# Random surfaces / Scott Sheffield

Type de document : MonographieCollection : Astérisque, 304Langue : anglais.Pays: France.Éditeur : Paris : Société Mathématique de France, 2005Description : 1 vol. (VI-175 p.) ; 24 cmISBN: 9782856291870.ISSN: 0303-1179.Bibliographie : Bibliogr. p.169-175.Sujet MSC : 60D05, Geometric probability and stochastic geometry60F10, Limit theorems in probability theory, Large deviations

60G60, Probability theory and stochastic processes, Random fields

82B20, Equilibrium statistical mechanics, Lattice systems and systems on graphs arising in equilibrium statistical mechanics

82B41, Equilibrium statistical mechanics, Random walks, random surfaces, lattice animals, etc. in equilibrium statistical mechanicsEn-ligne : Résumé

Item type | Current library | Call number | Status | Date due | Barcode |
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Monographie | CMI Salle 1 | Séries SMF 304 (Browse shelf(Opens below)) | Available | 03922-01 |

This treatise, which is the author's thesis, gives an authorative description of lattice models of random surfaces modelled by “gradient Gibbs measures”. These gradient Gibbs measures are defined on observables in which the height of the surface is divided out. This height can be either discrete-valued or have values in the continuum. In cases where the surface fluctuates too strongly and cannot be described by a Gibbs measure, gradient Gibbs measure, which then are “rough” (as opposed to the “smooth” case, where one has the restriction of proper Gibbs measures), still may exist. In some cases uniqueness results for surfaces of a given slope may be obtained. Although these gradient Gibbs measures had been introduced before, Sheffield's work is a very valuable addition to the literature, both as a careful review of the general theory, describing gradient Gibbs measures, large deviation principles and variational principles, and at the same time containing various new results of interest for more specific classes of models. (Zentralblatt)

Bibliogr. p.169-175

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