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LemmaStatement: AI-adaptedProof: AI-generatedprecheck passaudited 2026-08-26
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If every m-element vertex set contains an induced copy of H, then at least (nh)/(mh) of the h-element vertex sets induce a copy of H

Statement

Let H be a finite simple graph with h=∣V(H)∣≥1, let G be a finite simple graph with n=∣V(G)∣, and let m be a natural number with h≤m≤n. Suppose every W⊆V(G) with ∣W∣=m has a subset S⊆W with ∣S∣=h and G[S]≅H. Let g be the number of sets S⊆V(G) with ∣S∣=h and G[S]≅H. Then

g ≥ (nh)(mh) ≥ (n−h+1)hmh.

Facts & Assumptions

Given: Finite simple graphs H and G with h=∣V(H)∣≥1 and n=∣V(G)∣, a natural number m with h≤m≤n, and the hypothesis that every m-element W⊆V(G) has an h-element subset S with G[S]≅H.

[F1]

For a finite set A and k∈N, [A]k is the set of k-element subsets of A, it is finite, and ∣[A]k∣=(∣A∣k) (The set [A]k of k-element subsets and the binomial coefficient (nk):=∣[n]k∣, The cardinality ∣A∣ of a finite set).

[L1]

For finite sets X,Y and a relation R⊆X×Y with row fibres Rx and column fibres Ry, one has ∑x∈X∣Rx∣=∣R∣=∑y∈Y∣Ry∣ (Double counting: ∑x∈X∣Rx∣=∣R∣=∑y∈Y∣Ry∣ for a relation between finite sets, A relation R⊆X×Y between finite sets, its row fibres Rx and its column fibres Ry).

[F2]

For a finite index set S and a constant c, ∑i∈Sc=∣S∣⋅c (The sum ∑i∈Sai over a finite index set, and its product form).

[L2]

Every subset of a finite set is finite, and its cardinality is at most that of the set (A subset of a finite set is finite, with ∣B∣≤∣A∣, and equality holds if and only if B=A).

[F3]

N0‾=1 and Nk+1‾=Nk‾⋅(N−k), so for k≤N the falling factorial Nk‾ is the product N(N−1)⋯(N−k+1) of the k topmost factors (The factorial n! and the falling factorial nk‾, defined by recursion in N).

[F4]

An induced copy of H in G is the image G[φ(V(H))] of an induced embedding, and G[S]=(S, E(G)∩[S]2) (Induced embeddings and induced copies of a graph, Subgraphs, induced subgraphs and spanning subgraphs).

Proof

technique · direct
1.1F1F4L2

Write G={S∈[V(G)]h:G[S]≅H}, so g=∣G∣, and let R⊆[V(G)]m×[V(G)]h consist of the pairs (W,S) with S⊆W, and R′⊆R of those with S∈G. Both index sets are finite.

1.2F1L2

The row fibre of R at W is [W]h, of size (mh), and the column fibre of R at S is {W∈[V(G)]m:S⊆W}, which the map W↦W∖S carries bijectively onto [V(G)∖S]m−h, of size (n−hm−h).

1.3F1givenL2

The row fibre of R′ at W is {S∈G:S⊆W}, which is nonempty by hypothesis, and the column fibre of R′ at S∈G is the same set as for R, of size (n−hm−h), while the column fibre at S∉G is empty.

1.4L3F3algebra

By [L3] and [F3], (nh)h!=nh‾=n(n−1)⋯(n−h+1) and (mh)h!=mh‾=m(m−1)⋯(m−h+1), so (nh)/(mh)=nh‾/mh‾.

2.1step 1.1step 1.2L1F1F2

Double counting R with the two fibre sizes of step 1.2 and the constant-summand rule gives (nm)(mh)=∣R∣=(nh)(n−hm−h).

2.2step 1.1step 1.3L1F1F2algebra

Double counting R′ gives ∣R′∣=∑W∣RW′∣≥∑W1=(nm), since every row fibre has at least one element, and also ∣R′∣=g(n−hm−h) by summing the column fibres of step 1.3 over G.

2.3step 1.4F3algebra

Each of the h factors of nh‾ is at least n−h+1≥1 and each of the h factors of mh‾ is at most m, and all of them are positive because h≤m≤n; hence nh‾≥(n−h+1)h and mh‾≤mh, so nh‾/mh‾≥(n−h+1)h/mh.

3.1step 2.1step 2.2F1algebra

Since m−h≤n−h and h≤m, the sets [n−h]m−h and [m]h are nonempty, so (n−hm−h)≥1 and (mh)≥1; dividing the inequality of step 2.2 by (n−hm−h) and substituting step 2.1 gives g≥(nm)/(n−hm−h)=(nh)/(mh).

4.1step 3.1step 1.4step 2.3algebra∎

Combining steps 3.1, 1.4 and 2.3 gives g≥(nh)/(mh)≥(n−h+1)h/mh.

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