TL;DR: It is shown that if G is Kp+1-free then if δ be the minimal degree of G then This inequality supersedes inequalities of Stanley and Hong and is sharp for regular graphs and for a class of graphs which are in some sense maximally irregular.
Abstract: Let λ(G) be the largest eigenvalue of the adjacency matrix of a graph G: We show that if G is Kp+1-free then ***** insert CODING here *****This inequality was first conjectured by Edwards and Elphick in 1983 and supersedes a series of previous results on upper bounds of λ(G).Let Ti denote the number of all i-cliques of G, λ = λ(G) and p = cl(G): We show ***** insert equation here *****Let δ be the minimal degree of G. We show ***** insert equation here *****This inequality supersedes inequalities of Stanley and Hong. It is sharp for regular graphs and for a class of graphs which are in some sense maximally irregular.
TL;DR: The Wiener index is analysed for random recursive trees and random binary search trees in uniform probabilistic models and expectations, asymptotics for the variances, and limit laws for this parameter are obtained.
Abstract: The Wiener index is analysed for random recursive trees and random binary search trees in uniform probabilistic models. We obtain expectations, asymptotics for the variances, and limit laws for this parameter. The limit distributions are characterized as the projections of bivariate measures that satisfy certain fixed point equations. Covariances, asymptotic correlations, and bivariate limit laws for the Wiener index and the internal path length are given.
TL;DR: This paper proves several contiguity results involving permutation pseudographs (contiguity is a kind of asymptotic equivalence of sequences of probability spaces) and shows that a random 4-regular pseudograph is contiguous with the sum of two permutations pseudographs.
Abstract: The space of permutation pseudographs is a probabilistic model of 2-regular pseudographs on n vertices, where a pseudograph is produced by choosing a permutation s of l1,2,…, nr uniformly at random and taking the n edges li,s(i)r. We prove several contiguity results involving permutation pseudographs (contiguity is a kind of asymptotic equivalence of sequences of probability spaces). Namely, we show that a random 4-regular pseudograph is contiguous with the sum of two permutation pseudographs, the sum of a permutation pseudograph and a random Hamilton cycle, and the sum of a permutation pseudograph and a random 2-regular pseudograph. (The sum of two random pseudograph spaces is defined by choosing a pseudograph from each space independently and taking the union of the edges of the two pseudographs.) All these results are proved simultaneously by working in a general setting, where each cycle of the permutation is given a nonnegative constant multiplicative weight. A further contiguity result is proved involving the union of a weighted permutation pseudograph and a random regular graph of arbitrary degree. All corresponding results for simple graphs are obtained as corollaries.
TL;DR: It is shown that there exist constants K0, K1 [les ] 21 such that, provided m [ges] K0n log n and κ [ges ] K1n, then a random edge-coloured graph contains a multi-colours Hamilton cycle with probability tending to 1 as the number of vertices n tends to infinity.
Abstract: We define a space of random edge-coloured graphs Gn,m,κ which correspond naturally to edge κ-colourings of Gn,m. We show that there exist constants K0, K1 ≤ 21 such that, provided m ≥ K0n log n and κ ≥ K1n, then a random edge-coloured graph contains a multi-coloured Hamilton cycle with probability tending to 1 as the number of vertices n tends to infinity.
TL;DR: Here, this work proves the conjecture that, with k = m = n → ∞, the variance is 2/n + O(log n/n2), and includes some asymptotic properties of the expectation and variance when k is fixed.
Abstract: A generalization of the random assignment problem asks the expected cost of the minimum-cost matching of cardinality k in a complete bipartite graph Km,n, with independent random edge weights. With weights drawn from the exponential distribution with intensity 1, the answer has been conjectured to beΣi,j≥0, i+j
TL;DR: It is proved that, with probability tending to 1 as n → ∞, Gr has the following properties: the independence number of Gr is asymptotically 2n log r/r and the chromatic number ofGr is asynchronic r/2nlogr.
Abstract: Let r = r(n) → ∞ with 3 l r l n1−η for an arbitrarily small constant η > 0, and let Gr denote a graph chosen uniformly at random from the set of r-regular graphs with vertex set l1, 2, …, nr. We prove that, with probability tending to 1 as n → ∞, Gr has the following properties: the independence number of Gr is asymptotically 2n log r/r and the chromatic number of Gr is asymptotically r/2nlogr.
TL;DR: In this paper, the complexity of computing the coefficients of three classical polynomials, namely the chromatic, flow and reliability coefficients of a graph, was studied and it was shown that unless NP = RP, many of the relevant coefficients do not even have good randomized approximation schemes.
Abstract: We study the complexity of computing the coefficients of three classical polynomials, namely the chromatic, flow and reliability polynomials of a graph. Each of these is a specialization of the Tutte polynomial Σtijxiyj. It is shown that, unless NP = RP, many of the relevant coefficients do not even have good randomized approximation schemes. We consider the quasi-order induced by approximation reducibility and highlight the pivotal position of the coefficient t10 = t01, otherwise known as the beta invariant.Our nonapproximability results are obtained by showing that various decision problems based on the coefficients are NP-hard. A study of such predicates shows a significant difference between the case of graphs, where, by Robertson–Seymour theory, they are computable in polynomial time, and the case of matrices over finite fields, where they are shown to be NP-hard.
TL;DR: A well-known conjecture for the Turán number of bipartite graphs, it is proved that ex(n, K(r)(s1,…,sr)) = Θ(nr−1/s), which improves upon the previous best lower bound of Ω(n29/11) obtained by probabilistic methods.
Abstract: Given a family F of r-graphs, let ex(n, F) be the maximum number of edges in an n-vertex r-graph containing no member of F. Let C(r) 4 denote the family of r-graphs with distinct edges A, B, C, D, such that A ∩ B = C ∩ D = O and A ∪ B = C ∪ D. For s1 l … l sr, let K(r) (s1,…,sr) be the complete r-partite r-graph with parts of sizes s1,…,sr.Furedi conjectured over 15 years ago that ex(n,C(3)4) l (n2) for sufficiently large n. We prove the weaker resultex(n, {C(3)4, K(3)(1,2,4)}) l (n2).Generalizing a well-known conjecture for the Turan number of bipartite graphs, we conjecture thatex(n, K(r)(s1,…,sr)) = Θ(nr−1/s),where s = Πr−1i=1 si. We prove this conjecture when s1 = … = sr−2 = 1 and(i) sr−1 = 2, (ii) sr−1 = sr = 3, (iii)sr > (sr−1−1)!.In cases (i) and (ii), we determine the asymptotic value of ex(n,K(r)(s1,…,sr)).We also provide an explicit construction givingex(n,K(3)(2,2,3)) > (1/6−o(1))n8/3.This improves upon the previous best lower bound of O(n29/11) obtained by probabilistic methods. Several related open problems are also presented.
TL;DR: A stochastic process based on the iterated prisoner's dilemma game, where each player has a state, and the states of the players connected by the edge are modified according to the Pavlov strategy, which converges to a unique absorbing state in which all players cooperate.
Abstract: We consider a stochastic process based on the iterated prisoner's dilemma game. During the game, each of n players has a state, either cooperate or defect. The players are connected by an ‘interaction graph’. During each step of the process, an edge of the graph is chosen uniformly at random and the states of the players connected by the edge are modified according to the Pavlov strategy. The process converges to a unique absorbing state in which all players cooperate. We prove two conjectures of Kittock: the convergence rate is exponential in n when the interaction graph is a complete graph, and it is polynomial in n when the interaction graph is a cycle. In fact, we show that the rate is O(n log n) in the latter case.
TL;DR: For a stochastic approximation-type recursion with finitely many possible limit points, this work finds a lower bound on the probability of converging to a prescribed point in its ‘domain of attraction’.
Abstract: For a stochastic approximation-type recursion with finitely many possible limit points, we find a lower bound on the probability of converging to a prescribed point in its ‘domain of attraction’. This has implications for the lock-in phenomena in the stochastic models of increasing return economics and the sample complexity of stochastic approximation algorithms in engineering.
TL;DR: It is shown that, if T is a tree with n edges and radius r, then T decomposes Kt for some t [les ] 32(2r+4)n2+1, and it is proved that the elements aπ(i)+i are all distinct modulo n.
Abstract: In this paper we are concerned with the following conjecture.Conjecture. For any positive integers n and k satisfying k < n, and any sequence a1, a2, … ak of not necessarily distinct elements of Zn, there exists a permutation π ∈ Sk such that the elements aπ(i)+i are all distinct modulo n.We prove this conjecture when 2k ≤ n+1. We then apply this result to tree embeddings. Specifically, we show that, if T is a tree with n edges and radius r, then T decomposes Kt for some t ≤ 32(2r+4)n2+1.
TL;DR: The asymptotic behaviour of the relative entropy (to stationarity) for a commonly used model for riffle shuffling a deck of n cards m times shows that the deck becomes random in this information-theoretic sense after m = 3/2 log2n shuffles.
Abstract: We study the asymptotic behaviour of the relative entropy (to stationarity) for a commonly used model for riffle shuffling a deck of n cards m times. Our results establish and were motivated by a prediction in a recent numerical study of Trefethen and Trefethen. Loosely speaking, the relative entropy decays approximately linearly (in m) for m log2 n. The deck becomes random in this information-theoretic sense after m = 3/2 log2 n shuffles.
TL;DR: It is proved that, if the edge connectivity k(G) satisfies k (G) [Gt ] d/log n, then the connectivity threshold in Gp is sharp, and this result is asymptotically tight.
Abstract: Given a graph G on n vertices with average degree d, form a random subgraph Gp by choosing each edge of G independently with probability p. Strengthening a classical result of Margulis we prove that, if the edge connectivity k(G) satisfies k(G) > d/log n, then the connectivity threshold in Gp is sharp. This result is asymptotically tight.
TL;DR: If T is a tree of order n+1−c′n, c′ [les ] 1/25 (37−8 √21 ) ≈ 0.0135748, such that there exists a vertex x ∈ V(T) and T−x has at least n(1−2c′) isolated vertices, then 2n+1 copies of T may be packed into K2n-1.
Abstract: Let c l 0.076122 and T1, T2,…, Tn be a sequence of trees such that mV(Ti)m l i−c(i−1). We prove that, if for each 1 l i l n there exists a vertex xi ∈ V(Ti) such that Ti−xi has at least (1−2c)(i−1) isolated vertices, then T1,…, Tn can be packed into Kn. We also prove that if T is a tree of order n+1−c′n, c′ l 1/25 (37−8 √21 ) a 0.0135748, such that there exists a vertex x ∈ V(T) and T−x has at least n(1−2c′) isolated vertices, then 2np1 copies of T may be packed into K2np1.
TL;DR: Improved lower and upper bounds for the time constant of first-passage percolation on the square lattice are presented and a new method, using the idea of a transition matrix, has been used.
Abstract: We present improved lower and upper bounds for the time constant of first-passage percolation on the square lattice. For the case of lower bounds, a new method, using the idea of a transition matrix, has been used. Numerical results for the exponential and uniform distributions are presented. A simulation study is included, which results in new estimates and improved upper confidence limits for the time constants.
TL;DR: The key ingredient is a generalization of a colouring lemma, due to Papadimitriou and Sipser, which says that for every balanced red—blue colouring of the edges of the complete n-vertex graph there is a set of εn2 triangles, none of which is monochromatic, such that no triangle can be formed by picking edges from different triangles.
Abstract: We show that recognizing the K3-freeness and K4-freeness of graphs is hard, respectively, for two-player nondeterministic communication protocols using exponentially many partitions and for nondeterministic syntactic read-r times branching programs.The key ingredient is a generalization of a colouring lemma, due to Papadimitriou and Sipser, which says that for every balanced redblue colouring of the edges of the complete n-vertex graph there is a set of en2 triangles, none of which is monochromatic, such that no triangle can be formed by picking edges from different triangles. We extend this lemma to exponentially many colourings and to partial colourings.
TL;DR: If cor (w) > cor(w′) then aw (n)−aw′(n) > (|Ω|−1)(aw(n−1)−AW′( n−1)) for n [ges ] N, and the value of N is given, confirming a conjecture by Eriksson.
Abstract: Consider a finite alphabet Ω and patterns which consist of characters from Ω. For a given pattern w, let cor(w) denote its autocorrelation, which can be seen as a measure of the amount of overlap in w. Letting aw(n) denote the number of strings over Ω of length n which do not contain w as a substring, the main result of this paper is: If cor(w) > cor(w′) then aw(n)−aw′(n) > (|Ω|−1)(aw(n−1)−aw′(n−1)) for n ≥ N, and the value of N is given. This result confirms a conjecture by Eriksson [2], which was previously proved to be true by Cakir, Chryssaphinou and Mansson [1] when |Ω| ≥ 3.
TL;DR: This work considers k-uniform set systems over a universe of size n such that the size of each pairwise intersection of sets lies in one of s residue classes mod q, but k does not lie in any of these s classes.
Abstract: We consider k-uniform set systems over a universe of size n such that the size of each pairwise intersection of sets lies in one of s residue classes mod q, but k does not lie in any of these s classes. A celebrated theorem of Frankl and Wilson [8] states that any such set system has size at most (ns) when q is prime. In a remarkable recent paper, Grolmusz [9] constructed set systems of superpolynomial size Ω(exp(c log2 n/log log n)) when q = 6. We give a new, simpler construction achieving a slightly improved bound. Our construction combines a technique of Frankl [6] of applying polynomials to set systems with Grolmusz's idea of employing polynomials introduced by Barrington, Beigel and Rudich [5]. We also extend Frankl's original argument to arbitrary prime-power moduli: for any e > 0, we construct systems of size ns+g(s), where g(s) = Ω(s1−E). Our work overlaps with a very recent technical report by Grolmusz [10].
TL;DR: The main result is that dγ (P,Q) [les ] [2k+3]d[Qscr ]ns (P-Q) almost surely for P,Q ∈ γ, pn = n−a and 0 [les] a < ½, where k = [1+3a/1−2a] and dγ and d[ Qscr ].
Abstract: In this paper we study distances in random subgraphs of a generalized n-cube Qns over a finite alphabet S of size s. Qns is the direct product of complete graphs over s vertices, its vertices being the n-tuples (x1, …, xn), with xi ∈ S, i = 1, … n, and two vertices being adjacent if they differ in exactly one coordinate. A random (induced) subgraph γ of Qns is obtained by selecting Qns-vertices with independent probability pn and then inducing the corresponding edges from Qns. Our main result is that dγ (P,Q) l [2k+3]dQns (P,Q) almost surely for P,Q ∈ γ, pn = n−a and 0 l a < ½, where k = [1+3a/1−2a] and dγ and dQns denote the distances in γ and Qns, respectively.
TL;DR: The main result is a Bonferroni-type inequality where the selection of intersections in the estimates is determined by a chordal graph G, interpolates between Boole's inequality and the sieve formula (G complete).
Abstract: Let lAvrv∈V be a finite collection of events and G = (V, E) be a chordal graph. Our main result – the chordal graph sieve – is a Bonferroni-type inequality where the selection of intersections in the estimates is determined by a chordal graph G. It interpolates between Boole's inequality (G empty) and the sieve formula (G complete). By varying G, several inequalities both well-known and new are obtained in a concise and unified way.
TL;DR: It is shown that the Burnside process is not rapidly mixing in general, and an infinite family of permutation groups is constructed for which the mixing time is exponential in the degree of the group.
Abstract: We consider the problem of sampling ‘unlabelled structures’, i.e., sampling combinatorial structures modulo a group of symmetries. The main tool which has been used for this sampling problem is Burnside’s lemma. In situations where a significant proportion of the structures have no nontrivial symmetries, it is already fairly well understood how to apply this tool. More generally, it is possible to obtain nearly uniform samples by simulating a Markov chain that we call the Burnside process: this is a random walk on a bipartite graph which essentially implements Burnside’s lemma. For this approach to be feasible, the Markov chain ought to be ‘rapidly mixing’, i.e., converge rapidly to equilibrium. The Burnside process was known to be rapidly mixing for some special groups, and it has even been implemented in some computational group theory algorithms. In this paper, we show that the Burnside process is not rapidly mixing in general. In particular, we construct an infinite family of permutation groups for which we show that the mixing time is exponential in the degree of the group.
TL;DR: It is proved that for any fixed n and rooted binary trees T1, T2 such that T2 contains a subposet isomorphic to T1 such that the ratio A/B also increases with T for arbitrary trees.
Abstract: Let Tn be the complete binary tree of height n considered as the Hasse diagram of a poset with its root 1n as the maximum element. Define A(n; T) = m{S ⊆ Tn : 1n ∈ S, S ≅ T}m, and B(n; T) = m{S ⊆ Tn : 1n ∉ S, S ≅ T}m. In this note we prove that ***** insert equation here ***** for any fixed n and rooted binary trees T1, T2 such that T2 contains a subposet isomorphic to T1. We conjecture that the ratio A/B also increases with T for arbitrary trees. These inequalities imply natural behaviour of the optimal stopping time in a poset extension of the secretary problem.
TL;DR: It is found that the relative entropy of a deck of n cards after m successive top to random shuffles converges to an explicitly given expression when m = [n log n+cn] for a constant c.
Abstract: A top to random shuffle of a deck of cards is performed by taking the top card off of the deck and replacing it in a randomly chosen position of the deck. We find approximations of the relative entropy of a deck of n cards after m successive top to random shuffles. Initially the relative entropy decays linearly and for larger m it decays geometrically at a rate that alters abruptly at m = n log n. It converges to an explicitly given expression when m = [n log n+cn] for a constant c.
TL;DR: It is shown that, for every positive integer c*, there is an integer n such that, if M is a matroid whose largest cocircuit has size c*, then E(M) can be partitioned into two sets E1 and E2 such that every connected component of each of M[ mid ]E1 and M[mid ]E2 has at most n elements.
Abstract: We show that, for every positive integer c*, there is an integer n such that, if M is a matroid whose largest cocircuit has size c*, then E(M) can be partitioned into two sets E1 and E2 such that every connected component of each of MmE1 and MmE2 has at most n elements.
TL;DR: For two stochastically dependent random variables X and Y taking values in {0,…, m−1}, this article derived an upper bound for the distance Δm = supxE[0, 1] ȣ P(U/m ≤ x)−x.
Abstract: For two stochastically dependent random variables X and Y taking values in {0,…, m−1}, we study the distribution of the random residue U = XY mod m. Our main result is an upper bound for the distance Δm = supxE[0,1] ȣ P(U/m ≤ x)−xȣ. For independent and uniformly distributed X and Y, the exact distribution of U is derived and shown to be stochastically smaller than the uniform distribution on {0,…, m−1}. Moreover, in this case Δm is given explicitly.
TL;DR: An ellipsoid-based algorithm whose separation problem is the minimum circuit problem on series-parallel mixed graphs, which is shown to be polynomially solvable and it is proved that both problems are NP-hard for planar mixed graphs.
Abstract: The circuit cover problem for mixed graphs (those containing edges and/or arcs) is defined as follows. Given a mixed graph M with a nonnegative integer weight function p on its edges and arcs, decide whether ( M , p ) has a circuit cover , that is, a list of circuits in M such that every edge (arc) e is contained in exactly p ( e ) circuits of the list. In the special case when M is a directed graph (contains only arcs), the problem is easy, but when M is an undirected graph not many results are known. For general mixed graphs this problem was shown to be NP-complete by Arkin and Papadimitriou in 1986. We prove that this problem remains NP-complete for planar mixed graphs. Furthermore, we present a good characterization for the existence of a circuit cover when M is series-parallel (a similar result holds for the fractional version). We also describe a polynomial algorithm to find such a circuit cover, when it exists. This is an ellipsoid-based algorithm whose separation problem is the minimum circuit problem on series-parallel mixed graphs, which we show to be polynomially solvable. Results on two well-known combinatorial problems, the problem of detecting negative circuits and the problem of finding shortest paths, are also presented. We prove that both problems are NP-hard for planar mixed graphs.
TL;DR: This work finds necessary and sufficient conditions for this quotient of the automorphism group A of a Dowling lattice to be the semidirect product A = θ(K) [rtimes ]θ(H).
Abstract: In ‘Automorphisms of Dowling lattices and related geometries’, J. Bonin constructed the automorphism group A of a Dowling lattice as the image of a certain semidirect product, A = t(K r H). In this work we find necessary and sufficient conditions for this quotient to be the semidirect product A = t(K) r t(H). In addition, we include a construction of A that lends itself to computation more readily than that found in Bonin's work.
TL;DR: Using partitioning techniques, sub-additivity and concentration of measure arguments, it is shown that, after normalization by n2/3, the size of two-dimensional square packings tends in probability toward a genuine limit γ, and that large fluctuations of order n1/3 should have probability vanishing exponentially fast with n2 /3.
Abstract: An instance of the square packing problem consists of n squares with independently, uniformly distributed side-lengths and independently, uniformly distributed locations on the unit d-dimensional torus. A packing is a maximum family of pairwise disjoint squares. The one-dimensional version of the problem is the classical random interval packing problem. This paper deals with the asymptotic behaviour of packings as n tends to infinity while d = 2. Coffman, Lueker, Spencer and Winkler recently proved that the average size of packing is Θ(nd/(d+1)). Using partitioning techniques, sub-additivity and concentration of measure arguments, we show first that, after normalization by n2/3, the size of two-dimensional square packings tends in probability toward a genuine limit γ. Straightforward concentration arguments show that large fluctuations of order n2/3 should have probability vanishing exponentially fast with n2/3. Even though γ remains unknown, using a change of measure argument we show that this upper bound on tail probabilities is qualitatively correct.
TL;DR: An asymptotic formula is found for the number of graphs on n vertices which have maximum degree at most 1/2n−1+τ and it is shown that their number of edges has a normal distribution whose parameters the authors determine.
Abstract: Consider the class of graphs on n vertices which have maximum degree at most 1/2n−1+τ, where τ ≥ −n1/2+e for sufficiently small e > 0. We find an asymptotic formula for the number of such graphs and show that their number of edges has a normal distribution whose parameters we determine. We also show that expectations of random variables on the degree sequences of such graphs can often be estimated using a model based on truncated binomial distributions.