Tree/Endofunction Bijections and Concentration Inequalities

preprint2020arXivOpen access

Abstract

We demonstrate a method for proving precise concentration inequalities in uniformly random trees on nn vertices, where n≥1n\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.

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