正则图尝试的大小方差

P. Jacquet, A. Magner
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引用次数: 2

摘要

图尝试是经典数字树的推广:不是从字符串中构建,而是从图G上的标记函数中构建G-trie。在这项工作中,我们确定了在均匀字母分布上建立在无记忆源上的G-trie大小方差的首阶渐近性,其中G是M > 1固定的无限M正则有向无环图的一个成员。特别地,这涵盖了树和网格的情况。我们发现,在这样的尝试中,方差为Θ(nρ')阶,对于某些ρ'取决于G,当G是树时,它是最小的。我们也给出了在G是一个网格,M = 2的情况下ρ'的显式表达式。
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Variance of Size in Regular Graph Tries
Graph tries are a generalization of classical digital trees: instead of being built from strings, a G-trie is built from label functions on the graph G. In this work, we determine leading order asymptotics for the variance of the size of a G-trie built on a memoryless source on a uniform alphabet distribution, where G is a member of a large class of infinite, M-regular directed, acyclic graphs with M > 1 fixed. In particular, this covers the cases of trees and grids. We find that, in such tries, the variance is of order Θ(nρ'), for some ρ' depending on G which is minimized when G is a tree. We also give an explicit expression for ρ' in the case where G is a grid, with M = 2.
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