K)+O_K(1/q) is not classified by (9). This bounded-width uncertainty has no effect on the limiting transversal density.

For 0<b<a0<b<a and kq/q→bk_q/q\to b, the families in (1) eventually have at least seven distinct edges: they contain all kqk_q-subsets of the union of qq fixed aa-faces. Thus the at-most-seven and exactly-seven conventions agree in this regime.

The universal finite-complex inequality

Choose a maximum face A1A_1 of KK, then a maximum face A2A_2 disjoint from A1A_1, and then a maximum face A3A_3 disjoint from A1∪A2A_1\cup A_2. Empty faces are allowed. Write

aj=∣Aj∣,a=a1≥a2≥a3≥0,b0=4a1+2a2+a37.(10)a_j=|A_j|,\qquad a=a_1\ge a_2\ge a_3\ge0,\qquad b_0=\frac{4a_1+2a_2+a_3}{7}. \tag{10}

Theorem. For every finite hereditary complex KK as above,

B(K)≥b0,γK(b0)≤34b0.(11)B(K)\ge b_0,\qquad \gamma_K(b_0)\le\frac34b_0. \tag{11}

Consequently,

γK(B(K))≤34B(K).(12)\boxed{\gamma_K(B(K))\le\frac34 B(K).} \tag{12}

Proof of the spectrum bound. Use the downward closure C\mathcal C of the seven Fano caps. Identify the rows with Z/7Z\mathbb Z/7\mathbb Z, taking the Fano lines to be the translates of {0,1,3}\{0,1,3\}. Translations preserve C\mathcal C and act transitively on the rows.

Partition the rows into a cap C1C_1 of size four, a two-set C2C_2, and a singleton C3C_3. 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 C\mathcal C. Assign spectrum CjC_j to every vertex of AjA_j and the empty spectrum to every other vertex. The faces AjA_j are disjoint, and every row is exactly one of them, so this is a permitted assignment.

Take its seven translates. Every row receives A1A_1 four times, A2A_2 twice, and A3A_3 once. Their average size vector is (b0,…,b0)(b_0,\ldots,b_0), proving B(K)≥b0B(K)\ge b_0.

Proof of the deletion bound. For λ≥0\lambda\ge0, put

mλ=min⁡D⊆V(∣D∣+λr(D)).m_\lambda=\min_{D\subseteq V}\bigl(|D|+\lambda r(D)\bigr).

Finite linear-program duality applied to (2) gives

γK(b)=sup⁡λ≥0(mλ−λb).(13)\gamma_K(b)=\sup_{\lambda\ge0}\bigl(m_\lambda-\lambda b\bigr). \tag{13}

The deletion types ∅,A1,A1∪A2\varnothing,A_1,A_1\cup A_2 show that

mλ≤λa1,mλ≤a1+λa2,mλ≤a1+a2+λa3.(14)m_\lambda\le\lambda a_1,\qquad m_\lambda\le a_1+\lambda a_2,\qquad m_\lambda\le a_1+a_2+\lambda a_3. \tag{14}

We prove mλ≤(λ+3/4)b0m_\lambda\le(\lambda+3/4)b_0 for every λ≥0\lambda\ge0.

If 0≤λ≤10\le\lambda\le1, then

mλλ+3/4≤λa1λ+3/4≤4a17≤b0.\frac{m_\lambda}{\lambda+3/4} \le\frac{\lambda a_1}{\lambda+3/4} \le\frac{4a_1}{7}\le b_0.

Suppose now that λ≥1\lambda\ge1. Successive use of the three inequalities in (14) gives

7b0≥(4−1λ)a1+(2−1λ)a2+mλλ≥(4−3λ+1λ2)a1+(3−1λ)mλλ≥(7−4λ+1λ2)mλλ.(15)\begin{aligned} 7b_0 &\ge\left(4-\frac1\lambda\right)a_1 +\left(2-\frac1\lambda\right)a_2 +\frac{m_\lambda}{\lambda}\\ &\ge\left(4-\frac3\lambda+\frac1{\lambda^2}\right)a_1 +\left(3-\frac1\lambda\right)\frac{m_\lambda}{\lambda}\\ &\ge\left(7-\frac4\lambda+\frac1{\lambda^2}\right) \frac{m_\lambda}{\lambda}. \end{aligned} \tag{15}

The coefficients used in these substitutions are positive for λ≥1\lambda\ge1. With x=1/λ∈(0,1]x=1/\lambda\in(0,1], the identity

(1−47x+17x2)(1+34x)−1=x(1−x)(5−3x)28≥0(16)\left(1-\frac47x+\frac17x^2\right) \left(1+\frac34x\right)-1 =\frac{x(1-x)(5-3x)}{28}\ge0 \tag{16}

therefore yields b0≥mλ/(λ+3/4)b_0\ge m_\lambda/(\lambda+3/4). Equation (13) now proves γK(b0)≤3b0/4\gamma_K(b_0)\le3b_0/4.

Finally, B(K)≥b0B(K)\ge b_0 and monotonicity give

γK(B(K))≤γK(b0)≤34b0≤34B(K).\gamma_K(B(K))\le\gamma_K(b_0) \le\frac34b_0\le\frac34B(K).

This proves the theorem. □\square

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 b0b_0 because b0≥a3b_0\ge a_3.

A uniform finite bound, including growing seeds

Theorem. For every K,q,kK,q,k as in (1), if Hq,k(K)\mathcal H_{q,k}(K) has P7P_7, then

τ(Hq,k(K))≤34k+8N.(17)\boxed{\tau(\mathcal H_{q,k}(K))\le\frac34k+8N.} \tag{17}

Proof. Write q=7ℓ+sq=7\ell+s, where 0≤s≤60\le s\le6, and use the seven explicit assignments from the proof of (11). Place ℓ\ell complete copies of this orbit in 7ℓ7\ell blocks and use the empty assignment in the remaining ss blocks. Every row has size

ℓ(4a1+2a2+a3)=(q−s)b0.\ell(4a_1+2a_2+a_3)=(q-s)b_0.

All spectra belong to the same admissible support C\mathcal C. If k≤(q−s)b0k\le(q-s)b_0, trimming each row to size kk would give a bad subfamily, as in the proof of (9). Hence P7P_7 implies

k>(q−s)b0.(18)k>(q-s)b_0. \tag{18}

Put b=k/qb=k/q. If b≥b0b\ge b_0, monotonicity and (11) give qγK(b)≤3k/4q\gamma_K(b)\le3k/4. If b<b0b<b_0, convexity between 00 and b0b_0, together with γK(0)=N\gamma_K(0)=N, gives

qγK(b)≤qN(1−bb0)+qbb0γK(b0)≤qN(1−bb0)+34k<sN+34k,\begin{aligned} q\gamma_K(b) &\le qN\left(1-\frac{b}{b_0}\right) +q\frac{b}{b_0}\gamma_K(b_0)\\ &\le qN\left(1-\frac{b}{b_0}\right)+\frac34k <sN+\frac34k, \end{aligned}

where the last inequality is (18). In either case, (3) gives

τ(Hq,k(K))≤34k+(s+2)N≤34k+8N.\tau(\mathcal H_{q,k}(K))\le\frac34k+(s+2)N \le\frac34k+8N.

This includes q<7q<7, since then (18) is simply k>0k>0. □\square

It follows directly that every fixed-seed sequence with k→∞k\to\infty and P7P_7 has limiting upper transversal-to-uniformity ratio at most 3/43/4, without any assumption that k/qk/q converges. More generally, for a sequence of possibly different seeds KjK_j and parameters qj,kjq_j,k_j, the hypotheses

Hqj,kj(Kj) has P7,kj→∞,∣V(Kj)∣=o(kj)\mathcal H_{q_j,k_j}(K_j)\text{ has }P_7, \qquad k_j\to\infty,\qquad |V(K_j)|=o(k_j)

imply

lim sup⁡j→∞τ(Hqj,kj(Kj))kj≤34.\limsup_{j\to\infty} \frac{\tau(\mathcal H_{q_j,k_j}(K_j))}{k_j}\le\frac34.

This settles the finite-complex inequality and excludes the stated join-layer constructions as asymptotic improvements on 3/43/4. It is not a reduction of arbitrary uniform families to these constructions, and it does not furnish an amplifier preserving P7P_7. In particular, for the downward closure of an arbitrary aa-uniform family, γK(a)=0\gamma_K(a)=0 regardless of the transversal number of its top layer; the convexified deletion inequality alone does not bound that transversal number by 3a/43a/4.

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 K=Ind⁡(G)K=\operatorname{Ind}(G) for a finite bipartite graph GG, including possible isolated vertices, and write μ=ν(G)\mu=\nu(G). Then

B(K)≥3N7.(19)B(K)\ge\frac{3N}{7}. \tag{19}

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

γK(b)≤N−b−min⁡{b,μ},0≤b≤a.(20)\gamma_K(b)\le N-b-\min\{b,\mu\}, \qquad 0\le b\le a. \tag{20}

For integral b≤μb\le\mu, retain the endpoints of bb matching edges. For integral μ≤b≤N−μ\mu\le b\le N-\mu, retain all matching endpoints and b−μb-\mu unmatched vertices. The retained graph has independence number at most bb and respectively 2b2b or b+μb+\mu vertices. Since a≤N−μa\le N-\mu, mixing consecutive choices proves (20) throughout [0,a][0,a].

Disjoint unions of simplices

Suppose the nonempty faces of KK lie in one of disjoint simplices of sizes a1≥a2≥a3≥⋯a_1\ge a_2\ge a_3\ge\cdots, padded with zeros as needed. Then

γK(b)=∑j(aj−b)+.(21)\gamma_K(b)=\sum_j(a_j-b)_+. \tag{21}

To leave rank at most an integer rr, retain at most rr vertices from each simplex, requiring exactly ∑j(aj−r)+\sum_j(a_j-r)_+ 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 B(K)≥(4a1+2a2+a3)/7B(K)\ge(4a_1+2a_2+a_3)/7 and the three-quarter bound without a separate argument.