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2009, Random Structures and Algorithms
We show that there is a constant c so that for fixed r ≥ 3 a.a.s. an r-regular graph on n vertices contains a complete graph on c √ n vertices as a minor. This confirms a conjecture of Markström . Since any minor of an r-regular graph on n vertices has at most rn/2 edges, our bound is clearly best possible up to the value of the constant c. As a corollary, we also obtain the likely order of magnitude of the largest complete minor in a random graph Gn,p during the phase transition (i.e. when pn → 1).
Electronic Notes in Discrete Mathematics, 2007
Let ccl(G) denote the order of the largest complete minor in a graph G (also called the contraction clique number) and let Gn,p denote a random graph on n vertices with edge probability p. Bollobás, Catlin and Erdős [5] asymptotically determined ccl(Gn,p) when p is a constant. Luczak, Pittel and Wierman [10] gave bounds on ccl(Gn,p) when p is very close to 1/n, i.e. inside the phase transition. We show that for every ε > 0 there exists a constant C such that whenever C/n < p < 1 − ε then asymptotically almost surely ccl(Gn,p)= (1 ± ε)n/ p log b (np), where b := 1/(1 − p). If p = C/n for a constant C > 1, then asymptotically almost surely ccl(Gn,p)= Θ( √ n). This extends the results in [5] and answers a question of Krivelevich and Sudakov .
Random Structures and Algorithms, 2001
Random d-regular graphs have been well studied when d is fixed and the number of vertices goes to infinity. We obtain results on many of the properties of a random d-regular graph when d = d n grows more quickly than √ n. These properties include connectivity, hamiltonicity, independent set size, chromatic number, choice number, and the size of the second eigenvalue, among others.
Combinatorica, 2011
The k-core of a graph is the largest subgraph of minimum degree at least k. We show that for k sufficiently large, the threshold for the appearance of a k-regular subgraph in the Erdős-Rényi random graph model G(n, p) is at most the threshold for the appearance of a nonempty (k + 2)-core. In particular, this pins down the point of appearance of a k-regular subgraph to a window for p of width roughly 2/n for large n and moderately large k. The result is proved by using Tutte's necessary and sufficient condition for a graph to have a k-factor.
The Electronic Journal of Combinatorics, 2004
Consider random regular graphs of order n and degree d = d(n) ≥ 3. Let g = g(n) ≥ 3 satisfy (d − 1) 2g−1 = o(n). Then the number of cycles of lengths up to g have a distribution similar to that of independent Poisson variables. In particular, we find the asymptotic probability that there are no cycles with sizes in a given set, including the probability that the girth is greater than g. A corresponding result is given for random regular bipartite graphs.
Geometric and Functional Analysis, 2009
e(X) − p |X| 2 2 ≤ β|X| for every subset X ⊆ V , where e(X) stands for the number of edges spanned by X in G. Informally, this definition indicates that the edge distribution of G is similar to that of the random graph G |V |,p , where the degree of similarity is controlled by parameter β. Here are the main results of this paper. Theorem 1 Let 0 < α < 1 be a constant. Let G be a (t, α)-expanding graph of order n, and let t ≥ 10. Then G contains a minor with average degree at least c √ nt log t √ log n , where c = c(α) > 0 is a constant. This is an extension of results of Alon, Seymour and Thomas [5], Plotkin, Rao and Smith [33], and of Kleinberg and Rubinfeld [16], who cover basically the case of expansion by a constant factor t = Θ(1). Theorem 2 Let G be a (p, β)-jumbled graph of order n such that β = o(np). Then G contains a minor with average degree cn √ p, for an absolute constant c > 0. This statement is an extension of results of A. Thomason [39, 40], who studied the case of constant p. It can be also used to derive some of the results of Drier and Linial [12]. Theorem 3 Let 2 ≤ s ≤ s ′ be integers. Let G be a K s,s ′-free graph with average degree r. Then G contains a minor with average degree cr 1+ 1 2(s−1) , where c = c(s, s ′) > 0 is a constant. This confirms a conjecture of Kühn and Osthus from [21]. Theorem 4 Let k ≥ 2 and let G be a C 2k-free graph with average degree r. Then G contains a minor with average degree cr k+1 2 , where c = c(k) > 0 is a constant. This theorem generalizes results of Thomassen [37], Diestel and Rompel [11], and Kühn and Osthus [22], who proved similar statements under the (much more restrictive) assumption that G has girth at least 2k + 1. All of the above results are, up to a constant factor, asymptotically tight (Theorems 1, 2), or are allegedly tight (Theorems 3, 4), where in the latter case the tightness hinges upon widely accepted conjectures from Extremal Graph Theory about the asymptotic behavior of the Turán numbers of K s,s ′ and of C 2k .
Random Structures & Algorithms, 1995
Given a sequence of nonnegative real numbers λ0, λ1… which sum to 1, we consider random graphs having approximately λi n vertices of degree i. Essentially, we show that if Σ i(i ‐ 2)λi > 0, then such graphs almost surely have a giant component, while if Σ i(i ‐2)λ. < 0, then almost surely all components in such graphs are small. We can apply these results to Gn,p,Gn.M, and other well‐known models of random graphs. There are also applications related to the chromatic number of sparse random graphs.
Combinatorics, Probability and Computing, 2002
Let Gr denote a graph chosen uniformly at random from the set of r-regular graphs with vertex set {1,2, …, n}, where 3 [les ] r [les ] c0n for some small constant c0. We prove that, with probability tending to 1 as n → ∞, Gr is r-connected and Hamiltonian.
Journal of Algorithms, 1990
We show how to generate k-regular graphs on n vertices uniformly at random in expected time 0( nk3), provided k = O(n113). The algorithm employs a modification of a switching argument previously used to count such graphs asymptotically for k = o(n'/'). The asymptotic formula is re-derived, using the new switching argument. The method is applied also to graphs with given degree sequences, provided certain conditions are met. In particular, it applies if the maximum degree is 0( IE( G)1"4). The method is ako applied to bipartite graphs. 6 1990 Academic Press, Inc.
Combinatorics, Probability and Computing, 1994
We prove that almost every r-regular digraph is Hamiltonian for all fixed r ≥ 3.
2012
A set S of vertices of a graph G = (V, E) without isolated vertex is a total dominating set if every vertex of V (G) is adjacent to some vertex in S. The total domatic number of a graph G is the maximum number of total dominating sets into which the vertex set of G can be partitioned. We show that the total domatic number of a random r-regular graph is almost surely at most r − 1, and that for 3-regular random graphs, the total domatic number is almost surely equal to 2. We also give a lower bound on the total domatic number of a graph in terms of order, minimum degree and maximum degree. As a corollary, we obtain the result that the total domatic number of an r-regular graph is at least r/(3 ln(r)). MSC(2010): 05C69.
Electronic Notes in Discrete Mathematics, 2011
For the Erdős-Rényi random graph G n,p , we give a precise asymptotic formula for the sizeα t (G n,p) of a largest vertex subset in G n,p that induces a subgraph with average degree at most t, provided that p = p(n) is not too small and t = t(n) is not too large. In the case of fixed t and p, we find that this value is asymptotically almost surely concentrated on at most two explicitly given points. This generalises a result on the independence number of random graphs. For both the upper and lower bounds, we rely on large deviations inequalities for the binomial distribution.
Graphs and Combinatorics, 1992
Let r be a positive integer. Consider r-regular graphs in which no induced subgraph on four vertices is an independent pair of edges. The number v of vertices in such a graph does not exceed 5r/2; this proves a conjecture of Bermond. More generally, it is conjectured that if v > 2r, then the ratio v/r must be a rational number of the form 2 + 1/(2k). This is proved for v/r > 21 _~. The extremal graphs and many other classes of these graphs are described and characterized.
Discrete Mathematics, 2000
Let G be a graph and let G(n; p) be the binomial random graph with n vertices and edge probability p. We consider copies of G in G(n; p), vertex disjoint from all other such copies. For a strictly balanced graph G, initially, every copy of G in G(n; p) is solitary. Suen (Random Struct. Algorithms 1 (1990) 231-242) established a second (disappearance) threshold for a subclass of strictly balanced graphs. In this paper we extend his result to a more general case.
Journal of Combinatorial Theory, Series B, 1986
2009
We study the topological simplification of graphs via random embeddings, leading ultimately to a reduction of the Gupta-Newman-Rabinovich-Sinclair (GNRS) L1 embedding conjecture to a pair of manifestly simpler conjectures. The GNRS conjecture characterizes all graphs that have an O(1)approximate multi-commodity max-flow/min-cut theorem. In particular, its resolution would imply a constant factor approximation for the general Sparsest Cut problem in every family of graphs which forbids some minor. In the course of our study, we prove a number of results of independent interest.
Ars Combinatoria - ARSCOM, 2004
The domatic number of a graph G is the maximum number of dominating sets into which the vertex set of G can be partitioned. We show that the domatic number of a random r-regular graph is almost surely at most r, and that for 3-regular random graphs, the domatic number is almost surely equal to 3. We also give a lower bound on the domatic number of a graph in terms of order, minimum degree and maximum degree. As a corol- lary, we obtain the result that the domatic number of an r-regular graph is at least (r + 1)/(3ln(r + 1)).
Combinatorica, 2006
We study random subgraphs of the n-cube {0,
Random Structures and Algorithms, 2008
The isoperimetric constant of a graph G on n vertices, i(G), is the minimum of |∂S| |S| , taken over all nonempty subsets S ⊂ V (G) of size at most n/2, where ∂S denotes the set of edges with precisely one end in S. A random graph process on n vertices, G(t), is a sequence of n 2 graphs, where G(0) is the edgeless graph on n vertices, and G(t) is the result of adding an edge to G(t − 1), uniformly distributed over all the missing edges. We show that in almost every graph process i( G(t)) equals the minimal degree of G(t) as long as the minimal degree is o(log n). Furthermore, we show that this result is essentially best possible, by demonstrating that along the period in which the minimum degree is typically Θ(log n), the ratio between the isoperimetric constant and the minimum degree falls from 1 to 1 2 , its final value.
SIAM Journal on Discrete Mathematics, 2013
We prove that the number of Hamilton cycles in the random graph G(n, p) is n!p n (1 + o(1)) n a.a.s., provided that p ≥ ln n+ln ln n+ω n . Furthermore, we prove the hitting-time version of this statement, showing that in the random graph process, the edge that creates a graph of minimum degree 2 creates ln n e n (1+o(1)) n Hamilton cycles a.a.s.
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