Phase transition for Parking blocks,Brownian excursion and coalescence

In this paper, we consider hashing with linear probing for a hashing table with m places, n items (n < m), and ? = m ? n empty places. For a noncomputer science‐minded reader, we shall use the metaphore of n cars parking on m places: each car c_i chooses a place p_i at random, and if p_i is occupied, c_i tries successively p_i + 1, p_i + 2, until it finds an empty place. Pittel [42] proves that when ?/m goes to some positive limit β < 1, the size B of the largest block of consecutive cars satisfies 2(β ? 1 ? log β)B = 2 log m ? 3 log log m + Ξ_m, where Ξ_m converges weakly to an extreme‐value distribution. In this paper we examine at which level for n a phase transition occurs between B = o(m) and m ? B = o(m). The intermediate case reveals an interesting behavior of sizes of blocks, related to the standard additive coalescent in the same way as the sizes of connected components of the random graph are related to the multiplicative coalescent. © 2002 Wiley Periodicals, Inc. Random Struct. Alg., 21: 76–119, 2002     

A note on bipartite subgraphs of triangle-free graphs

Let G be a triangle-free graph on n points with m edges and vertex degrees d₁, d₂,…, d_n. Let k be the maximum number of edges in a bipartite subgraph of G. In this note we show that k ? m/2 + Σ √d_i. It follows as a corollary that k ? m/2 + cm^3/4.     

Word maps and spectra of random graph lifts

We study here the spectra of random lifts of graphs. Let G be a finite connected graph, and let the infinite tree T be its universal cover space. If λ₁ and ρ are the spectral radii of G and T respectively, then, as shown by Friedman (Graphs Duke Math J 118 (2003), 19–35), in almost every n‐lift H of G, all “new” eigenvalues of H are ≤ O(λ ρ^1/2). Here we improve this bound to O(λ ρ^2/3). It is conjectured in (Friedman, Graphs Duke Math J 118 (2003) 19–35) that the statement holds with the bound ρ + o(1) which, if true, is tight by (Greenberg, PhD thesis, 1995). For G a bouquet with d/2 loops, our arguments yield a simple proof that almost every d‐regular graph has second eigenvalue O(d^2/3). For the bouquet, Friedman (2008). has famously proved the (nearly?) optimal bound of . Central to our work is a new analysis of formal words. Let w be a formal word in letters g,…,g. The word map associated with w maps the permutations σ₁,…,σ_k ∈ S_n to the permutation obtained by replacing for each i, every occurrence of g_i in w by σ_i. We investigate the random variable X that counts the fixed points in this permutation when the σ_i are selected uniformly at random. The analysis of the expectation ??(X) suggests a categorization of formal words which considerably extends the dichotomy of primitive vs. imprimitive words. A major ingredient of a our work is a second categorization of formal words with the same property. We establish some results and make a few conjectures about the relation between the two categorizations. These conjectures suggest a possible approach to (a slightly weaker version of) Friedman's conjecture. As an aside, we obtain a new conceptual and relatively simple proof of a theorem of A. Nica (Nica, Random Struct Algorithms 5 (1994), 703–730), which determines, for every fixed w, the limit distribution (as n →∞) of X. A surprising aspect of this theorem is that the answer depends only on the largest integer d so that w = u^d for some word u. © 2010 Wiley Periodicals, Inc. Random Struct. Alg., 2010     

m‐ary Search trees when m ≥ 27: A strong asymptotics for the space requirements

It is known that the joint distribution of the number of nodes of each type of an m‐ary search tree is asymptotically multivariate normal when m ≤ 26. When m ≥ 27, we show the following strong asymptotics of the random vector X_n = ^t(X, … , X), where X denotes the number of nodes containing i ? 1 keys after having introduced n ? 1 keys in the tree: There exist (nonrandom) vectors X, C, and S and random variables ρ and φ such that (X_n ? nX)/n ? ρ(C cos(τ₂log n + φ) + S sin(τ₂log n + φ)) →_n→∞ 0 almost surely and in L²; σ₂ and τ₂ denote the real and imaginary parts of one of the eigenvalues of the transition matrix, having the second greatest real part. © 2004 Wiley Periodicals, Inc. Random Struct. Alg., 2004     

Slow emergence of the giant component in the growing m‐out graph

Let H be a random graph on n vertices, grown by adding vertices one at a time, joining each new vertex to a uniformly chosen set of m earlier vertices. If edges of H are deleted independently, each being retained with probability p, then there is a “phase transition”. There is a certain critical value p_c of p such that, with high probability, a component of order Θ(n) remains as n → ∞ if and only if p > p_c. Among other results, we obtain the exact value of p_c, which depends on m in a nontrivial way, and show that the phase transition has “infinite order”; in fact, for p = p_c + ?, the largest component has order exp(?Θ(1/ ))n with high probability. Analogous results were proved recently in by Bollobás, Janson, and Riordan [Random Structures Algorithms 26 (2005), 1–36] for a related model in which edges are present independently. The model we study is considerably more difficult to analyze, since the dependence between the edges is very important, affecting the value of p_c, so many new complications arise. In overcoming these complications we make use of the techniques developed by the authors [Internet Math 1 (2003), 1–35] to analyze a very different model. © 2005 Wiley Periodicals, Inc. Random Struct. Alg., 2005     

Finding blocks and other patterns in a random coloring of ℤ

Let ξ = (ξ_k)_k∈? be i.i.d. with P(ξ_k = 0) = P(ξ_k = 1) = 1/2, and let S: = (S_k) be a symmetric random walk with holding on ?, independent of ξ. We consider the scenery ξ observed along the random walk path S, namely, the process (χ_k := ξ). With high probability, we reconstruct the color and the length of blockⁿ, a block in ξ of length ≥ n close to the origin, given only the observations (χ_k). We find stopping times that stop the random walker with high probability at particular places of the scenery, namely on blockⁿ and in the interval [?3ⁿ,3ⁿ]. Moreover, we reconstruct with high probability a piece of ξ of length of the order 3 around blockⁿ, given only 3 observations collected by the random walker starting on the boundary of blockⁿ. © 2005 Wiley Periodicals, Inc. Random Struct. Alg., 2006     

On smallest triangles

Pick n points independently at random in ?², according to a prescribed probability measure μ, and let Δ ≤ Δ ≤ … be the areas of the () triangles thus formed, in nondecreasing order. If μ is absolutely continuous with respect to Lebesgue measure, then, under weak conditions, the set {n³Δ : i ≥ 1} converges as n → ∞ to a Poisson process with a constant intensity κ(μ). This result, and related conclusions, are proved using standard arguments of Poisson approximation, and may be extended to functionals more general than the area of a triangle. It is proved in addition that if μ is the uniform probability measure on the region S, then κ(μ) ≤ 2/|S|, where |S| denotes the area of S. Equality holds in that κ(μ) = 2/|S| if S is convex, and essentially only then. This work generalizes and extends considerably the conclusions of a recent paper of Jiang, Li, and Vitányi. © 2003 Wiley Periodicals, Inc. Random Struct. Alg., 23: 206–223, 2003     

Complete matchings in random subgraphs of the cube

In this article it is shown that for almost every random cube process the hitting time of a complete matching equals the hitting time of having minimal degree (at least) one and also the hitting time of connectedness. It follows from this that if t = (n + c + o(1))2^n?2 for some constant c, then the probability that a random subgraph of the n-cube having precisely t edges has a complete matching tends to e.     

Markov chains on hypercubes: Spectral representations and several majorization relations

Various Markov chains on hypercubes ??are considered and their spectral representations are presentend in terms of Kronecker products. Special attention is given to random walks on the graphs ??(l = 1,n ? 2), where the vertex set is ?? and two vertices are connected if and only if their Hamming distance is at most l. It is shown that λ(??₁)>λ(??₁)>λ(??_n?1)>λ(??_n),l=2,…,n?2, where λ (??_I) is the specturum of the random walk on ??I, and > denotes the majorization ordering. A similar majorization relation is established for graphs V₁ where two veritces are connected if and only if their Hamming distance is exactly l. Some applications to mean times of these random walks are given. © 1993 John Wiley & Sons, Inc.     

On series of signed vectors and their rearrangements

Let x₁,…,x_m∈ \input amssym $ \Bbb R$ n be a sequence of vectors with ∥x_i∥₂ ≤ 1 for all i. It is proved that there are signs ε₁,…,ε_m = ±1 such that where C₁, C₂ are some numerical constants. It is also proved that there are signs ε,…,ε = ±1 and a permutation π of {1,…,m} such that where C^′ is some other numerical constant. © 2011 Wiley Periodicals, Inc. Random Struct. Alg., 2011     

Coin flipping from a cosmic source: On error correction of truly random bits

We study a problem related to coin flipping, coding theory, and noise sensitivity. Consider a source of truly random bits x ∈ {0, 1}ⁿ, and k parties, who have noisy version of the source bits yⁱ ∈ {0, 1}ⁿ, when for all i and j, it holds that P [y = x_j] = 1 ? ?, independently for all i and j. That is, each party sees each bit correctly with probability 1 ? ?, and incorrectly (flipped) with probability ?, independently for all bits and all parties. The parties, who cannot communicate, wish to agree beforehand on balanced functions f_i: {0, 1}ⁿ → {0, 1} such that P [f₁(y¹) = … = f_k(y^k)] is maximized. In other words, each party wants to toss a fair coin so that the probability that all parties have the same coin is maximized. The function f_i may be thought of as an error correcting procedure for the source x. When k = 2,3, no error correction is possible, as the optimal protocol is given by f_i(yⁱ) = y. On the other hand, for large values of k, better protocols exist. We study general properties of the optimal protocols and the asymptotic behavior of the problem with respect to k, n, and ?. Our analysis uses tools from probability, discrete Fourier analysis, convexity, and discrete symmetrization. © 2005 Wiley Periodicals, Inc. Random Struct. Alg., 2005     

The circular chromatic number of the Mycielskian of G

In a search for triangle-free graphs with arbitrarily large chromatic numbers, Mycielski developed a graph transformation that transforms a graph G into a new graph μ(G), we now call the Mycielskian of G, which has the same clique number as G and whose chromatic number equals χ(G) + 1. Chang, Huang, and Zhu [G. J. Chang, L. Huang, & X. Zhu, Discrete Math, to appear] have investigated circular chromatic numbers of Mycielskians for several classes of graphs. In this article, we study circular chromatic numbers of Mycielskians for another class of graphs G. The main result is that χ_c(μ(G)) = χ(μ(G)), which settles a problem raised in [G. J. Chang, L. Huang, & X. Zhu, Discrete Math, to appear, and X. Zhu, to appear]. As χ_c(G) = and χ(G) = , consequently, there exist graphs G such that χ_c(G) is as close to χ(G) − 1 as you want, but χ_c(μ(G)) = χ(μ(G)). © 1999 John Wiley & Sons, Inc. J Graph Theory 32: 63–71, 1999     

Perfect matchings in random uniform hypergraphs

Let ??_k(n, p) be the random k‐uniform hypergraph on V = [n] with edge probability p. Motivated by a theorem of Erd?s and Rényi 7 regarding when a random graph G(n, p) = ??₂(n, p) has a perfect matching, the following conjecture may be raised. (See J. Schmidt and E. Shamir 16 for a weaker version.) Conjecture. Let k|n for fixed k ≥ 3, and the expected degree d(n, p) = p(). Then (Erd?s and Rényi 7 proved this for G(n, p).) Assuming d(n, p)/n^1/2 → ∞, Schmidt and Shamir 16 were able to prove that ??_k(n, p) contains a perfect matching with probability 1 ? o(1). Frieze and Janson 8 showed that a weaker condition d(n, p)/n^1/3 → ∞ was enough. In this paper, we further weaken the condition to A condition for a similar problem about a perfect triangle packing of G(n, p) is also obtained. A perfect triangle packing of a graph is a collection of vertex disjoint triangles whose union is the entire vertex set. Improving a condition p ≥ cn^?2/3+1/15 of Krivelevich 12 , it is shown that if 3|n and p ? n^?2/3+1/18, then © 2003 Wiley Periodicals, Inc. Random Struct. Alg., 23: 111–132, 2003     

Bounded branching process and and/or tree evaluation

We study the tail distribution of supercritical branching processes for which the number of offspring of an element is bounded. Given a supercritical branching process {Z_n} with a bounded offspring distribution, we derive a tight bound, decaying super-exponentially fast as c increases, on the probability Pr[Z_n > cE(Z_n)], and a similar bound on the probability Pr[Z_n ≤ E(Z_n)/c] under the assumption that each element generates at least two offspring. As an application, we observe that the execution of a canonical algorithm for evaluating uniform AND/OR trees in certain probabilistic models can be viewed as a two-type supercritical branching process with bounded offspring, and show that the execution time of this algorithm is likely to concentrate around its expectation, with a standard deviation of the same order as the expectation.     

The ζ(2) limit in the random assignment problem

The random assignment (or bipartite matching) problem asks about A_n=min_π ∑c(i, π(i)), where (c(i, j)) is a n×n matrix with i.i.d. entries, say with exponential(1) distribution, and the minimum is over permutations π. Mézard and Parisi (1987) used the replica method from statistical physics to argue nonrigorously that EA_n→ζ(2)=π²/6. Aldous (1992) identified the limit in terms of a matching problem on a limit infinite tree. Here we construct the optimal matching on the infinite tree. This yields a rigorous proof of the ζ(2) limit and of the conjectured limit distribution of edge‐costs and their rank‐orders in the optimal matching. It also yields the asymptotic essential uniqueness property: every almost‐optimal matching coincides with the optimal matching except on a small proportion of edges. ©2001 John Wiley & Sons, Inc. Random Struct. Alg., 18: 381–418, 2001     

Law of large numbers for increasing subsequences of random permutations

Let the random variable Z_n,k denote the number of increasing subsequences of length k in a random permutation from S_n, the symmetric group of permutations of {1,…,n}. We show that Var(Z) = o((EZ)²) as n → ∞ if and only if . In particular then, the weak law of large numbers holds for Z if ; that is, We also show the following approximation result for the uniform measure U_n on S_n. Define the probability measure μ on S_n by where U denotes the uniform measure on the subset of permutations that contain the increasing subsequence {x₁,x₂,…,x}. Then the weak law of large numbers holds for Z if and only if where ∣∣˙∣∣ denotes the total variation norm. In particular then, (*) holds if . In order to evaluate the asymptotic behavior of the second moment, we need to analyze occupation times of certain conditioned two‐dimensional random walks. © 2005 Wiley Periodicals, Inc. Random Struct. Alg., 2006     

On the number of cycles of given length of a free word in several random permutations

Let w ≠ 1 be a free word in the symbols g₁,…, g_k and their inverses (i.e., an element of the free group F_k). For any s₁,…, s_k, in the group s_n of all permutation of n objects, we denote by w(s₁,…,s_k) ? S_n the permutation obtained by replacing g₁,…, g_k with s₁,…, s_k in the expression of w. Let X (s₁,…, s_k) denote the number of cycles of length L of w(s₁,…, s_k). For fixed w and L, we show that X, viewed as a random variable on S_n^k, has (for n →∞) a Poisson-type limit distribution, which can be computed precisely. © 1994 John Wiley & Sons, Inc.     

On random points in the unit disk

Let n be a positive integer and λ > 0 a real number. Let V_n be a set of n points in the unit disk selected uniformly and independently at random. Define G(λ, n) to be the graph with vertex set V_n, in which two vertices are adjacent if and only if their Euclidean distance is at most λ. We call this graph a unit disk random graph. Let and let X be the number of isolated points in G(λ, n). We prove that almost always X ～ n when 0 ≤ c < 1. It is known that if where ?(n) → ∞, then G(λ, n) is connected. By extending a method of Penrose, we show that under the same condition on λ, there exists a constant K such that the diameter of G(λ, n) is bounded above by K · 2/λ. Furthermore, with a new geometric construction, we show that when and c > 2.26164 …, the diameter of G(λ, n) is bounded by (4 + o(1))/λ; and we modify this construction to yield a function c(δ) > 0 such that the diameter is at most 2(1 + δ + o(1))/λ when c > c(δ). © 2005 Wiley Periodicals, Inc. Random Struct. Alg., 2006     

Stability for large forbidden subgraphs

In this note we strengthen the stability theorem of Erd?s and Simonovits. Write K_r(s₁, …, s_r) for the complete r‐partite graph with classes of sizes s₁, …, s_r and T_r(n) for the r‐partite Turán graph of order n. Our main result is: For all r≥2 and all sufficiently small c>0, ε>0, every graph G of sufficiently large order n with e(G)>(1?1/r?ε)n²/2 satisfies one of the conditions:

• (a) G contains a $K_{r+1} (\lfloor c\,\mbox{ln}\,n \rfloor,\ldots,\lfloor c\,\mbox{ln}\,n \rfloor,\lceil n^{{1}-\sqrt{c}}\rceil)In this note we strengthen the stability theorem of Erd?s and Simonovits. Write K_r(s₁, …, s_r) for the complete r‐partite graph with classes of sizes s₁, …, s_r and T_r(n) for the r‐partite Turán graph of order n. Our main result is: For all r≥2 and all sufficiently small c>0, ε>0, every graph G of sufficiently large order n with e(G)>(1?1/r?ε)n²/2 satisfies one of the conditions:
  • (a) G contains a $K_{r+1} (\lfloor c\,\mbox{ln}\,n \rfloor,\ldots,\lfloor c\,\mbox{ln}\,n \rfloor,\lceil n^{{1}-\sqrt{c}}\rceil)$;
  • (b) G differs from T_r(n) in fewer than (ε^1/3+c^1/(3r+3))n² edges.
  Letting µ(G) be the spectral radius of G, we prove also a spectral stability theorem: For all r≥2 and all sufficiently small c>0, ε>0, every graph G of sufficiently large order n with µ(G)>(1?1/r?ε)n satisfies one of the conditions:
  • (a) G contains a $K_{r+1}(\lfloor c\,\mbox{ln}\,n\rfloor,\ldots,\lfloor c\,\mbox{ln}\,n\rfloor,\lceil n^{1-\sqrt{c}}\rceil)$;
  • (b) G differs from T_r(n) in fewer than (ε^1/4+c^1/(8r+8))n² edges.
  © 2009 Wiley Periodicals, Inc. J Graph Theory 62: 362–368, 2009     

Constructive bounds and exact expectations for the random assignment problem

The random assignment problem is to choose a minimum‐cost perfect matching in a complete n×n bipartite graph, whose edge weights are chosen randomly from some distribution such as the exponential distribution with mean 1. In this case it is known that the expectation does not grow unboundedly with n, but approaches some limiting value c* between 1.51 and 2. The limit is conjectured to be π²/6, while a recent conjecture is that for finite n, the expected cost is ∑ 1/i². This paper contains two principal results. First, by defining and analyzing a constructive algorithm, we show that the limiting expectation is c*<1.94. Second, we extend the finite‐n conjecture to partial assignments on complete m×n bipartite graphs and prove it in some limited cases. ©1999 John Wiley & Sons, Inc. Random Struct. Alg., 15, 113–144, 1999