English

Double Coset Markov Chains

Probability 2022-08-24 v1 Representation Theory

Abstract

Let GG be a finite group. Let H,KH, K be subgroups of GG and H\G/KH \backslash G / K the double coset space. Let QQ be a probability on GG which is constant on conjugacy classes (Q(s1ts)=Q(t)Q(s^{-1} t s) = Q(t)). The random walk driven by QQ on GG projects to a Markov chain on H\G/KH \backslash G /K. This allows analysis of the lumped chain using the representation theory of GG. Examples include coagulation-fragmentation processes and natural Markov chains on contingency tables. Our main example projects the random transvections walk on GLn(q)GL_n(q) onto a Markov chain on SnS_n via the Bruhat decomposition. The chain on SnS_n has a Mallows stationary distribution and interesting mixing time behavior. The projection illuminates the combinatorics of Gaussian elimination. Along the way, we give a representation of the sum of transvections in the Hecke algebra of double cosets. Some extensions and examples of double coset Markov chains with GG a compact group are discussed.

Keywords

Cite

@article{arxiv.2208.10699,
  title  = {Double Coset Markov Chains},
  author = {Persi Diaconis and Arun Ram and Mackenzie Simper},
  journal= {arXiv preprint arXiv:2208.10699},
  year   = {2022}
}

Comments

working draft, comments welcome!

R2 v1 2026-06-25T01:53:30.192Z