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7 - Pirogov–Sinai Theory

Published online by Cambridge University Press:  17 November 2017

Sacha Friedli
Affiliation:
École Polytechnique Fédérale de Lausanne
Yvan Velenik
Affiliation:
Université de Genève
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Summary

As we have already discussed several times in previous chapters, a central task of equilibrium statistical physics is to characterize all possible macroscopic behaviors of the system under consideration, given the values of the relevant thermodynamic parameters. This includes, in particular, the determination of the phase diagram of themodel. This can be tackled in at least two ways, as already seen in Chapter 3. In the first approach, one determines the set of all infinite-volume Gibbs measures as a function of the parameters of the model. In the second approach, one considers instead the associated pressure and studies its analytic properties as a function of its parameters; of particular interest is the determination of the set of values of the parameters at which the pressure fails to be differentiable.

Our goal in the present chapter is to introduce the reader to the Pirogov–Sinai theory, in which these two approaches can be implemented, at sufficiently low temperatures (or in other perturbative regimes), for a rather general class of models. This theory is one of the few frameworks in which first-order phase transitions can be established and phase diagrams constructed, under general assumptions.

To make the most out of this chapter, readers should preferably be familiar with the results derived for the Ising model in Chapter 3, as those provide useful intuition for the more complex problems addressed here. They should also be familiar with the cluster expansion technique described in Chapter 5, the latter being the basic tool we will use in our analysis. However, although it might help, a thorough understanding of the theory of Gibbs measures, as given in Chapter 6, is not required.

Conventions.We know from Corollary 6.41 that one-dimensional models with finite-range interactions do not exhibit phase transitions and thus possess a trivial phase diagram at all temperatures. We will therefore always assume, throughout the chapter, that d ≥ 2.

It will once more be convenient to adopt the physicists’ convention and let the inverse temperature β appear as a multiplicative constant in the Boltzmann weights and in the pressures. To lighten the notations, we will usually omit to mention β and the external fields, especially for partition functions.

Introduction

Most of Chapter 3 was devoted to the study of the phase diagram of the Ising model as a function of the inverse temperature β and magnetic field h.

Type
Chapter
Information
Statistical Mechanics of Lattice Systems
A Concrete Mathematical Introduction
, pp. 346 - 408
Publisher: Cambridge University Press
Print publication year: 2017

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  • Pirogov–Sinai Theory
  • Sacha Friedli, École Polytechnique Fédérale de Lausanne, Yvan Velenik, Université de Genève
  • Book: Statistical Mechanics of Lattice Systems
  • Online publication: 17 November 2017
  • Chapter DOI: https://doi.org/10.1017/9781316882603.008
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  • Pirogov–Sinai Theory
  • Sacha Friedli, École Polytechnique Fédérale de Lausanne, Yvan Velenik, Université de Genève
  • Book: Statistical Mechanics of Lattice Systems
  • Online publication: 17 November 2017
  • Chapter DOI: https://doi.org/10.1017/9781316882603.008
Available formats
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Save book to Google Drive

To save content items to your account, please confirm that you agree to abide by our usage policies. If this is the first time you use this feature, you will be asked to authorise Cambridge Core to connect with your account. Find out more about saving content to Google Drive.

  • Pirogov–Sinai Theory
  • Sacha Friedli, École Polytechnique Fédérale de Lausanne, Yvan Velenik, Université de Genève
  • Book: Statistical Mechanics of Lattice Systems
  • Online publication: 17 November 2017
  • Chapter DOI: https://doi.org/10.1017/9781316882603.008
Available formats
×