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Electronic Journal of Combinatorics
Article . 2026 . Peer-reviewed
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https://dx.doi.org/10.48550/ar...
Article . 2023
License: arXiv Non-Exclusive Distribution
Data sources: Datacite
DBLP
Article . 2026
Data sources: DBLP
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Extrema of Local Mean and Local Density in a Tree

Authors: Ruoyu, Wang;

Extrema of Local Mean and Local Density in a Tree

Abstract

Given a tree $T$ and a subtree $S$ of $T,$ one can define the local mean at $S,$ $\mu_{T}\left(S\right),$ to be the average order of the subtrees of $T$ containing $S.$ In 1983, Jamison showed that $\mu_{T}\left(S\right)<\mu_{T}(S^{'})$ if $S\subset S^{'}$ as subtrees of $T.$ Therefore, it is natural to ask the following question. Among all the $k$-subtrees (subtrees of order $k$), which one achieves the maximal/minimal local mean and what properties does it have? We call such $k$-subtrees $k$-maximal/$k$-minimal. Wagner and H. Wang showed in 2016 that a 1-maximal subtree has degree 1 or 2. In this paper, we show that if $T$ is not a path, a 1-minimal subtree of $T$ has degree at least 3. For $k\geq2,$ we show that a $k$-maximal subtree has at most one leaf whose degree in $T$ is greater than 2, and that such a leaf can only occur when all other leaves in $S$ are also leaves in $T.$ Parallel results hold for $k$-minimal subtrees. Roughly speaking, the leaves of a $k$-maximal subtree tend to have degree 1 or 2 in $T,$ while the leaves of a $k$-minimal subtree tend to have degree at least 3 in $T.$ 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. We show that the local density at subtree $S$ is lower-bounded by $1/2$ with equality if and only if $S$ contains all the vertices of degree at least 3 in $T.$ On the other hand, local density can be arbitrarily close to 1.

Country
Sweden
Keywords

Discrete Mathematics, FOS: Mathematics, Mathematics - Combinatorics, Combinatorics (math.CO), Diskret matematik

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
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