Publication:

A tale of three couplings: Poisson-Dirichlet and GEM approximations for random permutations

Date

Date

Date
2006
Journal Article
Published version

Citations

Citation copied

Arratia, R., Barbour, A. D., & Tavaré, S. (2006). A tale of three couplings: Poisson-Dirichlet and GEM approximations for random permutations. Combinatorics, Probability & Computing, 15(1–2), 31–62. https://doi.org/10.1017/S0963548305007054

Abstract

Abstract

Abstract

For a random permutation of $n$ objects, as $n \to \infty$, the process giving the proportion of elements in the longest cycle, the second-longest cycle, and so on, converges in distribution to the Poisson–Dirichlet process with parameter 1. This was proved in 1977 by Kingman and by Vershik and Schmidt. For soft reasons, this is equivalent to the statement that the random permutations and the Poisson–Dirichlet process can be coupled so that zero is the limit of the expected $\ell_1$ distance between the process of cycle length proport

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Creators (Authors)

  • Arratia, R
    affiliation.icon.alt
  • Barbour, A D
    affiliation.icon.alt
  • Tavaré, S
    affiliation.icon.alt

Journal/Series Title

Journal/Series Title

Journal/Series Title

Volume

Volume

Volume
15

Number

Number

Number
1-2

Page range/Item number

Page range/Item number

Page range/Item number
31

Page end

Page end

Page end
62

Item Type

Item Type

Item Type
Journal Article

Dewey Decimal Classifikation

Dewey Decimal Classifikation

Dewey Decimal Classifikation

Language

Language

Language
English

Publication date

Publication date

Publication date
2006

Date available

Date available

Date available
2010-01-05

Publisher

Publisher

Publisher

ISSN or e-ISSN

ISSN or e-ISSN

ISSN or e-ISSN
0963-5483

Additional Information

Additional Information

Additional Information
Copyright © 2006 Cambridge University Press

OA Status

OA Status

OA Status
Green

Citations

Citation copied

Arratia, R., Barbour, A. D., & Tavaré, S. (2006). A tale of three couplings: Poisson-Dirichlet and GEM approximations for random permutations. Combinatorics, Probability & Computing, 15(1–2), 31–62. https://doi.org/10.1017/S0963548305007054

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