记录偏向树的高度

Pub Date : 2021-12-10 DOI:10.1002/rsa.21110
Benoît Corsini
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引用次数: 1

摘要

给定一个排列σ $$ \sigma $$,将值σ(1),…,σ(n) $$ \sigma (1),\dots, \sigma (n) $$递归插入到二叉树中,使每个节点的标签大于其左子树的标签,小于其右子树的标签,得到其对应的二叉搜索树。在本文中,我们研究从排列的记录偏置模型中绘制的二叉搜索树的高度,该模型在排列集合上的概率度量与θrecord(σ) $$ {\theta}^{\mathrm{record}\left(\sigma \right)} $$成正比,其中record(σ)=|{i∈[n]:∀jσ(j)}| $$ \mathrm{record}\left(\sigma \right)=\mid \left\{i\in \left[n\right]:\forall j\sigma (j)\right\}\mid $$。我们证明了由大小为n $$ n $$且参数为θ $$ \theta $$的记录偏置排列建立的二叉搜索树的高度为(1+o (1)){maxc∗logn,θlog(1+n/θ)}$$ \left(1+{o}_{\mathbb{P}}(1)\right)\max \left\{{c}^{\ast}\log n,\kern0.3em \theta \log \left(1+n/\theta \right)\right\} $$阶,从而扩展了Devroye关于高度或随机二叉搜索树的先前结果。
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The height of record‐biased trees
Given a permutation σ$$ \sigma $$ , its corresponding binary search tree is obtained by recursively inserting the values σ(1),…,σ(n)$$ \sigma (1),\dots, \sigma (n) $$ into a binary tree so that the label of each node is larger than the labels of its left subtree and smaller than the labels of its right subtree. In this article, we study the height of binary search trees drawn from the record‐biased model of permutations whose probability measure on the set of permutations is proportional to θrecord(σ)$$ {\theta}^{\mathrm{record}\left(\sigma \right)} $$ , where record(σ)=|{i∈[n]:∀jσ(j)}|$$ \mathrm{record}\left(\sigma \right)=\mid \left\{i\in \left[n\right]:\forall j\sigma (j)\right\}\mid $$ . We show that the height of a binary search tree built from a record‐biased permutation of size n$$ n $$ with parameter θ$$ \theta $$ is of order (1+oℙ(1))max{c∗logn,θlog(1+n/θ)}$$ \left(1+{o}_{\mathbb{P}}(1)\right)\max \left\{{c}^{\ast}\log n,\kern0.3em \theta \log \left(1+n/\theta \right)\right\} $$ , hence extending previous results of Devroye on the height or random binary search trees.
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