Probability on Graphs : Random Processes on Graphs and Lattices

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Title: Probability on Graphs : Random Processes on Graphs and Lattices
Description: This introduction to some of the principal models in the theory of disordered systems leads the reader through the basics, to the very edge of contemporary research, with the minimum of technical fuss. Topics covered include random walk, percolation, self-avoiding walk, interacting particle systems, uniform spanning tree, random graphs, as well as the Ising, Potts, and random-cluster models for ferromagnetism, and the Lorentz model for motion in a random medium. Schramm–Löwner evolutions (SLE) arise in various contexts. The choice of topics is strongly motivated by modern applications and focuses on areas that merit further research. Special features include a simple account of Smirnov's proof of Cardy's formula for critical percolation, and a fairly full account of the theory of influence and sharp-thresholds. Accessible to a wide audience of mathematicians and physicists, this book can be used as a graduate course text. Each chapter ends with a range of exercises.
Authors: Geoffrey Grimmett
Resource Type: eBook.
Subjects: Graph theory, Probabilities
Categories: MATHEMATICS / Graphic Methods
Database: eBook Collection (EBSCOhost)
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  – Type: ebook-pdf
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Header DbId: nlebk
DbLabel: eBook Collection (EBSCOhost)
An: 361597
RelevancyScore: 1031
AccessLevel: 6
PubType: eBook
PubTypeId: ebook
PreciseRelevancyScore: 1031.17456054688
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  Data: Probability on Graphs : Random Processes on Graphs and Lattices
– Name: Abstract
  Label: Description
  Group: Ab
  Data: This introduction to some of the principal models in the theory of disordered systems leads the reader through the basics, to the very edge of contemporary research, with the minimum of technical fuss. Topics covered include random walk, percolation, self-avoiding walk, interacting particle systems, uniform spanning tree, random graphs, as well as the Ising, Potts, and random-cluster models for ferromagnetism, and the Lorentz model for motion in a random medium. Schramm–Löwner evolutions (SLE) arise in various contexts. The choice of topics is strongly motivated by modern applications and focuses on areas that merit further research. Special features include a simple account of Smirnov's proof of Cardy's formula for critical percolation, and a fairly full account of the theory of influence and sharp-thresholds. Accessible to a wide audience of mathematicians and physicists, this book can be used as a graduate course text. Each chapter ends with a range of exercises.
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  Data: <searchLink fieldCode="AR" term="%22Geoffrey+Grimmett%22">Geoffrey Grimmett</searchLink>
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  Data: eBook.
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  Data: <searchLink fieldCode="DE" term="%22Graph+theory%22">Graph theory</searchLink><br /><searchLink fieldCode="DE" term="%22Probabilities%22">Probabilities</searchLink>
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RecordInfo BibRecord:
  BibEntity:
    Classifications:
      – Code: 511.5
        Scheme: ddc
        Type: prePub
    Languages:
      – Code: eng
        Text: English
    Subjects:
      – SubjectFull: Graph theory
        Type: general
      – SubjectFull: Probabilities
        Type: general
    Titles:
      – TitleFull: Probability on Graphs : Random Processes on Graphs and Lattices
        Type: main
  BibRelationships:
    HasContributorRelationships:
      – PersonEntity:
          Name:
            NameFull: Geoffrey Grimmett
      – PersonEntity:
          Name:
            NameFull: Geoffrey Grimmett
    IsPartOfRelationships:
      – BibEntity:
          Dates:
            – D: 01
              M: 01
              Type: published
              Y: 2010
            – D: 04
              M: 02
              Type: profile
              Y: 2014
          Identifiers:
            – Type: isbn-print
              Value: 9780521197984
            – Type: isbn-electronic
              Value: 9781139042062
          Numbering:
            – Type: volume
              Value: 00001
          Titles:
            – TitleFull: Probability on Graphs : Random Processes on Graphs and Lattices
              Type: main
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