Skip to main content Accessibility help
×
Hostname: page-component-77c89778f8-gq7q9 Total loading time: 0 Render date: 2024-07-21T15:34:22.391Z Has data issue: false hasContentIssue false

7 - The random-field Ising model

Published online by Cambridge University Press:  25 January 2010

Anton Bovier
Affiliation:
Technische Universität Berlin and Weierstraβ-Institut für Angewandte Analysis und Stochastik
Get access

Summary

Quand les physiciens nous demandent la solution d'un problème, ce n'est pas une corvée qu'ils nous imposent, c'est nous au contraire qui leur doivent des remercîments.

Henri Poincaré, La valeur de la science.

The random-field Ising model has been one of the big success stories of mathematical physics and deserves an entire chapter. It will give occasion to learn about many of the more powerful techniques available for the analysis of random systems. The central question heatedly discussed in the 1980s in the physics community was whether the RFIM would showspontaneous magnetization at lowtemperatures and weak disorder in dimension three, or not. There were conflicting theoretical arguments, and even conflicting interpretations of experiments. Disordered systems, more than others, tend to elude common intuition. The problem was solved at the end of the decade in two rigorous papers by Bricmont and Kupiainen (who proved the existence of a phase transition in d ≥ 3 for small ∈) and Aizenman and Wehr (who showed the uniqueness of the Gibbs state in d = 2 for all temperatures).

The Imry–Ma argument

The earliest attempt to address the question of the phase transition in the RFIM goes back to Imry and Ma in 1975. They tried to extend the beautiful and simple Peierls argument to a situation with symmetry breaking randomness. Let us recall that the Peierls argument in its essence relies on the observation that deforming one ground-state, +1, in the interior of a contour γ to another ground-state, −1, costs a surface energy 2|γ|, while, by symmetry, the bulk energies of the two ground-states are the same. Since the number of contours of a given length L is only of order CL, the Boltzmann factors, e–2βL, suppress such deformations sufficiently to make their existence unlikely if β is large enough.

Type
Chapter
Information
Statistical Mechanics of Disordered Systems
A Mathematical Perspective
, pp. 111 - 158
Publisher: Cambridge University Press
Print publication year: 2006

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

Save book to Kindle

To save this book to your Kindle, first ensure coreplatform@cambridge.org is added to your Approved Personal Document E-mail List under your Personal Document Settings on the Manage Your Content and Devices page of your Amazon account. Then enter the ‘name’ part of your Kindle email address below. Find out more about saving to your Kindle.

Note you can select to save to either the @free.kindle.com or @kindle.com variations. ‘@free.kindle.com’ emails are free but can only be saved to your device when it is connected to wi-fi. ‘@kindle.com’ emails can be delivered even when you are not connected to wi-fi, but note that service fees apply.

Find out more about the Kindle Personal Document Service.

  • The random-field Ising model
  • Anton Bovier, Technische Universität Berlin and Weierstraβ-Institut für Angewandte Analysis und Stochastik
  • Book: Statistical Mechanics of Disordered Systems
  • Online publication: 25 January 2010
  • Chapter DOI: https://doi.org/10.1017/CBO9780511616808.009
Available formats
×

Save book to Dropbox

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 Dropbox.

  • The random-field Ising model
  • Anton Bovier, Technische Universität Berlin and Weierstraβ-Institut für Angewandte Analysis und Stochastik
  • Book: Statistical Mechanics of Disordered Systems
  • Online publication: 25 January 2010
  • Chapter DOI: https://doi.org/10.1017/CBO9780511616808.009
Available formats
×

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.

  • The random-field Ising model
  • Anton Bovier, Technische Universität Berlin and Weierstraβ-Institut für Angewandte Analysis und Stochastik
  • Book: Statistical Mechanics of Disordered Systems
  • Online publication: 25 January 2010
  • Chapter DOI: https://doi.org/10.1017/CBO9780511616808.009
Available formats
×