Double Coset Markov Chains

Abstract

Let G be a finite group. Let H, K be subgroups of G and H G / K the double coset space. Let Q be a probability on G which is constant on conjugacy classes (Q(s-1 t s) = Q(t)). The random walk driven by Q on G projects to a Markov chain on H G /K. This allows analysis of the lumped chain using the representation theory of G. Examples include coagulation-fragmentation processes and natural Markov chains on contingency tables. Our main example projects the random transvections walk on GLn(q) onto a Markov chain on Sn via the Bruhat decomposition. The chain on Sn 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 G a compact group are discussed.

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