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Subtree Counts and the Maximum Mean Subtree Order

Abstract

For a finite simple graph G of positive order, let sk(G) be the number of its k-vertex tree subgraphs. We prove that, among graphs of a fixed order n, the ratios sk(G)/sk(Kn) form a nonincreasing sequence in k. It follows that the complete graph maximizes the mean subtree order: μ(G)≤μ(Kn), with equality if and only if G is complete. This monotonicity theorem also establishes the sn−1-to-sn ratio conjecture posed in recent work on extremal mean subtree order. The proof lifts a known coupling of rooted Cayley-tree shapes of consecutive orders to uniform labeled tree subgraphs of Kn that are nested at every sample point. Event inclusion gives the count inequalities, and a double-sum identity gives the mean bound.

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BibTeX
@misc{chen2026subtree,
  title = {{Subtree Counts and the Maximum Mean Subtree Order}},
  author = {Jungang Chen and Xian'an Jin and Zhuo Li and Hongxia Ma},
  howpublished = {arXiv},
  year = {2026},
  month = sep,
  doi = {10.48550/arxiv.2609.14355},
  eprint = {2609.14355},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2609.14355},
}
RIS
TY  - UNPB
TI  - Subtree Counts and the Maximum Mean Subtree Order
AU  - Jungang Chen
AU  - Xian'an Jin
AU  - Zhuo Li
AU  - Hongxia Ma
PY  - 2026
DA  - 2026/09/13
PB  - arXiv
DO  - 10.48550/arxiv.2609.14355
UR  - https://arxiv.org/abs/2609.14355
AB  - For a finite simple graph G of positive order, let s_k(G) be the number of its k-vertex tree subgraphs. We prove that, among graphs of a fixed order n, the ratios s_k(G)/s_k(K_n) form a nonincreasing sequence in k. It follows that the complete graph maximizes the mean subtree order: μ(G)≤μ(K_n), with equality if and only if G is complete. This monotonicity theorem also establishes the s_n−1-to-s_n ratio conjecture posed in recent work on extremal mean subtree order. The proof lifts a known coupling of rooted Cayley-tree shapes of consecutive orders to uniform labeled tree subgraphs of K_n that are nested at every sample point. Event inclusion gives the count inequalities, and a double-sum identity gives the mean bound.
ER  -