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Expected Lengths of Minimum Spanning Trees for Non-identical Edge Distributions

机译:不同边缘分布的最小生成树的预期长度

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An exact general formula for the expected length of the minimal spanning tree (MST) of a connected (possibly with loops and multiple edges) graph whose edges are assigned lengths according to independent (not necessarily identical) distributed random variables is developed in terms of the multivariate Tutte polynomial (alias Potts model). Our work was inspired by Steele's formula based on two-variable Tutte polynomial under the model of uniformly identically distributed edge lengths. Applications to wheel graphs and cylinder graphs are given under two types of edge distributions.
机译:针对连接图(可能具有回路和多个边)的图的最小生成树(MST)的预期长度的精确通用公式是根据以下公式得出的:其边根据独立(不一定相同)的分布随机变量分配了长度多元Tutte多项式(别名Potts模型)。我们的工作受到了斯蒂尔基于两变量Tutte多项式的公式的启发,该公式基于均匀分布的边长的模型。轮缘图和圆柱图的应用在两种类型的边缘分布下给出。

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