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Incidence moment rounding


This is a proved restricted result, not a resolution of the unrestricted Erdős problem. All hypergraphs are finite families of nonempty sets; rank means maximum edge size. Write PrP_r when every subfamily of at most rr edges has a transversal of size at most two. For a vertex set WW, let

HW={E∈H:E∩W=∅}.\mathcal H_W=\{E\in\mathcal H:E\cap W=\varnothing\}.

Write τ∗\tau^* for fractional transversal number. All logarithms are natural.

Fractional transversal number is the minimum total nonnegative vertex weight giving every edge weight at least one. Its linear-program dual is the maximum total edge weight giving every vertex weighted degree at most one. The VC dimension is the largest size of a set DD for which the traces E∩DE\cap D realize every subset of DD.

If the local hypothesis is instead stated for exactly rr distinct edges, it implies PrP_r whenever the family has at least rr edges. Families with fewer than rr edges have τ≤r−1\tau\le r-1 and should be handled separately; the deletion theorem below uses the at-most-rr formulation.

The deletion theorem

Theorem. Let b≥2b\ge2, and let H\mathcal H have rank at most kk and property P2b+1P_{2b+1}. For every real Z>0Z>0, there is a vertex set XX such that

∣X∣≤⌊(2bb)kZb−1⌋,τ∗(HX)≤Z.(1)\boxed{ |X|\le\left\lfloor\binom{2b}{b}\frac{k}{Z^{b-1}}\right\rfloor, \qquad \tau^*(\mathcal H_X)\le Z.} \tag{1}

Proof. Put B=(2bb)B=\binom{2b}{b} and a=Bk/Zb−1a=Bk/Z^{b-1}. Suppose every residual obtained by deleting at most ⌊a⌋\lfloor a\rfloor vertices has fractional transversal number greater than ZZ.

For any such nonempty residual, normalize an optimal fractional matching to a probability distribution on its edges. Finite linear-program duality shows that the probability pvp_v of any vertex is at most 1/Z1/Z.

We choose 2b2b reference edges successively, maintaining maximum vertex degree at most bb. After jj choices, let dj(v)d_j(v) be the vertex degrees and put

Nh(j)=∑v(dj(v)h)(1≤h≤b),Φj=∑h=1b(2b−jb−h)Zh−1Nh(j).(2)N_h(j)=\sum_v\binom{d_j(v)}h\quad(1\le h\le b), \qquad \Phi_j=\sum_{h=1}^b \binom{2b-j}{b-h}Z^{h-1}N_h(j). \tag{2}

Binomial coefficients with negative lower argument or lower argument greater than upper argument are zero. All coefficients in (2) are nonnegative, and the coefficient of Nb(j)N_b(j) is Zb−1Z^{b-1}.

Let DjD_j be the set of vertices currently of degree bb. Because degrees are at most bb, ∣Dj∣=Nb(j)|D_j|=N_b(j). Inductively we will have Φj≤Bk\Phi_j\le Bk, so ∣Dj∣≤a|D_j|\le a. Sample the next edge from the fractional-matching distribution in HDj\mathcal H_{D_j}. This preserves the degree bound. Writing ΔNh=Nh(j+1)−Nh(j)\Delta N_h=N_h(j+1)-N_h(j), Pascal's identity gives

EΔN1≤k,EΔNh≤Nh−1(j)Z(2≤h≤b).(3)\mathbb E\Delta N_1\le k,\qquad \mathbb E\Delta N_h\le\frac{N_{h-1}(j)}Z\quad(2\le h\le b). \tag{3}

Indeed, adding an edge changes NhN_h by ∑v∈E(dj(v)h−1)\sum_{v\in E}\binom{d_j(v)}{h-1}, and every vertex has selection probability at most 1/Z1/Z.

Put ch(j)=(2b−jb−h)c_h(j)=\binom{2b-j}{b-h}, with cb+1(j)=0c_{b+1}(j)=0. The identity

ch(j)=ch(j+1)+ch+1(j+1)c_h(j)=c_h(j+1)+c_{h+1}(j+1)

and (3) cancel all terms involving the old Nh(j)N_h(j), leaving

EΦj+1≤Φj+k(2b−j−1b−1).(4)\mathbb E\Phi_{j+1}\le\Phi_j+ k\binom{2b-j-1}{b-1}. \tag{4}

Choose a realization satisfying this bound. Since Φ0=0\Phi_0=0 and

∑j=02b−1(2b−j−1b−1)=(2bb)=B,\sum_{j=0}^{2b-1}\binom{2b-j-1}{b-1} =\binom{2b}{b}=B,

every intermediate potential is at most BkBk, justifying each residual sampling step.

After 2b2b choices, Φ2b=Zb−1Nb(2b)\Phi_{2b}=Z^{b-1}N_b(2b), so ∣D2b∣≤⌊a⌋|D_{2b}|\le\lfloor a\rfloor. The hypothesis gives τ∗(HD2b)>Z>0\tau^*(\mathcal H_{D_{2b}})>Z>0, so this residual contains an edge. Choose it as one further edge. The resulting 2b+12b+1 edges all have vertex degrees at most bb; two vertices therefore meet at most 2b2b of them. This contradicts P2b+1P_{2b+1}. Repeated selected edges are harmless: removing repetitions preserves the absence of a two-cover. □\square

No assumption Z≥1Z\ge1 is needed. In particular, for P7P_7, deletion of at most ⌊20k/Z2⌋\lfloor20k/Z^2\rfloor vertices leaves fractional transversal number at most ZZ.

For any integer ℓ≥1\ell\ge1, the same proof applies when every at-most-ℓb+1\ell b+1-edge subfamily has an ℓ\ell-point transversal: replace 2b2b throughout by ℓb\ell b. The deletion budget becomes ⌊(ℓbb)k/Zb−1⌋\lfloor\binom{\ell b}{b}k/Z^{b-1}\rfloor.

A hereditary fractional-to-integral consequence

Suppose additionally that for every vertex set WW,

τ(HW)≤Γτ∗(HW).(5)\tau(\mathcal H_W)\le\Gamma\tau^*(\mathcal H_W). \tag{5}

Only vertex-deletion residuals are required, not arbitrary subfamilies. A set XX from (1), together with a transversal of HX\mathcal H_X, covers H\mathcal H. Thus for every Z>0Z>0,

t:=τ(H)≤BkZb−1+ΓZ.(6)t:=\tau(\mathcal H)\le\frac{Bk}{Z^{b-1}}+\Gamma Z. \tag{6}

The right side is minimized at Zb=(b−1)Bk/ΓZ^b=(b-1)Bk/\Gamma, giving

tb≤bb(b−1)b−1(2bb)kΓb−1.(7)\boxed{ t^b\le \frac{b^b}{(b-1)^{b-1}}\binom{2b}{b} k\Gamma^{b-1}.} \tag{7}

A self-contained VC estimate

If a nonempty hypergraph F\mathcal F has VC dimension at most d≥1d\ge1 and fractional transversal number zz, then

τ(F)≤⌈16dzlog⁡(16z)⌉≤17dzlog⁡(16z).(8)\tau(\mathcal F)\le\left\lceil16dz\log(16z)\right\rceil \le17dz\log(16z). \tag{8}

Here VC dimension is the ordinary dimension of the edge family on its vertex ground set.

For completeness, normalize a fractional transversal to a vertex probability measure ρ\rho, under which every edge has measure at least 1/z1/z. Put L=log⁡(16z)L=\log(16z), m=⌈16dzL⌉m=\lceil16dzL\rceil, and take two independent samples X,YX,Y of size mm, with replacement. If XX misses an edge EE, its number of occurrences in YY is at least m/(2z)m/(2z) with probability at least 1/21/2: its mean is at least m/zm/z, variance is at most its mean, and Chebyshev applies since m/z≥16log⁡16>8m/z\ge16\log16>8.

Equivalently, first generate a pooled labeled sample of 2m2m independent vertices and assign its positions uniformly to two halves. Conditional on this pool, there are at most (2em/d)d(2em/d)^d edge traces, by the elementary Sauer trace bound. Each trace of size at least m/(2z)m/(2z) lies entirely in the second half with probability at most 2−m/(2z)2^{-m/(2z)}. Thus the probability that XX is not a transversal is at most

2(2em/d)d2−m/(2z)<1.2(2em/d)^d2^{-m/(2z)}<1.

To check the constants, m≤17dzLm\le17dzL and

log⁡(2em/d)≤log⁡(34ezL)=L+log⁡L+log⁡(34e/16)≤3L.\log(2em/d)\le\log(34ezL) =L+\log L+\log(34e/16)\le3L.

The probability is therefore at most 2exp⁡(−(8log⁡2−3)dL)<12\exp(-(8\log2-3)dL)<1. The Sauer bound itself follows from the induction s(n,d)≤s(n−1,d)+s(n−1,d−1)s(n,d)\le s(n-1,d)+s(n-1,d-1); sample repetitions cannot increase VC dimension. This proves (8).

Suppose now that H\mathcal H has P2b+1P_{2b+1}, rank at most kk, and VC dimension 1≤d≤k1\le d\le k. A maximal matching has at most two edges, so t≤2kt\le2k. Every residual has VC dimension at most dd and transversal number at most tt. Consequently (5) holds with

Γ=17dlog⁡(32k/d).(9)\Gamma=17d\log(32k/d). \tag{9}

Indeed, for a nonempty residual of fractional transversal number z≤2k/dz\le2k/d, apply (8). If z>2k/dz>2k/d, its transversal number is at most t≤2k<dz≤Γzt\le2k<dz\le\Gamma z. Empty residuals cause no issue.

Combining (7) and (9) gives

τ(H)b≤bb(b−1)b−1(2bb)17b−1kdb−1log⁡b−1(32k/d).(10)\boxed{ \tau(\mathcal H)^b\le \frac{b^b}{(b-1)^{b-1}}\binom{2b}{b}17^{b-1} kd^{b-1}\log^{b-1}(32k/d).} \tag{10}

In particular, for P7P_7, take b=3b=3:

τ(H)3≤39015 kd2log⁡2(32k/d).(11)\boxed{\tau(\mathcal H)^3\le39015\,kd^2\log^2(32k/d).} \tag{11}

Every fixed b≥2b\ge2 therefore gives τ=o(k)\tau=o(k) when d=o(k)d=o(k). A nonempty family of VC dimension zero has only one distinct edge and transversal number one.

Robust VC consequence for P7P_7. Suppose τ(H)≥αk\tau(\mathcal H)\ge\alpha k, and fix 0<δ≤α0<\delta\le\alpha. After deleting any vertex set WW of size at most (α−δ)k(\alpha-\delta)k, the residual has transversal number at least δk\delta k. If its VC dimension is dWd_W, then, for k>1/δk>1/\delta, it is positive and satisfies

δ3≤39015(dWk)2log⁡2(32kdW).\delta^3\le39015\left(\frac{d_W}{k}\right)^2 \log^2\left(\frac{32k}{d_W}\right).

Since xlog⁡(32/x)→0x\log(32/x)\to0 as x↓0x\downarrow0, this forces dW≥cδkd_W\ge c_\delta k for some cδ>0c_\delta>0, uniformly over all such deletions. Thus a putative linear-transversal counterexample retains linear VC dimension under every deletion that leaves a fixed positive linear transversal number.

Checks on scope and sharpness

The local threshold five for the conclusion d=o(k)⇒τ=o(k)d=o(k)\Rightarrow\tau=o(k) cannot be lowered to four: projective-plane lines have P4P_4, VC dimension two, and τ=k=q+1\tau=k=q+1.

For fixed bb, the power k1/bk^{1/b} in (10) is sharp up to logarithmic factors when VC dimension is bounded. Take the hyperplanes of PG(b+1,q)\mathrm{PG}(b+1,q), where qq is a prime power. Their rank is kq=(qb+1−1)/(q−1)=Θ(qb)k_q=(q^{b+1}-1)/(q-1)=\Theta(q^b), their transversal number is q+1q+1, and their VC dimension is b+1b+1. Any b+1b+1 hyperplanes intersect, so the family even has P2b+2P_{2b+2}. A projective line is a transversal. There are Nq=(qb+2−1)/(q−1)N_q=(q^{b+2}-1)/(q-1) hyperplanes and each point is on kqk_q of them; since qkq=Nq−1qk_q=N_q-1, at most qq points cannot meet all hyperplanes. For VC dimension, a shattered collection must be linearly independent and lie in a hyperplane, so has size at most b+1b+1; the coordinate points of one hyperplane attain this bound.

A caution about VC-sensitive set-pair compression

The VC reduction suggested replacing the usual exponential critical set-pair bound by a polynomial depending on VC dimension. Formal cross-intersection certificates alone do not justify this. In a full binary tree of depth h≥2h\ge2, let AxA_x be the hh nonroot vertices on the path to leaf xx, and let BxB_x contain the sibling of each vertex on that path. Then

∣Ax∣=∣Bx∣=h,Ax∩Bx=∅,Ax∩By≠∅(x≠y).|A_x|=|B_x|=h,\quad A_x\cap B_x=\varnothing,\quad A_x\cap B_y\ne\varnothing\quad(x\ne y).

The cross-intersection occurs at the first divergence of the paths. There are 2h2^h pairs, but the family of the AxA_x has VC dimension one: comparable vertices cannot realize the descendant-only trace, while incomparable vertices cannot occur together. Thus even a fixed-degree polynomial bound in ∣Ax∣+∣Bx∣|A_x|+|B_x| fails at VC dimension one for general set-pair systems.

The actual transversal number of the path family is two, witnessed by the two children of the root, and it is not transversal-critical. This does not refute a stronger bound assuming genuine transversal-criticality and certificate size τ−1\tau-1. No such stronger bound was proved here.

The transversal inequalities also extend to infinite families by the finite-witness compactness argument, since every finite subfamily has no larger VC dimension. The deletion theorem itself was proved above only for finite families.

No bound here controls the remaining regime d=Θ(k)d=\Theta(k), which includes the complete-family examples at the conjectured three-quarter scale. Neither unrestricted assertion of the original problem follows.

An unconditional stronger deletion target is false

One proposed strengthening was that deleting o(k)o(k) vertices from any P7P_7 family should leave fractional transversal number at most 7/4+o(1)7/4+o(1). This assertion, without a high-transversal hypothesis, is false.

For sufficiently large kk, let n=⌊6k/5⌋−1n=\lfloor6k/5\rfloor-1, take two disjoint nn-point blocks, and let H\mathcal H consist of all kk-sets in either block. Every at-most-six edges in one block have a common point, since 6k−5n>06k-5n>0. A selection of at most seven edges meeting both components therefore has a one-point cover in each component. A selection lying in one component is covered by one point for its first at-most-six rows and one for the remaining row. Thus H\mathcal H has P7P_7.

For a complete kk-uniform family on N≥kN\ge k points, the fractional transversal number is N/kN/k. Uniform weights 1/k1/k give the upper bound; summing all edge constraints gives the lower bound. Consequently

τ(H)=2(n−k+1)=(2/5+o(1))k,τ∗(H)=2n/k=12/5+o(1).\tau(\mathcal H)=2(n-k+1)=(2/5+o(1))k,\qquad \tau^*(\mathcal H)=2n/k=12/5+o(1).

After deleting any o(k)o(k) vertices, both residual components are still complete kk-uniform families on n−o(k)n-o(k) points. Their fractional transversal numbers still sum to 12/5+o(1)12/5+o(1), rather than 7/4+o(1)7/4+o(1).

This rules out only the unconditional deletion target. It does not rule out a theorem assuming τ>(3/4+ε)k\tau>(3/4+\varepsilon)k, nor an estimate balancing the deletion cost against the residual fractional transversal number. No such estimate sufficient for Problem 644 was proved.