1,848 research outputs found

    A limit law of almost ll-partite graphs

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    For integers l≥2l \geq 2, d≥1d \geq 1 we study (undirected) graphs with vertices 1,...,n1, ..., n such that the vertices can be partitioned into ll parts such that every vertex has at most dd neighbours in its own part. The set of all such graphs is denoted \mbP_n(l,d). We prove a labelled first-order limit law, i.e., for every first-order sentence φ\varphi, the proportion of graphs in \mbP_n(l,d) that satisfy φ\varphi converges as n→∞n \to \infty. By combining this result with a result of Hundack, Pr\"omel and Steger \cite{HPS} we also prove that if 1≤s1≤...≤sl1 \leq s_1 \leq ... \leq s_l are integers, then \mb{Forb}(\mcK_{1, s_1, ..., s_l}) has a labelled first-order limit law, where \mb{Forb}(\mcK_{1, s_1, ..., s_l}) denotes the set of all graphs with vertices 1,...,n1, ..., n, for some nn, in which there is no subgraph isomorphic to the complete (l+1)(l+1)-partite graph with parts of sizes 1,s1,...,sl1, s_1, ..., s_l. In the course of doing this we also prove that there exists a first-order formula ξ\xi (depending only on ll and dd) such that the proportion of \mcG \in \mbP_n(l,d) with the following property approaches 1 as n→∞n \to \infty: there is a unique partition of {1,...,n}\{1, ..., n\} into ll parts such that every vertex has at most dd neighbours in its own part, and this partition, viewed as an equivalence relation, is defined by ξ\xi

    Beyond graph energy: norms of graphs and matrices

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    In 1978 Gutman introduced the energy of a graph as the sum of the absolute values of graph eigenvalues, and ever since then graph energy has been intensively studied. Since graph energy is the trace norm of the adjacency matrix, matrix norms provide a natural background for its study. Thus, this paper surveys research on matrix norms that aims to expand and advance the study of graph energy. The focus is exclusively on the Ky Fan and the Schatten norms, both generalizing and enriching the trace norm. As it turns out, the study of extremal properties of these norms leads to numerous analytic problems with deep roots in combinatorics. The survey brings to the fore the exceptional role of Hadamard matrices, conference matrices, and conference graphs in matrix norms. In addition, a vast new matrix class is studied, a relaxation of symmetric Hadamard matrices. The survey presents solutions to just a fraction of a larger body of similar problems bonding analysis to combinatorics. Thus, open problems and questions are raised to outline topics for further investigation.Comment: 54 pages. V2 fixes many typos, and gives some new materia

    Collision Times in Multicolor Urn Models and Sequential Graph Coloring With Applications to Discrete Logarithms

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    Consider an urn model where at each step one of qq colors is sampled according to some probability distribution and a ball of that color is placed in an urn. The distribution of assigning balls to urns may depend on the color of the ball. Collisions occur when a ball is placed in an urn which already contains a ball of different color. Equivalently, this can be viewed as sequentially coloring a complete qq-partite graph wherein a collision corresponds to the appearance of a monochromatic edge. Using a Poisson embedding technique, the limiting distribution of the first collision time is determined and the possible limits are explicitly described. Joint distribution of successive collision times and multi-fold collision times are also derived. The results can be used to obtain the limiting distributions of running times in various birthday problem based algorithms for solving the discrete logarithm problem, generalizing previous results which only consider expected running times. Asymptotic distributions of the time of appearance of a monochromatic edge are also obtained for other graphs.Comment: Minor revision. 35 pages, 2 figures. To appear in Annals of Applied Probabilit
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