Extrema of local mean and local density in a tree
Ruoyu Wang

TL;DR
This paper investigates the properties of subtrees in a tree that maximize or minimize local mean and introduces local density as a normalized measure, revealing structural characteristics and bounds related to the core of the tree.
Contribution
It characterizes the structure of k-maximal subtrees for local mean and introduces local density, establishing bounds and properties related to the tree's core.
Findings
A k-maximal subtree has at most one high-degree leaf.
A k-maximal subtree has at least one low-degree leaf.
Local density is bounded below by 1/2, with equality at the core.
Abstract
Given a tree T, one can define the local mean at some subtree S to be the average order of subtrees containing S. It is natural to ask which subtree of order k achieves the maximal/minimal local mean among all the subtrees of the same order and what properties it has. We call such subtrees k-maximal subtrees. Wagner and Wang showed in 2016 that a 1- maximal subtree is a vertex of degree 1 or 2. This paper shows that for any integer k = 1, . . . , |T| , a k-maximal subtree has at most one leaf whose degree is greater than 2 and at least one leaf whose degree is at most 2. Furthermore, we show that a k-maximal subtree has a leaf of degree greater than 2 only when all its other leaves are leaves in T as well. In the second part, this paper introduces the local density as a normalization of local means, for the sake of comparing subtrees of different orders, and shows that the local density…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsGraph theory and applications · Tensor decomposition and applications · Graph Labeling and Dimension Problems
