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Source. Published pp. 275–277, Theorem 6.1 (PDF).

Statement. For η,γ>0\eta,\gamma>0 there is ϵ>0\epsilon>0 such that, for ηm≤k≤(1−η)m\eta m\le k\le(1-\eta)m and G1,G2⊆Ω([2m];m)\mathcal G_1,\mathcal G_2\subseteq\Omega([2m];m),

∣G1∣∣G2∣(2mm)2≥e−ϵm⟹ik(G1,G2)≥(2mm)(mk)2e−γm.(1)\frac{|\mathcal G_1||\mathcal G_2|}{\binom{2m}m^2} \ge e^{-\epsilon m} \quad\Longrightarrow\quad i_k(\mathcal G_1,\mathcal G_2) \ge \binom{2m}m\binom mk^2 e^{-\gamma m}. \tag{1}

Proof. All estimates below are uniform in k/m∈[η,1−η]k/m\in[\eta,1-\eta]. We use the proved uniform factorial estimates, so perturbing a bounded number of cell sizes by at most ξm+O(1)\xi m+O(1) changes logarithms of counts by oξ(m)+O(log⁡(m+1))o_\xi(m)+O(\log(m+1)). Choose a small positive α\alpha depending on η,γ\eta,\gamma, then a much smaller σ\sigma, and finally ϵ\epsilon small enough for the uses below. Set a=⌊αm⌋a=\lfloor\alpha m\rfloor, h=⌊σm⌋h=\lfloor\sigma m\rfloor, and s=2k−hs=2k-h. We work first with large mm, so these integers are positive and all indicated cells are feasible.

Each family has density at least e−ϵme^{-\epsilon m}. The incidence graph of ss-sets SS and mm-sets GG with ∣S∩G∣=k|S\cap G|=k has degree (sk)(2m−sm−k)\binom sk\binom{2m-s}{m-k} at SS. By Lemma 4.1, for each ii there is a family Si\mathcal S_i of at least (2ms)e−ϵm/2\binom{2m}s e^{-\epsilon m}/2 such sets SS, each incident with at least

K=12(2k−hk)(2m−2k+hm−k)e−ϵm(2)K=\frac12\binom{2k-h}k\binom{2m-2k+h}{m-k}e^{-\epsilon m} \tag{2}

members of Gi\mathcal G_i. At least half of S1\mathcal S_1 has a member of S2\mathcal S_2 at exchange distance at most hh. Otherwise the bad half and S2\mathcal S_2 avoid intersection s−hs-h; Corollary 1.6 contradicts their density lower bounds when ϵ\epsilon is sufficiently small in terms of η,σ\eta,\sigma. Its buffer is positive: the upper intersection gap is hh, and the lower feasibility gaps are at least a fixed multiple of ηm\eta m. The slice-separation lemma also proves this proximity directly.

For each such S1S_1, pad S1∪S2S_1\cup S_2 to a set AA of size 2k2k. At most (2kh)\binom{2k}h different S1S_1 yield a fixed AA. We obtain a family C\mathcal C with

∣C∣≥(2ms)4(2kh)e−ϵm≥(2m2k)e−oσ(m)−ϵm−O(log⁡(m+1)).(3)|\mathcal C|\ge \frac{\binom{2m}s}{4\binom{2k}h}e^{-\epsilon m} \ge\binom{2m}{2k}e^{-o_\sigma(m)-\epsilon m-O(\log(m+1))}. \tag{3}

For every A∈CA\in\mathcal C, each Gi\mathcal G_i has at least KK members satisfying k≤∣G∩A∣≤k+hk\le|G\cap A|\le k+h.

For such AA, count ordered pairs (G1,G2)(G_1,G_2) with

∣G1∩G2∣=k,∣G1∩G2∩A∣=k−a,k≤∣Gi∩A∣≤k+h;|G_1\cap G_2|=k,\quad |G_1\cap G_2\cap A|=k-a, \quad k\le|G_i\cap A|\le k+h;

call their number yAy_A. For a fixed pair with intersection kk, its four atoms have sizes k,m−k,m−k,kk,m-k,m-k,k. The number of all possible AA for this pair is exactly

T=(kk−a)∑i,j=0h(m−ka+i)(m−ka+j)(kk−a−i−j),(4)T=\binom{k}{k-a} \sum_{i,j=0}^{h} \binom{m-k}{a+i}\binom{m-k}{a+j} \binom{k}{k-a-i-j}, \tag{4}

where an infeasible binomial coefficient is zero. All selected or omitted parts in (4) have size at most a+2ha+2h, so the entropy estimates give T≤eoα(m)+oσ(m)+O(log⁡(m+1))T\le e^{o_\alpha(m)+o_\sigma(m)+O(\log(m+1))}. Consequently ∑A∈CyA≤ik(G1,G2)T\sum_{A\in\mathcal C}y_A\le i_k(\mathcal G_1,\mathcal G_2)T.

Assume the conclusion of (1) fails. Use the exact identity

(2mm)(mk)2=(2m2k)(2kk)(2m−2km−k)(5)\binom{2m}m\binom mk^2 =\binom{2m}{2k}\binom{2k}k\binom{2m-2k}{m-k} \tag{5}

and (3)–(4). First choosing α\alpha so that its entropy loss is less than γm/8\gamma m/8, then σ,ϵ\sigma,\epsilon smaller, and finally mm large, gives some A0∈CA_0\in\mathcal C with

yA0≤(2kk)(2m−2km−k)e−γm/2.(6)y_{A_0}\le \binom{2k}k\binom{2m-2k}{m-k}e^{-\gamma m/2}. \tag{6}

By (2) and the same entropy estimates, K≥22me−oσ(m)−ϵm−O(log⁡(m+1))K\ge2^{2m}e^{-o_\sigma(m)-\epsilon m-O(\log(m+1))}. Thus (6) is less than K/2K/2 when σ,ϵ\sigma,\epsilon are small and mm is large. Delete from each local family all vertices incident with one of these counted pairs. Each side loses at most yA0y_{A_0} vertices, so the remaining families Di\mathcal D_i each have size at least K/2K/2, and no counted pair remains.

Let Di∗\mathcal D_i^* consist of the subsets B⊆A0B\subseteq A_0 whose fiber in Di\mathcal D_i has size at least K/22k+2K/2^{2k+2}. Fibers below that size contribute at most K/4K/4 altogether. Each fiber has at most 22m−2k2^{2m-2k} members. Therefore

∣Di∗∣≥K22m−2k+2,∣{G−A0:G∈Di,G∩A0=B}∣≥K22k+2(B∈Di∗).(7)|\mathcal D_i^*|\ge \frac{K}{2^{2m-2k+2}},\qquad \left|\{G-A_0:G\in\mathcal D_i, G\cap A_0=B\}\right| \ge\frac{K}{2^{2k+2}}\quad(B\in\mathcal D_i^*). \tag{7}

The first families have densities e−oσ(m)−ϵm−O(log⁡m)e^{-o_\sigma(m)-\epsilon m-O(\log m)} in 2A02^{A_0}, and the residual fibers have the same type of density in 2[2m]−A02^{[2m]-A_0}. Choose σ,ϵ\sigma,\epsilon sufficiently small after α\alpha. Theorem 1.4 on A0A_0 gives Bi∈Di∗B_i\in\mathcal D_i^* with ∣B1∩B2∣=k−a|B_1\cap B_2|=k-a; its two interior gaps are positive fixed multiples of αm\alpha m and ηm\eta m. Apply Theorem 1.4 once more to the two residual fibers, obtaining residual intersection aa. The reconstructed pair then has total intersection kk and inner intersection k−ak-a, contradicting its deletion. This proves (1) for all large mm.

For finitely many remaining mm, choose ϵ\epsilon small enough that the input density product forces both families to be full. This is possible because all relevant layers are finite. Then the full count in (1) proves the conclusion. □\square

Source precision. The sum over the selected family of AA's on p. 276 is bounded above by the unrestricted count (4); equality need not hold for that selected family. On p. 277 the displayed lower bound for ∣Di∗∣|\mathcal D_i^*| loses the factor 22k2^{2k}: the fiber-counting argument gives the denominator 22m−2k+22^{2m-2k+2} in (7), not 22m+22^{2m+2}. The corrected bound is essential to the following application of Theorem 1.4. Floors and the order of parameter choices are explicit here.

Dependencies. lemma_4_1, corollary_1_6, theorem_1_4, entropy_estimates, slice_separation.