Research Archive

Luminary Research ArchiveIndependent scholarship

Luminary Portal

Research Article · Preprint Mathematics

A sharp lower bound for adjacent-edge correlations in random subtrees

Scott Schubr

  • Mathematics
  • Combinatorics and Graph Theory
Primary subject
Mathematics
Paper type
Research Article
Manuscript stage
Preprint
Manuscript
Archived
Edition
2 · Permanent link

Overview

Abstract

Choose uniformly a nonempty subtree of the labeled complete graph, including the single-vertex subtrees. We prove that the conditional probability of one edge, given an adjacent edge, exceeds three quarters of its unconditional probability. This establishes the lower-bound conjecture stated by Luo, Xu and Tian in their author manuscript. The proof uses the classical fixed-forest extension counts, Jensen's inequality, and a count of four-vertex trees. The constant is optimal by the asymptotic limit already obtained by Luo, Xu and Tian.

Keywords random subtrees · adjacent-edge correlations · complete graphs · Cayley’s formula · Jensen’s inequality

Scope of the work

For a uniform nonempty subtree of the labelled complete graph and two distinct adjacent edges, the conditional inclusion probability exceeds three quarters of the unconditional one; the constant is asymptotically sharp.

Reproduction notes

The paper has 3 pages. The editable-source archive contains 5 files. Compile manuscript/main.tex. The standard-library verification/independent_check.py reproduces the finite rational and small-graph controls in a fresh output directory.

The manuscript

Read the paper

Open PDF

The complete manuscript, as published in this edition.

If the reader is unavailable on your device, open or download the PDF directly.

A stable scholarly record

Cite this edition

Scott Schubr. (2026). A sharp lower bound for adjacent-edge correlations in random subtrees (Version 2). Luminary Research Archive. https://research.luminaryoddities.com/sharp-lower-bound-adjacent-edge-correlations-random-subtrees/v/2

BibTeX
@techreport{luminary_sharp_lower_bound_adjacent_edge_correlations_random_subtrees_v2,
  title = {A sharp lower bound for adjacent-edge correlations in random subtrees},
  author = {Scott Schubr},
  year = {2026},
  institution = {Luminary Research Archive},
  type = {Research Article},
  note = {Version 2},
  url = {https://research.luminaryoddities.com/sharp-lower-bound-adjacent-edge-correlations-random-subtrees/v/2}
}

Loading discussion…