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Graphs Built from Set Systems (Kneser-type)

When vertices are the kk-subsets of an nn-set and edges encode a fixed intersection size, the graph is automatically regular, and its degree and edge count fall straight out of binomial counting.

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The construction

Fix an nn-element ground set XX. Build a graph GG whose vertices are the kk-subsets of XX, and join two vertices A,BA,B by an edge whenever their intersection has a fixed prescribed size tt: A∼B  ⟺  ∣A∩B∣=t.A \sim B \iff |A \cap B| = t. There are (nk)\binom{n}{k} vertices. The famous Kneser graph K(n,k)K(n,k) is the special case t=0t=0 (disjoint kk-sets); the konkur question uses k=3, t=1k=3,\ t=1.

Why it is always regular

The count of neighbors of a vertex AA does not depend on which kk-set AA is — by symmetry of XX. To build a neighbor BB of A={a1,…,ak}A=\{a_1,\dots,a_k\} you:

  1. choose the tt elements BB keeps inside AA: (kt)\binom{k}{t} ways;
  2. choose the remaining k−tk-t elements of BB from the n−kn-k elements outside AA: (n−k k−t )\binom{n-k}{\,k-t\,} ways.

So every vertex has the same degree deg⁡(A)=(kt)(n−k k−t ),\deg(A) = \binom{k}{t}\binom{n-k}{\,k-t\,}, and therefore GG is regular — the structural fact that makes these graphs exam-friendly.

Edge count via the handshake lemma

A regular graph on NN vertices of degree dd has 12Nd\tfrac{1}{2}Nd edges: ∣E(G)∣=12(nk)(kt)(n−k k−t ).|E(G)| = \frac{1}{2}\binom{n}{k}\binom{k}{t}\binom{n-k}{\,k-t\,}. The product often collapses with the subset-of-a-subset identity (nk)(kt)=(nt)(n−t k−t )\binom{n}{k}\binom{k}{t}=\binom{n}{t}\binom{n-t}{\,k-t\,}, or by choosing the union first: pick the 2k−t2k-t elements that A∪BA\cup B touches, then split them, giving a clean closed form.

Worked mini-example (k=3, t=1k=3,\ t=1)

Degree: (31)(n−32)=3(n−32)\binom{3}{1}\binom{n-3}{2}=3\binom{n-3}{2}. Edges: ∣E∣=12(n3)⋅3(n−32).|E| = \tfrac{1}{2}\binom{n}{3}\cdot 3\binom{n-3}{2}. Now regroup by the 5 elements that A∪BA\cup B uses (since ∣A∪B∣=3+3−1=5|A\cup B|=3+3-1=5): (n3)(n−32)=(n5)(53)=10(n5)\binom{n}{3}\binom{n-3}{2}=\binom{n}{5}\binom{5}{3}=10\binom{n}{5}, so ∣E∣=32⋅10(n5)=15(n5).|E| = \tfrac{3}{2}\cdot 10\binom{n}{5} = 15\binom{n}{5}. The smallest case n=5, k=3, t=1n=5,\ k=3,\ t=1 is 33-regular on (53)=10\binom{5}{3}=10 vertices with girth 55 — exactly the Petersen graph, the textbook non-Hamiltonian example.

Quantity Formula k=3, t=1k=3,\,t=1
Vertices (nk)\binom{n}{k} (n3)\binom{n}{3}
Degree (kt)(n−kk−t)\binom{k}{t}\binom{n-k}{k-t} 3(n−32)3\binom{n-3}{2}
Edges 12(nk)(kt)(n−kk−t)\tfrac{1}{2}\binom{n}{k}\binom{k}{t}\binom{n-k}{k-t} 15(n5)15\binom{n}{5}

Exam trick: Regularity, degree, and edge count come for free from binomials — but "deeper" properties (Hamiltonicity, diameter, chromatic number) do not scale uniformly. When a choice claims a property holds "for every nn," test the smallest legal nn first; here n=5n=5 gives the Petersen graph, instantly killing any universal Hamiltonicity claim.

فرمول‌های کلیدی

Vertex degree
deg⁡(A)=(kt)(n−k k−t )\deg(A) = \binom{k}{t}\binom{n-k}{\,k-t\,}

Degree in the graph on $k$-subsets with edges when $|A\cap B|=t$; independent of $A$, so the graph is regular.

Edge count
∣E∣=12(nk)(kt)(n−k k−t )|E| = \tfrac{1}{2}\binom{n}{k}\binom{k}{t}\binom{n-k}{\,k-t\,}

Handshake lemma applied to the regular set-system graph.

Subset-of-a-subset identity
(nk)(kt)=(nt)(n−t k−t )\binom{n}{k}\binom{k}{t} = \binom{n}{t}\binom{n-t}{\,k-t\,}

Used to simplify the edge-count product into a clean closed form.

#intersection-graph#kneser-graph#regular-graph#binomial-counting#handshake-lemma#petersen-graph

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