Alphabeta Math
LemmaStatement: AI-adaptedProof: AI-generatedSession-authored (Fable 5 assisted)precheck passaudited 2026-08-26
How statement and proof provenance work

The first chip identifies the source of the statement or construction; the second identifies the source of its local proof or verification.

  • Literature-sourced: the exact statement appears in a cited source; only wording and notation differ.
  • AI-adapted: a semantically identical restatement of literature-sourced material, modulo indexing, notation, and boundary cases adopted by the library.
  • AI-generated: a genuinely novel statement formulated by AI, with no source for the claim itself.

These labels describe origin, not correctness: citations and verification chips remain separate evidence.

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 hmn. Suppose every WV(G) with W=m has a subset SW with S=h and G[S]H. Let g be the number of sets SV(G) with S=h and G[S]H. Then

g  (nh)(mh)  (nh+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 hmn, and the hypothesis that every m-element WV(G) has an h-element subset S with G[S]H.

[F1]

For a finite set A and kN, [A]k is the set of k-element subsets of A, it is finite, and [A]k=(Ak) (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 RX×Y with row fibres Rx and column fibres Ry, one has xXRx=R=yYRy (Double counting: xXRx=R=yYRy for a relation between finite sets, A relation RX×Y between finite sets, its row fibres Rx and its column fibres Ry).

[F2]

For a finite index set S and a constant c, iSc=Sc (The sum iSai 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 BA, and equality holds if and only if B=A).

[F3]

N0=1 and Nk+1=Nk(Nk), so for kN the falling factorial Nk is the product N(N1)(Nk+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
1.1

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 SW, and RR of those with SG. Both index sets are finite.

F1F4L2
1.2

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:SW}, which the map WWS carries bijectively onto [V(G)S]mh, of size (nhmh).

F1L2
1.3

The row fibre of R at W is {SG:SW}, which is nonempty by hypothesis, and the column fibre of R at SG is the same set as for R, of size (nhmh), while the column fibre at SG is empty.

F1givenL2
1.4

By [L3] and [F3], (nh)h!=nh=n(n1)(nh+1) and (mh)h!=mh=m(m1)(mh+1), so (nh)/(mh)=nh/mh.

L3F3algebra
2.1

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

step 1.1step 1.2L1F1F2
2.2

Double counting R gives R=WRWW1=(nm), since every row fibre has at least one element, and also R=g(nhmh) by summing the column fibres of step 1.3 over G.

step 1.1step 1.3L1F1F2algebra
2.3

Each of the h factors of nh is at least nh+11 and each of the h factors of mh is at most m, and all of them are positive because hmn; hence nh(nh+1)h and mhmh, so nh/mh(nh+1)h/mh.

step 1.4F3algebra
3.1

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

step 2.1step 2.2F1algebra
4.1

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

step 3.1step 1.4step 2.3algebra

Depends on

Used by

Dependency tree · two levels

46 results within two dependency steps of this one, each drawn at its shortest distance from it. An arrow runs from a result to what uses it, so the chart reads left to right and ends at this result, which carries a heavier outline. Every node is a link to that result. Click elsewhere on the chart to enlarge it.

Sources