English

Tree/Endofunction Bijections and Concentration Inequalities

Probability 2020-06-15 v1 Combinatorics

Abstract

We demonstrate a method for proving precise concentration inequalities in uniformly random trees on nn vertices, where n1n\geq1 is a fixed positive integer. The method uses a bijection between mappings f ⁣:{1,,n}{1,,n}f\colon\{1,\ldots,n\}\to\{1,\ldots,n\} and doubly rooted trees on nn vertices. The main application is a concentration inequality for the number of vertices connected to an independent set in a uniformly random tree, which is then used to prove partial unimodality of its independent set sequence. So, we give probabilistic arguments for inequalities that often use combinatorial arguments.

Keywords

Cite

@article{arxiv.2006.06724,
  title  = {Tree/Endofunction Bijections and Concentration Inequalities},
  author = {Steven Heilman},
  journal= {arXiv preprint arXiv:2006.06724},
  year   = {2020}
}

Comments

15 pages, 3 figures

R2 v1 2026-06-23T16:15:06.338Z