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A power law of order 1/4 for critical mean field Swendsen-Wang dynamics /

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...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autores principales: Long, Yun, 1982- (Autor), Nachmias, Asaf (Autor), Ning, Weiyang (Autor), Peres, Y. (Yuval) (Autor)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Providence, Rhode Island : American Mathematical Society, 2014.
Colección:Memoirs of the American Mathematical Society ; no. 1092.
Temas:
Acceso en línea:Texto completo

MARC

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100 1 |a Long, Yun,  |d 1982-  |e author.  |1 https://id.oclc.org/worldcat/entity/E39PCjxkdDX8B3Q3b7ChBBbHP3 
245 1 2 |a A power law of order 1/4 for critical mean field Swendsen-Wang dynamics /  |c Yun Long, Asaf Nachmias, Weiyang Ning, Yuval Peres. 
264 1 |a Providence, Rhode Island :  |b American Mathematical Society,  |c 2014. 
300 |a 1 online resource (v, 84 pages) 
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490 1 |a Memoirs of the American Mathematical Society,  |x 0065-9266 ;  |v volume 232, number 1092 
500 |a "Volume 232, Number 1092 (fourth of 6 numbers), November 2014." 
504 |a Includes bibliographical references (pages 83-84). 
588 0 |a Print version record. 
505 0 0 |t Chapter 1. Introduction  |t Chapter 2. Statement of the results  |t Chapter 3. Mixing time preliminaries  |t Chapter 4. Outline of the proof of Theorem 2.1  |t Chapter 5. Random graph estimates  |t Chapter 6. Supercritical case  |t Chapter 7. Subcritical case  |t Chapter 8. Critical Case  |t Chapter 9. Fast mixing of the Swendsen-Wang process on trees  |t Acknowledgements. 
520 |a 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. 
546 |a English. 
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650 0 |a Markov processes. 
650 0 |a Spin waves  |x Mathematical models. 
650 6 |a Processus de Markov. 
650 6 |a Ondes de spin  |x Modèles mathématiques. 
650 7 |a Markov processes  |2 fast 
650 7 |a Spin waves  |x Mathematical models  |2 fast 
700 1 |a Nachmias, Asaf,  |e author. 
700 1 |a Ning, Weiyang,  |e author. 
700 1 |a Peres, Y.  |q (Yuval),  |e author.  |1 https://id.oclc.org/worldcat/entity/E39PBJpJgMjPTVxKJ7rGg3yfMP 
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776 0 8 |i Print version:  |t Power law of order 1/4 for critical mean field Swendsen-Wang dynamics.  |d Providence, Rhode Island : American Mathematical Society, 2014  |z 9781470409104  |w (DLC) 2014024667  |w (OCoLC)881824279 
830 0 |a Memoirs of the American Mathematical Society ;  |v no. 1092. 
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