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2001 Mixing Times for Markov Chains on Wreath Products and Related Homogeneous Spaces
James Fill, Clyde Schoolfield, Jr.
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Electron. J. Probab. 6: 1-22 (2001). DOI: 10.1214/EJP.v6-84

Abstract

We develop a method for analyzing the mixing times for a quite general class of Markov chains on the complete monomial group $G \wr S_n$ and a quite general class of Markov chains on the homogeneous space $(G\wr S_n) / (S_r\times S_{n-r})$. We derive an exact formula for the $L^2$ distance in terms of the $L^2$ distances to uniformity for closely related random walks on the symmetric groups $S_j$ for $1 \leq j \leq n$ or for closely related Markov chains on the homogeneous spaces $S_{i+j}/ (S_i~\times~S_j)$ for various values of $i$ and $j$, respectively. Our results are consistent with those previously known, but our method is considerably simpler and more general.

Citation

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James Fill. Clyde Schoolfield, Jr.. "Mixing Times for Markov Chains on Wreath Products and Related Homogeneous Spaces." Electron. J. Probab. 6 1 - 22, 2001. https://doi.org/10.1214/EJP.v6-84

Information

Accepted: 23 April 2001; Published: 2001
First available in Project Euclid: 19 April 2016

zbMATH: 0976.60069
MathSciNet: MR1831806
Digital Object Identifier: 10.1214/EJP.v6-84

Subjects:
Primary: 60B10 , 60J10
Secondary: 20E22

Keywords: Bernoulli-Laplace diffusion , complete monomial group , homogeneous space , hyperoctahedral group , Markov chain , mixing time , Möbius inversion , Random walk , rate of convergence to stationarity , wreath product

Vol.6 • 2001
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