Abstract
Given kand nconsidera graph with k vertices and n “blue” edges. We assume that the set of “blue”edges \({{a}_{n}} = \sum\limits_{{m = 0}}^{{n - 1}} {\underbrace{{{{{\left( q \right)}}_{{n - 1}}}\sum\limits_{{h = 0}}^{\infty } {p\left( {h,m} \right){{q}^{h}}.} }}_{{\mathop{ = }\limits^{{def}} {{H}_{{n,m}}}\left( q \right)}}} \) Is uniformly distributed among n-subsets of \( N = \left( {\tfrac{k}{2}} \right) \) Pairs of vertices.Given a graph g, the number Ngof blue copies of g os a U-statistic based on random sample \( \mathcal{N}_G as k,n \to \infty . \) normality.
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Bloznelis, M. (2004). On Combinatorial Hoeffding Decomposition and Asymptotic Normality of Subgraph Count Statistics. In: Drmota, M., Flajolet, P., Gardy, D., Gittenberger, B. (eds) Mathematics and Computer Science III. Trends in Mathematics. Birkhäuser, Basel. https://doi.org/10.1007/978-3-0348-7915-6_9
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