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A new proof of the Erd\H{o}s-Ko-Rado theorem for intersecting families of permutations
Chris Godsil, Karen Meagher
TL;DR
The paper addresses the maximum size and extremal structure of intersecting families of permutations. It gives an alternate proof using the permutation graph and association-scheme properties, together with symmetric-group representations. The proof establishes the bound (n − 1)! and identifies the families attaining it.
Problem
Method
The proof uses the permutation graph, association-scheme properties, and information about symmetric-group representations.
Source: §1 · p. 3Results
A maximum intersecting family has size (n − 1)!, and the families attaining it are the sets S_i,j.
Source: §3 · pp. 5–6Takeaways & Limitations
The authors report that this approach, previously used for sets and other objects, also works for permutations.
Source: §1 · p. 3The proof applies only for n > 6; smaller cases can be verified using GAP.
Source: §1 · p. 3
Abstract
from arXiv · showhide
Let S(n) be the symmetric group on n points. A subset S of S(n) is intersecting if for any pair of permutations \pi, \sigma in S there is a point i in {1,...,n} such that \pi(i)=\sigma(i). Deza and Frankl \cite{MR0439648} proved that if S a subset of S(n) is intersecting then |S| \leq (n-1)!. Further, Cameron and Ku \cite{MR2009400} show that the only sets that meet this bound are the cosets of a stabilizer of a point. In this paper we give a very different proof of this same result.
1 Introduction
The paper extends the Erdős-Ko-Rado problem to permutations and gives an alternate proof of Cameron and Ku’s result. It uses the permutation graph, association-scheme properties, and symmetric-group representations; the proof applies for n > 6.
- The paper gives a substantially different proof of Cameron and Ku’s theorem for intersecting permutations.The classical Erdős-Ko-Rado theorem concerns intersecting k-subsets and identifies the families attaining its bound [7].Source: §1 · pp. 1–2
- For permutations, two permutations are intersecting when they agree at some point, and the natural extremal families are the cosets of a point stabiliser.These families have the form S_i,j = {π ∈ S(n) : π(i) = j}.Source: §1 · p. 2
- Cameron and Ku state that, for n ≥ 2, an intersecting family S of permutations with |S| = (n − 1)! is a coset of a stabiliser of a point.Source: §1 · p. 2
- Cameron and Ku’s proof uses fixing to show that the fixed-point sets of a maximum family form an intersecting set system, whose members share a common point [4].Their argument assumes the family contains the identity permutation.Source: §1 · pp. 2–3
- The alternate proof uses the permutation graph together with association-scheme properties and information about symmetric-group representations.Source: §1 · p. 3
- The authors note that this approach has also been used for sets and other objects, and suggest generalizing it further.Source: §1 · pp. 2–3
- The proof applies only for n > 6; the smaller cases can be verified using GAP.Source: §1 · p. 3
2 The Clique-Coclique Bound
This section proves the clique–coclique bound for unions of graphs in an association scheme and derives a condition for equality. It also gives a corollary restricting the nonzero idempotent projections of maximum cliques and independent sets.
- The section gives a new proof of this bound, which was originally proved by Delsarte.Cameron and Ku also gave an alternate proof for vertex-transitive graphs.Source: §2 · p. 3
- For a clique C and independent set S in a union of association-scheme graphs, the bound is |C||S| ≤ v.Here v is the number of vertices.Source: §2 · pp. 3–4
- When equality holds, x^T E_j x · y^T E_j y = 0 for every j > 0, where x and y are the characteristic vectors of C and S.The E_j are the association scheme’s principal matrix idempotents.Source: §2 · pp. 3–4
- If the clique–coclique bound holds with equality for maximum C and S, then for each j > 0 at most one of E_j x and E_j y is nonzero.Source: §2 · p. 4
3 The Permutation Graph
The paper represents intersecting families as independent sets in the permutation graph and applies the clique–coclique bound. It obtains maximum size (n − 1)! and identifies the point-stabiliser cosets attaining it.
- P(n) has permutations as vertices, with two adjacent exactly when they disagree at every point; it is a normal Cayley graph whose connection set is the derangements.Source: §3 · p. 5
- P(n) is a union of graphs in the conjugacy-class association scheme, so the clique–coclique bound applies.The paper notes that the bound yields the size statement and that this bound was previously shown by Deza and Frankl and Cameron and Ku [4].Source: §3 · pp. 5–6
- The maximum clique in P(n) has size n, attained by the rows of a Latin square of order n.A clique has at most n vertices because the image of any fixed point must differ across its permutations; a Latin square exists for every n.Source: §3 · p. 6
- A maximum independent set in P(n) has size (n − 1)!, and the sets S_i,j attain this bound.Intersecting families are exactly the independent sets in P(n).Source: §3 · pp. 5–6
4 Eigenvalues of P(n)
The section derives eigenvalues of P(n) using character formulas for the symmetric group's conjugacy-class scheme. An equitable partition supplies further eigenvalues, while the ratio bound relates eigenvalues to bounds on independent-set size.
4.1 Lemma. For all positive integers n
- The partition {S_n,n, V(P(n) S_n,n)} is equitable, and its quotient-graph eigenvalues are also eigenvalues of P(n).The partition is the orbit partition under S(1)S(n1).Source: §4.1 · p. 7
- For a d(n)-regular graph, the largest eigenvalue of P(n) is d(n), and the least eigenvalue gives a bound on the maximum independent-set size via the ratio bound.The section notes that Ku conjectured the least eigenvalue of P(n) is −d(n).Source: §4.1 · p. 7
- Eigenvalues of P(n) are obtained by summing conjugacy-class eigenvalues over the classes of derangements.The conjugacy-class eigenvalues are determined using the character table of the symmetric group.Source: §4.1 · pp. 7–8
5 The (n −1)-module
For n > 6, the proof places the centered characteristic vector of every maximum independent set in the [n − 1, 1]-module. It then identifies a basis for that module and uses it to characterize the maximum independent sets.
5 The (n −1)-module
- The proof's final step shows that a maximum independent-set characteristic vector in the span of these basis vectors must be one of the v_i,j.Here v_i,j denotes the characteristic vector of S_i,j.Source: §5 · pp. 8–9
- For n > 6, every maximum independent set S has v_S − (1/n)1 in the [n − 1, 1]-module.The proof uses maximum cliques with nonzero character sums to eliminate the other modules.Source: §5 · p. 9
- For n > 6, a clique built from a decomposition of the complete digraph into directed cycles supplies character sums used to distinguish the [n − 1, 1]-module.For odd n, the proof instead constructs a clique from rows of a Latin square to rule out the conjugate partition [2, 1^(n−2)].Source: §5 · pp. 9–10
- The vectors v_i,j − (1/n)1 for i,j < n form a basis for the [n − 1, 1]-module.The proof establishes their linear independence using a matrix whose entries record whether π(i) = j.Source: §5 · p. 10
6 Proof of Theorem 1.2
The proof represents permutations by fixed-point incidence vectors and uses a rank argument to constrain maximum independent sets. Assuming the identity is in the family, its two cases show the family is one of the sets defined by fixing a point and its image.
Proof of Theorem 1.2
- H records whether each permutation maps i to j, while N, M, and W select derangement rows, off-diagonal columns, and diagonal columns, respectively.Source: §6 · p. 11
- The characteristic vector of any maximum independent set lies in the span of the columns of H together with the all-ones vector.Source: §6 · p. 11
- For all n, M has rank (n −1)(n −2); the proof exhibits a submatrix equal to K_n−1 ⊗ I_n−2.The submatrix is formed using the ordered permutations π_a,b described in the proof.Source: §6 · pp. 11–12
- If y lies in the kernel of N, then Hy lies in W’s column space because M’s full rank forces the corresponding entries of y to vanish.Source: §6 · p. 12
- Assuming the identity is in S, the two cases show any maximum independent set is S_i,i for some i in {1, ..., n}.For i<n the proof obtains S_i,i; the other case gives S_n,n.Source: §6 · pp. 13, 15
- When vS lies in H’s column space, its representation in W has at most one nonzero coefficient, so S is S_i,i for some i<n.Two simultaneous nonzero coefficients would make a coordinate of the characteristic vector equal to 2.Source: §6 · p. 13
- When vS is outside H’s column space, the augmented representation [H|1]y yields the remaining case, S_n,n.Source: §6 · pp. 14–15
7 Further Work
The section frames extensions of Erdős-Ko-Rado to t-intersecting permutations and proposes module-based conjectures for their characteristic vectors. It also identifies potential extensions of the proof method to other combinatorial objects.
Further Work
- Deza and Frankl conjectured that, for sufficiently large n, the maximum size of a t-intersecting permutation family is (n −t)!.Source: §7 · pp. 15–16
- Cameron and Ku note that their method cannot be extended to t-intersecting permutations, motivating the proposed alternative extension.Source: §7 · p. 16
- The authors conjecture that a shifted maximum independent-set vector in P_1(n), corresponding to a 2-intersecting permutation family, lies in modules of depth at most 2.The listed modules are [n], [n −1, 1], [n −2, 2], and [n −2, 1, 1].Source: §7 · p. 16
- For n = 4, 5, 6, the dimensions of the proposed module sum and the span of the specified shifted vectors agree.The vectors are indexed by A = {(i, j), (k, ℓ)}.Source: §7 · p. 16
- The authors propose extending the module conjecture to maximum independent sets in P_t(n), with shifted vectors supported on modules of depth at most t.Source: §7 · p. 16
- The authors suggest applying this method to perfect matchings and uniform partitions as steps toward a more general theory of Erdős-Ko-Rado theorems.Source: §7 · pp. 16–17