A comparison of updating algorithms for large N reduced models
Entidad
UAM. Departamento de Física TeóricaEditor
Springer Verlag; SISSAFecha de edición
2015-06-29Cita
10.1007/JHEP06(2015)193
Journal of High Energy Physics 2015.6 (2015): 193
ISSN
1029-8479 (online); 1126-6708 (print)DOI
10.1007/JHEP06(2015)193Financiado por
We acknowledge financial support from the MCINN grants FPA2012-31686 and FPA2012-31880, and the Spanish MINECO’s “Centro de Excelencia Severo Ochoa” Programme under grant SEV-2012-0249. M.O. is supported by the Japanese MEXT grant No. 26400249 and the MEXT program for promoting the enhancement of research universitiesProyecto
Gobierno de España. FPA2012-31686; Gobierno de España. FPA2012-31880; Gobierno de España. SEV-2012-0249Versión del editor
http://dx.doi.org/10.1007/JHEP06(2015)193Materias
Matrix Models; Wilson; ’t Hooft and Polyakov loops; Lattice Gauge Field Theories; 1/N Expansion; FísicaNota
Journal of High Energy Physics 2015.6 (2015): 193 reproduced by permission of Scuola Internazionale Superiore di Studi Avanzati (SISSA)Derechos
© 2015, The Author(s)Resumen
We investigate Monte Carlo updating algorithms for simulating SU(N) YangMills fields on a single-site lattice, such as for the Twisted Eguchi-Kawai model (TEK). We show that performing only over-relaxation (OR) updates of the gauge links is a valid simulation algorithm for the Fabricius and Haan formulation of this model, and that this decorrelates observables faster than using heat-bath updates. We consider two different methods of implementing the OR update: either updating the whole SU(N) matrix at once, or iterating through SU(2) subgroups of the SU(N) matrix, we find the same critical exponent in both cases, and only a slight difference between the two
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Google Scholar:García Pérez, Margarita
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González-Arroyo España, Antonio
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Keegan, Liam
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Okawa, Masanori
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Ramos, Alberto
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