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Anticoncentration of random spanning trees in graphs with large minimum degree

Combinatorics 2026-03-19 v1 Probability

Abstract

A classical result by Otter shows that the complete graph has an exponential number of non-isomorphic spanning trees. This was recently extended by Lee to every almost regular graph of sufficiently large degree. In this paper, we consider graphs of large minimum degree. We show that every connected graph GG with nn vertices and minimum degree dd has at least nΩ(d)n^{\Omega(d)} non-isomorphic spanning trees. This is tight up to the constant factor in the exponent. In fact, we prove the following anticoncentration result: if T\mathcal{T} is a uniformly random spanning tree of GG, then for every tree TT, the probability that T\mathcal{T} is isomorphic to TT is at most nΩ(d)n^{-\Omega(d)}. This proves a conjecture of Lee in a strong form.

Keywords

Cite

@article{arxiv.2603.17630,
  title  = {Anticoncentration of random spanning trees in graphs with large minimum degree},
  author = {Veronica Bitonti and Lukas Michel and Alex Scott},
  journal= {arXiv preprint arXiv:2603.17630},
  year   = {2026}
}

Comments

16 pages

R2 v1 2026-07-01T11:26:00.619Z