11,500 research outputs found

    More on Rainbow Cliques in Edge-Colored Graphs

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    In an edge-colored graph GG, a rainbow clique KkK_k is a kk-complete subgraph in which all the edges have distinct colors. Let e(G)e(G) and c(G)c(G) be the number of edges and colors in GG, respectively. In this paper, we show that for any ε>0\varepsilon>0, if e(G)+c(G)≥(1+k−3k−2+2ε)(n2)e(G)+c(G) \geq (1+\frac{k-3}{k-2}+2\varepsilon) {n\choose 2} and k≥3k\geq 3, then for sufficiently large nn, the number of rainbow cliques KkK_k in GG is Ω(nk)\Omega(n^k). We also characterize the extremal graphs GG without a rainbow clique KkK_k, for k=4,5k=4,5, when e(G)+c(G)e(G)+c(G) is maximum. Our results not only address existing questions but also complete the findings of Ehard and Mohr (Ehard and Mohr, Rainbow triangles and cliques in edge-colored graphs. {\it European Journal of Combinatorics, 84:103037,2020}).Comment: 16page

    Note on vertex disjoint rainbow triangles in edge-colored graphs

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    Given an edge-colored graph GG, we denote the number of colors as c(G)c(G), and the number of edges as e(G)e(G). An edge-colored graph is rainbow if no two edges share the same color. A proper mK3mK_3 is a vertex disjoint union of mm rainbow triangles. Rainbow problems have been studied extensively in the context of anti-Ramsey theory, and more recently, in the context of Tur\'{a}n problems. B. Li. et al. \textit{European J. Combin. 36 (2014)} found that a graph must contain a rainbow triangle if e(G)+c(G)≥(n2)+ne(G)+c(G) \geq \binom{n}{2}+ n. L. Li. and X. Li. \textit{Discrete Applied Mathematics 318 (2022)} conjectured a lower bound on e(G)+c(G)e(G)+c(G) such that GG must contain a proper mK3mK_3. In this paper, we provide a construction that disproves the conjecture. We also introduce a result that guarantees the existence of mm vertex disjoint rainbow KkK_k subgraphs in general host graphs, and a sharp result on the existence of proper mK3mK_3 in complete graphs

    On small Mixed Pattern Ramsey numbers

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    We call the minimum order of any complete graph so that for any coloring of the edges by kk colors it is impossible to avoid a monochromatic or rainbow triangle, a Mixed Ramsey number. For any graph HH with edges colored from the above set of kk colors, if we consider the condition of excluding HH in the above definition, we produce a \emph{Mixed Pattern Ramsey number}, denoted Mk(H)M_k(H). We determine this function in terms of kk for all colored 44-cycles and all colored 44-cliques. We also find bounds for Mk(H)M_k(H) when HH is a monochromatic odd cycles, or a star for sufficiently large kk. We state several open questions.Comment: 16 page

    Using Ramsey theory to measure unavoidable spurious correlations in Big Data

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    Given a dataset we quantify how many patterns must always exist in the dataset. Formally this is done through the lens of Ramsey theory of graphs, and a quantitative bound known as Goodman's theorem. Combining statistical tools with Ramsey theory of graphs gives a nuanced understanding of how far away a dataset is from random, and what qualifies as a meaningful pattern. This method is applied to a dataset of repeated voters in the 1984 US congress, to quantify how homogeneous a subset of congressional voters is. We also measure how transitive a subset of voters is. Statistical Ramsey theory is also used with global economic trading data to provide evidence that global markets are quite transitive.Comment: 21 page
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