Statistical Physics Approach to M-theory Integrals

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dc.creatorKrauth, Werner
dc.creatorStaudacher, Matthias
dc.date2000-10-09
dc.date.accessioned2026-07-07T02:38:57Z
dc.date.available2026-07-07T02:38:57Z
dc.descriptionWe explain the concepts of computational statistical physics which have proven very helpful in the study of Yang-Mills integrals, an ubiquitous new class of matrix models. Issues treated are: Absolute convergence versus Monte Carlo computability of near-singular integrals, singularity detection by Markov-chain methods, applications to asymptotic eigenvalue distributions and to numerical evaluations of multiple bosonic and supersymmetric integrals. In many cases already, it has been possible to resolve controversies between conflicting analytical results using the methods presented here.
dc.description6 pages, talk presented by WK at conference 'Non- perturbative Quantum Effects 2000', Paris, Sept 2000
dc.identifierhttps://arxiv.org/abs/cond-mat/0010127
dc.identifierhttp://arxiv.org/abs/cond-mat/0010127
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/16875
dc.subjectStatistical Mechanics
dc.subjectHigh Energy Physics - Lattice
dc.titleStatistical Physics Approach to M-theory Integrals
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