Johnson graph

In mathematics, Johnson graphs are a special class of undirected graphs defined from systems of sets. The vertices of the Johnson graph J(n,k) are the k -element subsets of an n -element set; two vertices are adjacent when the intersection of the two vertices (subsets) contains (k-1) -elements. Both Johnson graphs and the closely related Johnson scheme are named after Selmer M. Johnson.

In mathematics, Johnson graphs are a special class of undirected graphs defined from systems of sets. The vertices of the Johnson graph J(n,k) are the k -element subsets of an n -element set; two vertices are adjacent when the intersection of the two vertices (subsets) contains (k-1) -elements. Both Johnson graphs and the closely related Johnson scheme are named after Selmer M. Johnson. ==Special cases== Both J(n,1) and J(n,n-1) are the complete graph . J(4,2) is the octahedral graph. J(5,2) is the complement of the Petersen graph, hence the line graph of . More generally, for all n , the Johnson graph J(n,2) is the line graph of and the complement of the Kneser graph K(n,2). ==Graph-theoretic properties== J(n,k) is isomorphic to J(n,n-k). For all 0 \leq j \leq \operatorname{diam}(J(n,k)) , any pair of vertices at distance j share k-j elements in common. J(n,k) is Hamilton-connected, meaning that every pair of vertices forms the endpoints of a Hamiltonian path in the graph. In particular this means that it has a Hamiltonian cycle. It is also known that the Johnson graph J(n,k) is k(n-k) -vertex-connected. J(n,k) forms the vertex-edge graph of an (n − 1)-dimensional polytope, called a hypersimplex. Any maximal clique is either of the form \{ S \cup \{x \} \mid x \in \{1, \dots, n\} \setminus S \} for a (k - 1) -element subset S and k , or of the form \{S \setminus \{x\} \mid x \in S\} for a (k + 1) -element set S for k > 1 , or of the form \{\{1\}, \{2\}\} in the edge case (n, k) = (2, 1) . The clique number of J(n,k) is given by an expression in terms of its least and greatest eigenvalues: \omega(J(n,k)) = 1 - \lambda_{\max}/\lambda_{\min} , or, by the above explicit description of maximal cliques, \omega(J(n,k)) = \max\{k + 1, n - k + 1\}. The clique cover number of J(n, k) satisfies \theta(J(n, 1)) = 1 for n > 1 , \theta(J(n, 2)) = n - 2 for n > 2 and \theta(J(n, 3)) = \lfloor (n-1)^2/4 \rfloor for n > 5 but is not known in general. The chromatic number of J(n,k) is at most n, \chi(J(n,k)) \leq n. Each Johnson graph is locally grid, meaning that the induced subgraph of the neighbors of any vertex is a rook's graph. More precisely, in the Johnson graph J(n,k) , each neighborhood is a k\times (n-k) rook's graph. There is a distance-transitive subgroup of \operatorname{Aut}(J(n,k)) isomorphic to \operatorname{Sym}(n) . In fact, \operatorname{Aut}(J(n,k)) \cong \operatorname{Sym}(n) , except that when n = 2k \geq 4 , \operatorname{Aut}(J(n,k)) \cong \operatorname{Sym}(n) \times C_2 . b_{j} &= (k - j)(n - k - j) && 0 \leq j It turns out that unless J(n,k) is J(8,2) , its intersection array is not shared with any other distinct distance-regular graph; the intersection array of J(8,2) is shared with three other distance-regular graphs that are not Johnson graphs. \phi(x) := \prod_{j=0}^{\operatorname{diam}(J(n,k))} \left (x-A_{n,k}(j)\right )^{\binom{n}{j} - \binom{n}{j-1}}. where A_{n,k}(j) = (k-j)(n-k-j)-j. The eigenvectors of J(n,k) have an explicit description. ==Johnson scheme== The Johnson graph J(n,k) is closely related to the Johnson scheme, an association scheme in which each pair of -element sets is associated with a number, half the size of the symmetric difference of the two sets. The Johnson graph has an edge for every pair of sets at distance one in the association scheme, and the distances in the association scheme are exactly the shortest path distances in the Johnson graph. The Johnson scheme is also related to another family of distance-transitive graphs, the odd graphs, whose vertices are k -element subsets of an (2k+1) -element set and whose edges correspond to disjoint pairs of subsets. ==See also== Grassmann graph ==References== ==External links==

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