The threshold for hamilton cycles in the square of a random graph

We show in G_n.p' that the threshold for δ(G) ? 1 is the threshold for G²–G to be Hamiltonian. © 1994 John Wiley & Sons, Inc.     

Rainbow hamilton cycles in random graphs

One of the most famous results in the theory of random graphs establishes that the threshold for Hamiltonicity in the Erd?s‐Rényi random graph G_n,p is around . Much research has been done to extend this to increasingly challenging random structures. In particular, a recent result by Frieze determined the asymptotic threshold for a loose Hamilton cycle in the random 3‐uniform hypergraph by connecting 3‐uniform hypergraphs to edge‐colored graphs. In this work, we consider that setting of edge‐colored graphs, and prove a result which achieves the best possible first order constant. Specifically, when the edges of G_n,p are randomly colored from a set of (1 + o(1))n colors, with , we show that one can almost always find a Hamilton cycle which has the additional property that all edges are distinctly colored (rainbow).Copyright © 2013 Wiley Periodicals, Inc. Random Struct. Alg., 44, 328‐354, 2014     

On the number of independent chorded cycles in a graph

Hajnal and Corrádi proved that any simple graph on at least 3k vertices with minimal degree at least 2k contains k independent cycles. We prove the analogous result for chorded cycles. Let G be a simple graph with |V(G)|4k and minimal degree δ(G)3k. Then G contains k independent chorded cycles. This result is sharp.     

On the maximum number of cycles in a planar graph

Let G be a graph on p vertices with q edges and let r = q ? p = 1. We show that G has at most cycles. We also show that if G is planar, then G has at most 2^{r ? 1} = o(2^{r ? 1}) cycles. The planar result is best possible in the sense that any prism, that is, the Cartesian product of a cycle and a path with one edge, has more than 2^{r ? 1} cycles. © Wiley Periodicals, Inc. J. Graph Theory 57: 255–264, 2008     

On the chromatic forcing number of a random graph

When we wish to compute lower bounds for the chromatic number χ(G) of a graph G, it is of interest to know something about the ‘chromatic forcing number’ f_χ(G), which is defined to be the least number of vertices in a subgraph H of G such that χ(H) = χ(G). We show here that for random graphs G_n,p with n vertices, f_χ(G_n,p) is almost surely at least ($\text{1}\text{2}$?ε)n, despite say the fact that the largest complete subgraph of G_n,p has only about log n vertices.     

On the number of hamiltonian cycles in a maximal planar graph

We consider the problem of the minimum number of Hamiltonian cycles that could be present in a Hamiltonian maximal planar graph on p vertices. In particular, we construct a p-vertex maximal planar graph containing exactly four Hamiltonian cycles for every p ≥ 12. We also prove that every 4-connected maximal planar graph on p vertices contains at least p/(log₂ p) Hamiltonian cycles.     

On the number of vertices of given degree in a random graph

This note can be treated as a supplement to a paper written by Bollobas which was devoted to the vertices of a given degree in a random graph. We determine some values of the edge probability p for which the number of vertices of a given degree of a random graph G ∈ ??(n, p) asymptotically has a normal distribution.     

On the number of cycles of length 4 in a maximal planar graph

Let p and C₄ (G) be the number of vertices and the number of 4-cycles of a maximal planar graph G, respectively. Hakimi and Schmeichel characterized those graphs G for which C₄ (G) = 1/2(p² + 3p - 22). This characterization is correct if p ≥ 9. However, for p = 7 or 8, there is exactly one other graph which violates the theorem in the sense that the upper bound of C₄ (G) is also attained.     

On the number of cycles of length k in a maximal planar graph

Let G be a maximal planar graph with p vertices, and let C_k(G) denote the number of cycles of length k in G. We first present tight bounds for C₃(G) and C₄(G) in terms of p. We then give bounds for C_k(G) when 5 ≤ k ≤ p, and consider in particular bounds for C_p(G), in terms of p. Some conjectures and unsolved problems are stated.     

An algorithm for finding hamilton cycles in random directed graphs

We describe a polynomial (O(n^1.5)) time algorithm DHAM for finding hamilton cycles in digraphs. For digraphs chosen uniformly at random from the set of digraphs with vertex set {1, 2, …, n} and m = m(n) edges the limiting probability (as n → ∞) that DHAM finds a hamilton cycle equals the limiting probability that the digraph is hamiltonian. Some applications to random “travelling salesman problems” are discussed.     

On the chromatic number of a random subgraph of the Kneser graph

Results are obtained that substantially strengthen a previously known bound for the chromatic number of a random subgraph of the Kneser graph.     

An algorithm for finding hamilton paths and cycles in random graphs

This paper describes a polynomial time algorithm HAM that searches for Hamilton cycles in undirected graphs. On a random graph its asymptotic probability of success is that of the existence of such a cycle. If all graphs withn vertices are considered equally likely, then using dynamic programming on failure leads to an algorithm with polynomial expected time. The algorithm HAM is also used to solve the symmetric bottleneck travelling salesman problem with probability tending to 1, asn tends to ∞. Various modifications of HAM are shown to solve several Hamilton path problems. Supported by NSF Grant MCS 810 4854.     

On covering expander graphs by hamilton cycles

The problem of packing Hamilton cycles in random and pseudorandom graphs has been studied extensively. In this paper, we look at the dual question of covering all edges of a graph by Hamilton cycles and prove that if a graph with maximum degree Δ satisfies some basic expansion properties and contains a family of edge disjoint Hamilton cycles, then there also exists a covering of its edges by Hamilton cycles. This implies that for every α > 0 and every there exists a covering of all edges of G(n,p) by Hamilton cycles asymptotically almost surely, which is nearly optimal.Copyright © 2012 Wiley Periodicals, Inc. Random Struct. Alg., 44, 183‐200, 2014     

Disjoint Hamilton cycles in the random geometric graph

We consider the standard random geometric graph process in which n vertices are placed at random on the unit square and edges are sequentially added in increasing order of edge‐length. For fixed k?1, weprove that the first edge in the process that creates a k‐connected graph coincides a.a.s. with the first edge that causes the graph to contain k/2 pairwise edge‐disjoint Hamilton cycles (for even k), or (k?1)/2 Hamilton cycles plus one perfect matching, all of them pairwise edge‐disjoint (for odd k). This proves and extends a conjecture of Krivelevich and M ler. In the special case when k = 2, our result says that the first edge that makes the random geometric graph Hamiltonian is a.a.s. exactly the same one that gives 2‐connectivity, which answers a question of Penrose. (This result appeared in three independent preprints, one of which was a precursor to this article.) We prove our results with lengths measured using the ?_p norm for any p>1, and we also extend our result to higher dimensions. © 2011 Wiley Periodicals, Inc. J Graph Theory 68:299‐322, 2011     

On the chromatic number of a random 5‐regular graph

It was only recently shown by Shi and Wormald, using the differential equation method to analyze an appropriate algorithm, that a random 5‐regular graph asymptotically almost surely has chromatic number at most 4. Here, we show that the chromatic number of a random 5‐regular graph is asymptotically almost surely equal to 3, provided a certain four‐variable function has a unique maximum at a given point in a bounded domain. We also describe extensive numerical evidence that strongly suggests that the latter condition holds. The proof applies the small subgraph conditioning method to the number of locally rainbow balanced 3‐colorings, where a coloring is balanced if the number of vertices of each color is equal, and locally rainbow if every vertex is adjacent to at least one vertex of each of the other colors. © 2009 Wiley Periodicals, Inc. J Graph Theory 61: 157–191, 2009     

Oriented hamilton cycles in digraphs

We show that a directed graph of order n will contain n-cycles of every orientation, provided each vertex has indegree and outdegree at least (1/2 + n^-1/6)n and n is sufficiently large. © 1995 John Wiley & Sons, Inc.     

The dominating number of a random cubic graph

We show that if G is a random 3-regular graph on n vertices, then its dominating number, D(G), almost surely satisfies .2636n ≤ D(G) ≤ .3126n. © 1995 John Wiley & Sons, Inc.