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A power law of order 1/4 for critical mean field Swendsen-Wang dynamics / Yun Long [and three others].

Ebook Central Academic Complete Available online

Ebook Central Academic Complete
Format:
Book
Author/Creator:
Long, Yun, 1982- author.
Series:
Memoirs of the American Mathematical Society ; 0065-9266. Volume 232, Number 1092.
Memoirs of the American Mathematical Society ; Volume 232, Number 1092
Language:
English
Subjects (All):
Markov processes.
Spin waves--Mathematical models.
Physical Description:
1 online resource (v, 84 pages).
Edition:
1st ed.
Place of Publication:
Providence, Rhode Island : American Mathematical Society, [2014]
Language Note:
English
Summary:
The Swendsen-Wang dynamics is a Markov chain widely used by physicists to sample from the Boltzmann-Gibbs distribution of the Ising model. Cooper, Dyer, Frieze and Rue proved that on the complete graph K_n the mixing time of the chain is at most O(\sqrt{n}) for all non-critical temperatures. In this paper the authors show that the mixing time is \Theta(1) in high temperatures, \Theta(\log n) in low temperatures and \Theta(n^{1/4}) at criticality. They also provide an upper bound of O(\log n) for Swendsen-Wang dynamics for the q-state ferromagnetic Potts model on any tree of n vertices.
Contents:
Cover
Title page
Chapter 1. Introduction
Chapter 2. Statement of the results
2.1. Random graph estimates
Chapter 3. Mixing time preliminaries
Chapter 4. Outline of the proof of Theorem 2.1
4.1. Outline of the Proof of Theorem 2.1 (i)
4.2. Outline of the Proof of Theorem 2.1 (iii)
4.3. Outline of the Proof of Theorem 2.1 (ii)
Chapter 5. Random graph estimates
5.1. The exploration process
5.2. Random graph lemmas for non-critical cases
5.3. Random graph lemmas for the near-critical case
Chapter 6. Supercritical case
Chapter 7. Subcritical case
Chapter 8. Critical Case
8.1. Starting at the [ ^{3/4}, ] regime: Proof of Theorem 8.1
8.2. Starting at the [0, ^{3/4}] regime: Proof of Theorem 8.2
8.3. The lower bound on the mixing time
Chapter 9. Fast mixing of the Swendsen-Wang process on trees
Acknowledgements
Bibliography
Back Cover.
Notes:
"Volume 232, number 1092 (fourth of 6 numbers), November 2014."
Includes bibliographical references.
Description based on print version record.
ISBN:
1-4704-1895-9

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