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Herausgeber: 
  • Laurent Saloff-Coste
  • J. Michael Steele
  • David Aldous
  • Geoffrey R. Grimmett
  • Fabio Martinelli
  • Harry Kesten
  • C. Douglas Howard
  • Probability on Discrete Structures 
     

    (Buch)
    Dieser Artikel gilt, aufgrund seiner Grösse, beim Versand als 3 Artikel!


    Übersicht

    Auf mobile öffnen
     
    Lieferstatus:   Auf Bestellung (Lieferzeit unbekannt)
    Veröffentlichung:  September 2003  
    Genre:  Schulbücher 
     
    C / Mathematics and Statistics / Probabilities / Probability Theory / Probability Theory and Stochastic Processes / Random Walk / random walks on groups / relaxation time
    ISBN:  9783540008453 
    EAN-Code: 
    9783540008453 
    Verlag:  Springer EN 
    Einband:  Gebunden  
    Sprache:  English  
    Serie:  #110 - Encyclopaedia of Mathematical Sciences  
    Dimensionen:  H 235 mm / B 155 mm / D  
    Gewicht:  1510 gr 
    Seiten:  351 
    Illustration:  IX, 351 p. 
    Zus. Info:  EUDR exemption - product or manufacturing materials placed on the market prior to 31.12.2025. 
    Bewertung: Titel bewerten / Meinung schreiben
    Inhalt:
    Most probability problems involve random variables indexed by space and/or time. These problems almost always have a version in which space and/or time are taken to be discrete. This volume deals with areas in which the discrete version is more natural than the continuous one, perhaps even the only one than can be formulated without complicated constructions and machinery.
    The 5 papers of this volume discuss problems in which there has been significant progress in the last few years; they are motivated by, or have been developed in parallel with, statistical physics. They include questions about asymptotic shape for stochastic growth models and for random clusters; existence, location and properties of phase transitions; speed of convergence to equilibrium in Markov chains, and in particular for Markov chains based on models with a phase transition; cut-off phenomena for random walks.
    The articles can be read independently of each other. Their unifying theme is that of models built on discrete spaces or graphs. Such models are often easy to formulate. Correspondingly, the book requires comparatively little previous knowledge of the machinery of probability.

      



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