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Logarithmic corrections to correlation decay in two-dimensional random-bond Ising systems.

Jean C Lessa1, S L A de Queiroz

  • 1Departamento de Física, Universidade Estadual de Feira de Santana, Campus Universitário, 44031-460 Feira de Santana BA, Brazil. jean@if.ufrj.br

Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics
|October 10, 2006
PubMed
Summary

Researchers studied critical spin-spin correlations in disordered Ising systems using numerical methods. They found logarithmic corrections to decay, supporting conformal invariance predictions in strip geometries.

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Area of Science:

  • Condensed Matter Physics
  • Statistical Mechanics

Background:

  • Investigating critical phenomena in disordered systems is crucial for understanding complex materials.
  • Ising models with disorder exhibit rich statistical properties that are challenging to analyze.

Purpose of the Study:

  • To analyze the statistics of critical spin-spin correlation functions in disordered Ising systems.
  • To test for logarithmic corrections to power-law decay using conformal invariance on strip geometries.

Main Methods:

  • Numerical transfer-matrix techniques were employed to study the system.
  • Conformal invariance concepts were applied to analyze correlation functions.
  • Data fitting was performed using expressions specific to logarithmic corrections on strips.

Main Results:

  • Logarithmic corrections to pure power-law decay were observed with the correct sign for correlation function moments (n=0-4).
  • An interval of disorder strength was identified where corrections align with theoretical predictions.
  • A new fitting procedure showed good agreement with theoretical predictions in the low-disorder limit.

Conclusions:

  • The study confirms the presence of logarithmic corrections to correlation functions in disordered Ising systems on strips.
  • The findings support the applicability of conformal invariance in analyzing such systems.
  • The proposed fitting procedure offers a valuable tool for future investigations of disordered systems.