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Phase transitions in Edwards-Anderson model by means of information theory

  • E. E. Vogel
  • , G. Saravia
  • , F. Bachmann
  • , B. Fierro
  • , Janine Fischer

Research output: Contribution to journalArticlepeer-review

19 Scopus citations

Abstract

A numeric method to characterize phase transitions is presented, explained and applied to a two-dimensional disordered system that can be thought of as a diluted ferromagnet or an Edwards-Anderson model near the ferromagnetic limit. A computer simulation is implemented to define a time series for order parameters; a file stores the time evolution of each parameter for different dilution concentrations and for a series of temperatures. These files are compressed and they reach a maximum size for temperatures in agreement with critical temperatures for the ferromagnetic/paramagnetic transition obtained by other methods. Site order parameter gives optimum results for this method based on data compression. Data compression procedures are invoked to give a qualitative explanation of this phenomenon. The advantages of this method are discussed by comparing results and procedures with two established methods: the crossing of Binder cumulants and the crossing of time autocorrelation functions. Other possible applications and extensions of this method are also mentioned.

Original languageEnglish
Pages (from-to)4075-4082
Number of pages8
JournalPhysica A: Statistical Mechanics and its Applications
Volume388
Issue number19
DOIs
StatePublished - 1 Oct 2009
Externally publishedYes

Keywords

  • Data compression
  • Edwards-Anderson model
  • Information theory
  • Phase transition

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