English

Mixing times of a Burnside process Markov chain on set partitions

Probability 2026-01-23 v3 Combinatorics

Abstract

Let XX be a finite set and let GG be a finite group acting on XX. The group action splits XX into disjoint orbits. The Burnside process is a Markov chain on XX which has a uniform stationary distribution when the chain is lumped to orbits. We consider the case where X=[k]nX = [k]^n with knk \geq n and G=SkG = S_k is the symmetric group on [k][k], such that GG acts on XX by permuting the value of each coordinate. The resulting Burnside process gives a novel algorithm for sampling a set partition of [n][n] uniformly at random. We obtain bounds on the mixing time and show that the chain is rapidly mixing. For the case k<nk < n, the algorithm corresponds to sampling a set partition of [n][n] with at most kk blocks, and we obtain a mixing time bound which is independent of nn. Along the way, we obtain explicit formulas for the transition probabilities and bounds on the second largest eigenvalue for both the original process and the lumped chain.

Keywords

Cite

@article{arxiv.2207.14269,
  title  = {Mixing times of a Burnside process Markov chain on set partitions},
  author = {J. E. Paguyo},
  journal= {arXiv preprint arXiv:2207.14269},
  year   = {2026}
}

Comments

15 pages. Final version, to appear in Advances in Applied Mathematics