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Quantitatively divisive finite families are viral

Statement

Every divisive finite family of ordinary finite graphs is viral.

Facts & Assumptions

Given: A divisive finite family F, with constants b,c from Quantitative divisiveness for a finite forbidden family.

[L1]

Every cograph has a clique or stable set of size at least the square root of its order (Every P4-free graph has a clique or stable set of size at least the square root of its order).

[F1]

Replacing one vertex of a cograph by an independent set gives a cograph: an induced four-vertex path meeting a substituted independent set in at most one vertex would project to one in the original graph; if it met that set twice, its two vertices would have identical outside neighbors and could not lie in an induced P4.

Proof

technique · a maximal cograph layout and quantitative thinning
1.1

We first prove the local-blockade assertion. Fix a finite graph Q on N vertices, 0<ϵ<1/2, and D≥1. Put x=ϵ12D. Assume that every induced subgraph F of Q with ∣F∣≥ϵ4DN has an x-sparse blockade in F or in its complement, of length at least some real k∈[2,x−1] and width at least ∣F∣/kD. We claim that some S⊆V(Q) has |S|\ge x^{D+1}N,\qquad \min\{e(Q[S]),e(\overline Q[S])\}\le\epsilon\binom{|S|}{2}.\tag{1} If N≤x−D−1, any singleton works, so assume N>x−D−1. In particular all block-width thresholds used below exceed one when required.

given
1.2

A layout is a cograph J with pairwise disjoint nonempty blocks (Aj:j∈V(J)) of Q; vertices outside all blocks are permitted. A pair is undecided when both ends are in one block. All other pairs are decided. A decided pair is wrong if its ends lie in distinct blocks and their adjacency differs from that of the corresponding pair in J. Choose a layout satisfying |A_j|\ge\epsilon^{6D}N\quad(j\in J),\qquad \sum_{j\in J}|A_j|^{1/D}\ge N^{1/D},\qquad |\mathrm{wrong}|\le x|\mathrm{decided}|,\tag{2} with ∣J∣ maximal. The one-block layout A1=V(Q) qualifies, and finiteness gives a maximum.

F1
2.1

If ∣J∣≥4ϵ−2, [L1] supplies a clique or stable set I⊆V(J) of size at least 2ϵ−1. Complement Q,J together if needed, so I is stable. From each Ai, i∈I, choose the same number r=⌈ϵ6DN⌉ of vertices, and let S be their union. Edges within these equal blocks account for at most ∣I∣−1(∣S∣2). Edges between them are wrong pairs and hence at most x(N2). Since ∣S∣=∣I∣r≥2ϵ6D−1N, their share of (∣S∣2) is at most xϵ2−12D/2=ϵ2/2≤ϵ/2; the within-block share is at most ϵ/2. Also ∣S∣≥ϵ6DN≥xD+1N. This gives (1). We may therefore assume ∣J∣<4ϵ−2.

L1step 1.2algebra
3.1

Let A1 be a largest block. The power-sum condition in (2) and the bound on ∣J∣ imply ∣A1∣≥(ϵ2/4)DN≥ϵ4DN. Apply the hypothesis in step 1.1 to Q[A1], complementing Q,J if needed, to get an x-sparse blockade (B1,…,Bt) of actual integer length t≥k for some real k∈[2,x−1], with ∣Bi∣≥∣A1∣/kD. Suppose t<⌈2/ϵ⌉. Then t<2/ϵ, and k≤t gives ∣Bi∣≥∣A1∣/tD≥(ϵ/2)D∣A1∣≥ϵ2D∣A1∣≥ϵ6DN. Replace vertex 1 of J by t pairwise nonadjacent vertices whose blocks are the Bi. By [F1] the new pattern remains a cograph; also ∑i∣Bi∣1/D≥t(∣A1∣/tD)1/D=∣A1∣1/D. Old decided pairs stay decided. New wrong pairs can occur only between the Bi, and x-sparsity makes at most an x fraction of those new decided pairs wrong. Thus (2) persists while ∣J∣ increases, a contradiction. Hence t≥⌈2/ϵ⌉.

step 1.2step 2.1F1algebra
4.1

Put m=⌈2/ϵ⌉≤t and w=⌈∣A1∣/kD⌉. Independently choose uniformly a w-element subset Ci⊆Bi for each i≤m. For each pair i<j, its expected number of edges is at most xw2, because the blockade is x-sparse. Markov's inequality says that the probability of more than xm2w2/2 edges in that pair is at most 2/m2. There are fewer than m2/2 pairs, so a simultaneous choice exists with every pair below this bound. Let S=⋃i≤mCi. The within-block edge fraction is at most 1/m≤ϵ/2; the cross-block edge fraction is at most xm2≤16ϵ12D−2≤ϵ/2. Thus e(Q[S])≤ϵ(∣S∣2). Finally, ∣S∣≥w≥∣A1∣/kD≥ϵ4DxDN≥xD+1N, where the last inequality follows from 4D+12D2≤12D(D+1). This proves (1), including the case where we complemented Q.

step 3.1algebra
5.1

Now use the divisiveness constants b,c. Enlarge the exponent to d≥max⁡{b,1/c,4} and decrease the parameter bound to 1/d; the defining implication persists because a smaller copy threshold and a smaller required width make it weaker. Put D=d+1 and C=12D(D+1). We claim that C is a weak viral exponent: for 0<ϵ<1/2, every graph G with ind⁡H(G)<(ϵC∣G∣)∣H∣ for all H∈F has S of size at least ϵC∣G∣ satisfying the edge bound in (1). If ∣G∣≤ϵ−C, take a singleton. Otherwise put x=ϵ12D and let F be any induced subgraph of G of size at least ϵ4D∣G∣. Since 12dD+4D<C, xd∣F∣≥ϵ12dD+4D∣G∣>ϵC∣G∣. The copy bounds transfer to F. Moreover ∣F∣>ϵ4D−C≥x−d/2, and x<1/d≤c. Divisiveness gives an x-sparse blockade in F or its complement of width at least ∣F∣/kd≥∣F∣/kD for some k∈[2,x−1]. Thus every such F satisfies the hypothesis of step 1.1 with Q=G and exponent D. Its conclusion has size xD+1∣G∣=ϵC∣G∣, proving the weak claim.

step 1.1step 4.1givenalgebra
6.1

Set E=4C. If G satisfies the viral copy bounds at ϵE, then it satisfies the weak copy bounds at (ϵ/4)C, because ϵ4C≤(ϵ/4)C for ϵ<1/2. Step 5.1, with parameter ϵ/4, gives T with ∣T∣≥(ϵ/4)C∣G∣ and, in G[T] or its complement, at most (ϵ/4)(∣T∣2) edges. The mean degree there is less than ϵ∣T∣/4, so fewer than half the vertices have degree greater than ϵ∣T∣/2. Keep the other vertices as S. Then ∣S∣≥∣T∣/2, and every vertex of S has at most ϵ∣T∣/2≤ϵ∣S∣ neighbors in the chosen graph on S. Also ∣S∣≥(ϵ/4)C∣G∣/2≥ϵ4C∣G∣ because C≥1 and ϵ≤1/2. Thus S is ϵ-restricted and has the required viral size.

step 5.1algebra∎

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