Clique graphs of time graphs

A simple, finite graph G is called a time graph (equivalently, an indifference graph) if there is an injective real function f on the vertices v(G) such that v_iv_j ∈ e(G) for v_i ≠ v_j if and only if |f(v_i) ? f(v_j)| ≤ 1. A clique of a graph G is a maximal complete subgraph of G. The clique graph K(G) of a graph G is the intersection graph of the cliques of G. It will be shown that the clique graph of a time graph is a time graph, and that every time graph is the clique graph of some time graph. Denote the clique graph of a clique graph of G by K²(G), and inductively, denote K(K^m?1(G)) by K^m(G). Define the index indx(G) of a connected time graph G as the smallest integer n such that Kⁿ(G) is the trivial graph. It will be shown that the index of a time graph is equal to its diameter. Finally, bounds on the diameter of a time graph will be derived.     

Clique coloring of binomial random graphs

A clique coloring of a graph is a coloring of the vertices so that no maximal clique is monochromatic (ignoring isolated vertices). The smallest number of colors in such a coloring is the clique chromatic number. In this paper, we study the asymptotic behavior of the clique chromatic number of the random graph ??(n,p) for a wide range of edge‐probabilities p = p(n). We see that the typical clique chromatic number, as a function of the average degree, forms an intriguing step function.     

Clique coloring of dense random graphs

The clique chromatic number of a graph is the minimum number of colors in a vertex coloring so that no maximal (with respect to containment) clique is monochromatic. We prove that the clique chromatic number of the binomial random graph is, with high probability, . This settles a problem of McDiarmid, Mitsche, and Prałat who proved that it is with high probability.     

Antipodal covering graphs

A graph $\text{Γ}$ of valency k with a group G of automorphisms may be studied via the action of G on the vertex set $\text{V}\text{Γ}$. If G acts transitively on $\text{V}\text{Γ}$, then the notions of primitivity and imprimitivity are meaningful. We consider a natural notion of “block system” for a general graph $\text{Γ}$, which allows us to derive a “quotient” graph Γ whose vertices correspond to the blocks. The ideas are applied to antipodal systems in antipodal graphs: in particular we prove that for an antipodal distance-regular graph, the block size r cannot exceed the valency k; we further show that an antipodal distance-regular graph with r = k is (i) a circuit graph, (ii) a complete bipartite graph, or (iii) a threefold covering of Tutte's trivalent eight-cage.     

Clique or hole in claw-free graphs

Given a claw-free graph and two non-adjacent vertices x and y without common neighbours we prove that there exists a hole through x and y unless the graph contains the obvious obstruction, namely a clique separating x and y. We derive two applications: We give a necessary and sufficient condition for the existence of an induced x-z path through y, where x,y,z are prescribed vertices in a claw-free graph; and we prove an induced version of Menger?s theorem between four terminal vertices. Finally, we improve the running time for detecting a hole through x and y and for the Three-in-a-Tree problem, if the input graph is claw-free.     

Random graphs and covering graphs of posets

For a graph G, we define c(G) to be the minimal number of edges we must delete in order to make G into a covering graph of some poset. We prove that, if p=n ^-1+(n) ,where (n) is bounded away from 0, then there is a constant k ₀>0 such that, for a.e. G _p , c(G _p )k ₀ n ¹⁺⁽ⁿ⁾ .In other words, to make G _p into a covering graph, we must almost surely delete a positive constant proportion of the edges. On the other hand, if p=n ^-1+(n) , where (n)0, thenc(G _p )=o(n ¹⁺⁽ⁿ⁾ ), almost surely.Partially supported by MCS Grant 8104854.     

Clique coverings and partitions of line graphs

A clique in a graph G is a complete subgraph of G. A clique covering (partition) of G is a collection C of cliques such that each edge of G occurs in at least (exactly) one clique in C. The clique covering (partition) numbercc(G) (cp(G)) of G is the minimum size of a clique covering (partition) of G. This paper gives alternative proofs, using a unified approach, for the results on the clique covering (partition) numbers of line graphs obtained by McGuinness and Rees [On the number of distinct minimal clique partitions and clique covers of a line graph, Discrete Math. 83 (1990) 49-62]. We also employ the proof techniques to give an alternative proof for the De Brujin-Erd?s Theorem.     

Clique number of Xor products of Kneser graphs

In this article we investigate a problem in graph theory, which has an equivalent reformulation in extremal set theory similar to the problems researched in “A general 2-part Erd?s-Ko-Rado theorem” by Gyula O.H. Katona, who proposed our problem as well. In the graph theoretic form we examine the clique number of the Xor product of two isomorphic $KG(N,k)$ Kneser graphs. Denote this number with $f(k,N)$. We give lower and upper bounds on $f(k,N)$, and we solve the problem up to a constant deviation depending only on k, and find the exact value for $f(2,N)$ if N is large enough. Also we compute that $f(k,k^2)$ is asymptotically equivalent to $k^2$.     

A remark on covering graphs

Every graph G may be transformed into a covering graph either by deletion of edges or by subdivision. Let _E (G) and _V (G) denote corresponding minimal numbers. We prove _E (G) = _V (G) for every graph G.     

Packing and covering dense graphs

Let d be a positive integer. A graph G is called d-divisible if d divides the degree of each vertex of G. G is called nowhere d-divisible if no degree of a vertex of G is divisible by d. For a graph H, gcd(H) denotes the greatest common divisor of the degrees of the vertices of H. The H-packing number of G is the maximum number of pairwise edge disjoint copies of H in G. The H-covering number of G is the minimum number of copies of H in G whose union covers all edges of G. Our main result is the following: For every fixed graph H with gcd(H) = d, there exist positive constants ϵ(H) and N(H) such that if G is a graph with at least N(H) vertices and has minimum degree at least (1 − ϵ(H))|G|, then the H-packing number of G and the H-covering number of G can be computed in polynomial time. Furthermore, if G is either d-divisible or nowhere d-divisible, then there is a closed formula for the H-packing number of G, and the H-covering number of G. Further extensions and solutions to related problems are also given. © 1998 John Wiley & Sons, Inc. J Combin Designs 6: 451–472, 1998     

Clique minors in double‐critical graphs

A connected t‐chromatic graph G is double‐critical if is ‐colorable for each edge . A long‐standing conjecture of Erdős and Lovász that the complete graphs are the only double‐critical t‐chromatic graphs remains open for all . Given the difficulty in settling Erdős and Lovász's conjecture and motivated by the well‐known Hadwiger's conjecture, Kawarabayashi, Pedersen, and Toft proposed a weaker conjecture that every double‐critical t‐chromatic graph contains a minor and verified their conjecture for . Albar and Gonçalves recently proved that every double‐critical 8‐chromatic graph contains a K₈ minor, and their proof is computer assisted. In this article, we prove that every double‐critical t‐chromatic graph contains a minor for all . Our proof for is shorter and computer free.     

Cycle covering in bridgeless graphs

We prove that any bridgeless graph G = (V, E), |E| = m, |V| = N, admits a cycle cover of total length at most $\text{m +}\text{5}\text{4}\text{(n ? 1)}$. We give a quick survey of the related problems and establish some properties for the vertex covering problem and for shortest coverings of cographic matroids.     

Mixed covering arrays on graphs

Covering arrays have applications in software, network and circuit testing. In this article, we consider a generalization of covering arrays that allows mixed alphabet sizes as well as a graph structure that specifies the pairwise interactions that need to be tested. Let k and n be positive integers, and let G be a graph with k vertices v₁,v₂,…, v_k with respective vertex weights g₁ ≤ g₂ ≤ … ≤ g_k. A mixed covering array on G, denoted by , is an n × k array such that column i corresponds to v_i, cells in column i are filled with elements from ?_gi and every pair of columns i,j corresponding to an edge v_i,v_j in G has every possible pair from ?_gi × ?_gj appearing in some row. The number of rows in such array is called its size. Given a weighted graph G, a mixed covering array on G with minimum size is called optimal. In this article, we give upper and lower bounds on the size of mixed covering arrays on graphs based on graph homomorphisms. We provide constructions for covering arrays on graphs based on basic graph operations. In particular, we construct optimal mixed covering arrays on trees, cycles and bipartite graphs; the constructed optimal objects have the additional property of being nearly point balanced. © 2007 Wiley Periodicals, Inc. J Combin Designs 15: 393–404, 2007     

Embeddings of covering projections of graphs

It is shown that any given k-fold covering projection of graphs p: G₁ → G₂ can be embedded in a k-fold covering projection of closed orientable surfaces π: S₁ → S₂ in the sense that there are embeddings of G₁ in S₁ and G₂ in S₂ such that p is the restriction of π. In the case of a regular covering projection p, which is the quotient map with respect to some group action on G₁, it is shown that there is a regular covering projection π of surfaces in which p can be embedded.     

Edge clique covering sum of graphs

The edge clique cover sum number (resp. edge clique partition sum number) of a graph G, denoted by scc(G) (resp. scp(G)), is defined as the smallest integer k for which there exists a collection of complete subgraphs of G, covering (resp. partitioning) all edges of G such that the sum of sizes of the cliques is at most k. By definition, scc(G) \({\leqq}\) scp(G). Also, it is known that for every graph G on n vertices, scp(G) \({\leqq n^{2}/2}\). In this paper, among some other results, we improve this bound for scc(G). In particular, we prove that if G is a graph on n vertices with no isolated vertex and the maximum degree of the complement of G is d ? 1, for some integer d, then scc(G) \({\leqq cnd\left\lceil\log \left(({n-1})/(d-1)\right)\right\rceil}\), where c is a constant. Moreover, we conjecture that this bound is best possible up to a constant factor. Using a well-known result by Bollobás on set systems, we prove that this conjecture is true at least for d = 2. Finally, we give an interpretation of this conjecture as an interesting set system problem which can be viewed as a multipartite generalization of Bollobás’ two families theorem.