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Boolean reductions


Associate to a finite hypergraph H\mathcal H the monotone Boolean function f(R)=1f(R)=1 exactly when RR contains an edge. Its positive minterms are the inclusion-minimal edges. A set of variables fixed to zero forces f=0f=0 exactly when it is a transversal. These observations give reformulations, not either requested asymptotic conclusion.

Reliability can vanish at the Fano bias

Write μp(f)\mu_p(f) for the probability that an independently sampled Bernoulli-pp vertex set contains an edge. Assign each vertex independently and uniformly one of the seven Fano caps. Each row union has the Bernoulli-4/74/7 distribution. If H\mathcal H has P7P_7, these seven unions cannot all contain edges, since choosing one edge inside each would produce a bad tuple. Consequently

μ4/7(f)≤6/7.\mu_{4/7}(f)\le6/7.

There is no positive lower bound at this bias from near-three-quarter extremality, even with all Shapley values tending to zero.

Indeed, let 4∣k4\mid k, put n=7k/4−1n=7k/4-1 and s=⌈k3/4⌉s=\lceil k^{3/4}\rceil. For every core kk-set A⊆[n]A\subseteq[n], append its own disjoint set PAP_A of ss private vertices. The resulting family has uniformity K=k+sK=k+s and retains P7P_7 from the complete core family. Private padding preserves its transversal number: replace each chosen private point by any core point of its unique edge to obtain a core transversal of no greater size. Thus

τ=3k/4,τ/K⟶3/4.\tau=3k/4,\qquad \tau/K\longrightarrow3/4.

Let MM count retained core vertices at bias 4/74/7, and put a=⌈k2/3⌉a=\lceil k^{2/3}\rceil. Then MM is binomial of mean k−4/7k-4/7, and the elementary binomial tail bound gives

Pr⁡(M>k+a)≤exp⁡(−Ω(k1/3)).\Pr(M>k+a)\le\exp(-\Omega(k^{1/3})).

Otherwise there are at most (k+ak)\binom{k+a}{k} possible core witnesses, each requiring all ss of its private vertices. Hence

μ4/7(f)≤exp⁡(−Ω(k1/3))+(k+ak)(4/7)s=o(1),\mu_{4/7}(f) \le\exp(-\Omega(k^{1/3}))+ \binom{k+a}{k}(4/7)^s=o(1),

since log⁡(k+ak)=O(k2/3log⁡k)=o(s)\log\binom{k+a}{k}=O(k^{2/3}\log k)=o(s).

The Shapley value of a variable is its probability of being the pivotal variable in a uniformly random ordering. These values sum to one. The construction's automorphisms have two vertex orbits, of sizes nn and s(nk)s\binom nk, and Shapley values are constant on each orbit. Their maximum is consequently at most 1/n=o(1)1/n=o(1).

This excludes a positive critical-bias reliability estimate based only on near-extremality and small Shapley values. It does not exclude an estimate assuming a fixed positive excess τ>(3/4+ε)K\tau>(3/4+\varepsilon)K, or a reduction that first removes private padding.

Minors and fixed variables

Identifying vertices preserves P7P_7: the images of a local pair still cover the image edges. But it need not preserve the ratio of transversal number to rank. If all identification fibers have size at most bb, lifting a cover only gives

τ(Himage)≥τ(H)/b,\tau(\mathcal H_{\rm image})\ge\tau(\mathcal H)/b,

while individual edge sizes need not decrease by a factor bb. Thus a theorem producing symmetric threshold minors needs additional quantitative control before it can prove the desired coefficient.

Fixing variables to zero deletes all edges meeting those variables, so it preserves the local property. Fixing variables to one has no such general preservation statement. For any monotone Boolean function f(x)f(x),

g(u,x)=u∧f(x)g(u,x)=u\wedge f(x)

has a one-point transversal and hence P7P_7, while g∣u=1=fg|_{u=1}=f. Therefore allowing arbitrary one-restrictions recovers every monotone Boolean function and discards the local condition entirely.

The class also contains arbitrarily large overlapping double-AND functions. For nonempty disjoint blocks X,Y,ZX,Y,Z, put

a=(⋀Y)∧((⋀X)∨(⋀Z)).a=\Bigl(\bigwedge Y\Bigr)\wedge \left(\Bigl(\bigwedge X\Bigr)\vee\Bigl(\bigwedge Z\Bigr)\right).

All minterms share every variable of YY, so τ(a)=1\tau(a)=1, regardless of the block sizes. Thus a structural theorem requiring exclusion of all sufficiently large such functions cannot apply to the whole P7P_7 class.

Restricting first to self-dual monotone functions does not remove this example from the zero-restriction closure. Let a∗(x)=1−a(xˉ)a^*(x)=1-a(\bar x). The common minterm variable gives a≤a∗a\le a^*, so

h(u,x)={a(x),u=0,a∗(x),u=1h(u,x)=\begin{cases}a(x),&u=0,\\a^*(x),&u=1\end{cases}

is monotone and self-dual. For y∈Yy\in Y, the set {u,y}\{u,y\} is a transversal, hence hh has P7P_7, while setting u=0u=0 recovers aa.

These examples rule out the specified unrestricted uses of Boolean restrictions and forbidden-minor hypotheses. They do not exclude every quantitative Boolean-function approach to the ratio problem. The new Boolean factor reduction gives a controlled exception to the prohibition on one-restrictions: independent factors with three disjoint minterms may be removed. It also normalizes a hypothetical fixed-excess counterexample to be conjunction-prime and low-Shapley at o(k)o(k) transversal cost.

Small-rank guards can push the critical bias to one

The earlier private-padding example establishes vanishing reliability at p=4/7p=4/7; it must not be described as having critical bias tending to one. The following different construction does establish that stronger obstruction.

Let s−1s-1 run through primes. Let A\mathcal A be the complete 4s24s^2-uniform family on 7s2−17s^2-1 points. It has P7P_7 and transversal number 3s23s^2: seven rows have total incidence 28s2>4(7s2−1)28s^2>4(7s^2-1), so some point meets at least five rows, and any remaining two rows intersect.

Let G\mathcal G be the disjoint union of m=3sm=3s projective-plane line families of order s−1s-1. In each plane there are N=s2−s+1N=s^2-s+1 points and lines, each line has ss points, and each point lies on ss lines. Any line covers all lines, while fewer than ss points cover at most (s−1)s=N−1(s-1)s=N-1 lines. Thus

rank⁡(G)=s,τ(G)=ms=3s2,∣E(G)∣=M=3s(s2−s+1).\operatorname{rank}(\mathcal G)=s,\qquad \tau(\mathcal G)=ms=3s^2,\qquad |E(\mathcal G)|=M=3s(s^2-s+1).

These planes exist explicitly as the one- and two-dimensional subspaces of the three-dimensional vector space over the field with s−1s-1 elements.

On disjoint variables take F=A⊗G\mathcal F=\mathcal A\otimes\mathcal G. The product identities in Boolean factor reduction give

K=4s2+s,τ(F)=3s2,P7,τ(F)K⟶34.K=4s^2+s,\qquad \tau(\mathcal F)=3s^2,\qquad P_7, \qquad \frac{\tau(\mathcal F)}K\longrightarrow\frac34.

For every fixed p<1p<1,

μp(fF)≤μp(fG)≤Mps⟶0.\mu_p(f_{\mathcal F})\le\mu_p(f_{\mathcal G})\le Mp^s\longrightarrow0.

Consequently the bias at which the reliability equals one half tends to one. Automorphisms act transitively on the 7s2−17s^2-1 core vertices and also on the mNmN guard vertices. Shapley values are constant within each of these sets and sum to one, so their maximum tends to zero.

This disproves any threshold-location conclusion based only on near-three-quarter extremality and vanishing maximum Shapley value. The displayed product is removed by the factor theorem because G\mathcal G has three disjoint edges. However, Prime guard families now gives the same near-boundary obstruction even under conjunction-primality, by deleting one product edge. It also proves a conditional guard transformation for hypothetical fixed-positive-excess sequences and a safe projection criterion for identifiable sparse partial products. No fixed-positive-excess counterexample is constructed.

Linear-size threshold minors are not automatic either

The same example bounds the size of symmetric threshold minors obtainable using identifications and zero-restrictions. Every such minor still has the form a′∧g′a'\wedge g' (the variable sets may now overlap), where the minterm family of g′g' is contained in a union of at most mm intersecting families with at most MM edges in total.

Here is the counting fact needed. Suppose such a family B\mathcal B on qq points has an edge in every ℓ\ell-set. Fix an integer L≥1L\ge1. From each component having an edge of size at most LL, choose one such edge. Their union SS, of size at most mLmL, meets every edge of those components. Every edge disjoint from SS therefore has size at least L+1L+1.

If q−∣S∣≥ℓq-|S|\ge\ell, a random ℓ\ell-subset of the complement of SS contains an edge with probability at most

M(ℓq−∣S∣)L+1.M\left(\frac{\ell}{q-|S|}\right)^{L+1}.

This probability must be one. If q−∣S∣<ℓq-|S|<\ell, the following conclusion is immediate instead. In both cases,

q−ℓ≤mL+(M1/(L+1)−1)ℓ.(1)q-\ell\le mL+\bigl(M^{1/(L+1)}-1\bigr)\ell. \tag{1}

If the original minor is the symmetric threshold ℓ\ell-of-qq, every ℓ\ell-set wins g′g', so (1) applies. Put L=⌈log⁡M/log⁡(5/4)⌉L=\lceil\log M/\log(5/4)\rceil. If its transversal-to-rank ratio satisfies

q−ℓ+1ℓ>34,\frac{q-\ell+1}{\ell}>\frac34,

then (1) yields

ℓ<2mL+2=O(slog⁡s)=O(Klog⁡K).\ell<2mL+2=O(s\log s)=O(\sqrt K\log K).

Thus even near extremality one cannot demand an Ω(K)\Omega(K)-rank threshold minor by these operations. This does not rule out a size-divergent minor or one extracted under a fixed-positive-excess hypothesis.

Finite promise relations and the exact substitution restriction

For fixed r≥3r\ge3, let Sr\mathscr S_r consist of the downward-closed families S⊆2[r]S\subseteq2^{[r]} in which no two members have union [r][r]. A monotone function has PrP_r exactly when, on any binary matrix whose columns lie in such an SS, its coordinatewise output is not 1r1^r. For if all rows win, choose a minterm inside each row; their spectra remain in SS by downward closure. The converse uses the spectra of a bad tuple itself.

This describes a finite family of promise relations and is preserved by identification of variables. It is not an assertion that the functions are closed under composition.

There is an exact elementary distinction. An idempotent monotone function gg preserves every strong relation S∈SrS\in\mathscr S_r (its output itself belongs to SS) if and only if every at-most-(r−1)(r-1) winning minterms intersect.

For necessity, put r−1r-1 winning rows with empty intersection above a zero final row, repeating rows if necessary, and let SS be the downward closure of the columns. No column contains all the first r−1r-1 positions, whereas the output does. For sufficiency, if fewer than rr rows win, their common input coordinate contains the output support, so downward closure puts the output in SS. If all rr win, one input column covers the first r−1r-1 rows and a second covers the last, contradicting the definition of SS. The zero output is already in SS.

Equivalently, substituting the same inner family into every point of every PrP_r outer family preserves PrP_r exactly when the inner family is (r−1)(r-1)-wise intersecting. For necessity use the outer family of two disjoint singletons, taking the nonintersecting inner tuple on one side and one edge on the other. For sufficiency, if neither outer covering point alone covers the selected rows, assign rows to the two points with both parts nonempty; each part has at most r−1r-1 rows. If one outer point covers all rows, its inner copy alone supplies a two-cover: intersect the first at most r−1r-1 inner edges and separately cover the last edge if necessary.

An inner family of rank aa satisfying this condition has

τ≤⌈ar−2⌉:\tau\le\left\lceil\frac a{r-2}\right\rceil:

partition one edge into r−2r-2 balanced parts and choose avoiding edges if the bound fails. Thus for r≥4r\ge4 this universal substitution mechanism loses a fixed factor asymptotically. It cannot supply the desired ratio-preserving amplifier.

Section 6.1 of second independent record uses the stronger sufficient assumption of rr-wise intersection. That argument is correct, but the exact universal condition above improves its asymptotic loss factor from r−1r-1 to r−2r-2 (from six to five for r=7r=7). Neither condition is asserted necessary for substitution into a particular restricted outer family.

There is also a small explicit failure of composition. Ternary majority has PrP_r for every rr, since its three minterms have a global two-cover. Composing it with three disjoint copies of itself gives the family choosing two of three blocks {0,1,2}\{0,1,2\}, {3,4,5}\{3,4,5\}, {6,7,8}\{6,7,8\} and two points from each chosen block. The following six admitted edges have no two-cover:

{0,2,4,5}, {1,2,3,5}, {0,1,6,7}, {1,2,7,8}, {3,4,6,8}, {3,5,7,8}.\{0,2,4,5\},\ \{1,2,3,5\},\ \{0,1,6,7\},\ \{1,2,7,8\},\ \{3,4,6,8\},\ \{3,5,7,8\}.

Every point has degree at most three. The degree-three spectra are

234,124,256,126,346,456;234,\quad124,\quad256,\quad126,\quad346,\quad456;

none is the complement of another, so two degree-three points do not cover all six rows either. This is a finite certificate against iterated-majority composition as a P7P_7-preserving amplifier; no claim about an optimal witness size is needed.

No finite-template compactness or well-quasi-order argument proving convergence was established. A proposed near-extremal antichain proof was not retained: it incorrectly treated a universal graph vertex as a one-point vertex cover. No claimed obstruction to a stronger critical-family preorder rests on that argument.

Why qualitative promise-template classification is insufficient

The finite promise formulation above does not, by itself, turn the problem into a useful tractability dichotomy. For every rr, its strong relations are already preserved by coordinatewise AND of every positive arity.

Indeed, if x(1),…,x(n)∈Sx^{(1)},\ldots,x^{(n)}\in S and SS is downward closed, their coordinatewise AND lies below x(1)x^{(1)} and hence belongs to SS. Thus AND strongly preserves every S∈SrS\in\mathscr S_r. Such an SS excludes 1r1^r, so this also gives the required weak preservation. AND preserves the Boolean order relation and the unary constants as well, if these are added to impose monotonicity and idempotence.

There is a direct algorithmic check, requiring no classification theorem. Consider constraints using these strong relations, unary constants, and order implications. Propagate all forced ones along the implications. If a forced zero is reached, there is no solution. Otherwise set precisely these forced variables to one and all others to zero. This is the least assignment satisfying the constants and implications. Any strong satisfying assignment dominates it, so downward closure implies that the least assignment satisfies all strong constraints whenever any strong solution exists. Checking it therefore decides the strong constraint problem. Repeated variables in constraints do not affect this argument.

Consequently, qualitative solvability holds for all rr and supplies no rr-dependent transversal-to-rank estimate. The particular AND function on nn variables has one minterm of size nn and transversal number one, so its presence says nothing about the large-transversal functions also in the same class. This rules out an inference from qualitative tractability alone, not every possible quantitative use of the promise relations.

The proposed use of simultaneous criticality does not fix this automatically. Its normalization at transversal number t>1t>1 is not preserved under arbitrary minors: identifying all ground points produces the singleton family of transversal number one. No rank-sensitive threshold-minor theorem, or reliability bound at the Fano bias, was proved for the normalized fixed-positive-excess families. Such a quantitative result remains a missing step, not a consequence of AND preservation or of the qualitative template formulation.

Anchored residual families: a corrected intersection constraint

Let H\mathcal H have P7P_7, fix A∈HA\in\mathcal H, and, for B⊆AB\subseteq A, put

FB={E∈H:E∩A⊆B}.\mathcal F_B=\{E\in\mathcal H:E\cap A\subseteq B\}.

Here three-wise intersection means that every nonempty subfamily of at most three members has nonempty intersection.

Lemma. If B,C⊆AB,C\subseteq A are disjoint, FB\mathcal F_B and FC\mathcal F_C cannot both fail three-wise intersection.

Proof. Otherwise choose at most three rows from each family whose respective intersections are empty. Adjoin AA and apply P7P_7. A two-point transversal must have a point x∈Ax\in A. If x∈Bx\in B, it misses every selected FC\mathcal F_C row; if x∉Bx\notin B, it misses every selected FB\mathcal F_B row. In either case the other point would have to belong to an empty intersection, a contradiction. □\square

Writing t=τ(H)t=\tau(\mathcal H), one also has

τ(FB)≥t−∣A∖B∣.(2)\tau(\mathcal F_B)\ge t-|A\setminus B|. \tag{2}

Indeed, a transversal of FB\mathcal F_B, together with A∖BA\setminus B, covers H\mathcal H. For a partition A=B1∪⋯∪B4A=B_1\cup\cdots\cup B_4, at most one of the four full-edge families FBi\mathcal F_{B_i} can fail three-wise intersection. If ∣A∣=k|A|=k, the parts are balanced, and t>(3/4+ε)kt>(3/4+\varepsilon)k, equation (2) gives

τ(FBi)>εk−1(i∈[4]).\tau(\mathcal F_{B_i})>\varepsilon k-1 \qquad(i\in[4]).

This does not give a contradiction: a three-wise-intersecting rank-kk family can have transversal number as large as order kk, and the elementary bound ⌈k/2⌉\lceil k/2\rceil does not control these positive-excess residual demands sufficiently.

The outside-trace version is false and is withdrawn. The lemma does not assert three-wise intersection of {E∖A:E∈FB}\{E\setminus A:E\in\mathcal F_B\}. For a kk-set AA containing distinct points b,cb,c, with k≥2k\ge2, take three rows {b}∪Pi\{b\}\cup P_i and three rows {c}∪Qi\{c\}\cup Q_i, where the six private (k−1)(k-1)-sets are pairwise disjoint and disjoint from AA. Together with AA, these rows have the global two-cover {b,c}\{b,c\} and hence P7P_7. Nevertheless, for B={b}B=\{b\} and C={c}C=\{c\}, both outside-trace triples have empty intersection. The failed argument overlooked a two-cover using two points of AA, one for each group. Equation (2) remains valid, but no outside-intersection conclusion or rank-sensitive approximate-factor extraction follows from this lemma.