Directed Polymers in Random Environments | École d'Été de Probabilités de Saint-Flour XLVI - 2016

Francis Comets

ISBN 10: 331950486X / ISBN 13: 9783319504865

Edité par Springer International Publishing, 2017

A propos de cet article

Directed Polymers in Random Environments | École d'Été de Probabilités de Saint-Flour XLVI - 2016 | Francis Comets | Taschenbuch | xvi | Englisch | 2017 | Springer International Publishing | EAN 9783319504865 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.

N° de réf. du vendeur 108398609

Détails bibliographiques

• Titre: Directed Polymers in Random Environments | École d'Été de Probabilités de Saint-Flour XLVI - 2016
• Éditeur: Springer International Publishing
• Date de parution: 2017
• Langue: anglais
• ISBN à 10 chiffres: 331950486X
• ISBN à 13 chiffres: 9783319504865
• Reliure: Taschenbuch
• État de l'article: Neu
• Dimensions: 235 L x 155 H x 13 P (en millimètres) 235 millimètres de largeur par 155 millimètres de hauteur par 13 millimètres de profondeur
• Poids: 341 grammes
• Catalogues du vendeur:
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Synopsis

Analyzing the phase transition from diffusive to localized behavior in a model of directed polymers in a random environment, this volume places particular emphasis on the localization phenomenon. The main questionis: What does the path of a random walk look like if rewards and penalties are spatially randomly distributed?This model, which provides a simplified version of stretched elastic chains pinned by random impurities, has attracted much research activity, but it (and its relatives) still holds many secrets, especially in high dimensions. It has non-gaussian scaling limits and it belongs to the so-called KPZ universality class when the space is one-dimensional. Adopting a Gibbsian approach, using general and powerful tools from probability theory, the discrete model is studied in full generality. Presenting the state-of-the art from different perspectives, and written in the form of a first course on the subject, this monograph is aimed at researchers in probability or statistical physics, but is also accessible to masters and Ph.D. students.