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Hopping diffusion of two coupled particles in the random trap model.

R Descas1, K Mussawisade

  • 1Theoretische Polymerphysik, Universität Freiburg, Hermann-Herder Strasse 3,q, Germany.

Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics
|January 7, 2003
PubMed
Summary

We mapped two-particle hopping dynamics to single-particle dynamics to calculate diffusion coefficients in a random trap model. A critical temperature was found, below which subdiffusive behavior emerges, twice as high as in the single-particle case.

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Area of Science:

  • Physics
  • Statistical Mechanics
  • Condensed Matter Physics

Background:

  • The random trap model describes particle diffusion on disordered media.
  • Understanding multi-particle dynamics is crucial for complex systems.

Purpose of the Study:

  • To exactly map the hopping dynamics of two strongly connected particles to single-particle dynamics.
  • To calculate the exact asymptotic diffusion coefficient for two connected particles in the random trap model.
  • To investigate the influence of site energies on diffusion and identify critical phenomena.

Main Methods:

  • Exact mapping of two-particle dynamics to single-particle dynamics.
  • Calculation of the asymptotic diffusion coefficient for a linear chain.
  • Analysis of diffusion with exponentially distributed site energies.

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Main Results:

  • The hopping dynamics of two strongly connected particles can be precisely reduced to single-particle dynamics.
  • The exact asymptotic diffusion coefficient for two connected particles was determined.
  • A critical temperature was identified, above which normal diffusion occurs and below which subdiffusive behavior is observed.
  • This critical temperature is double that found for single-particle diffusion.

Conclusions:

  • The study provides an exact analytical solution for two-particle diffusion in the random trap model.
  • The findings reveal a distinct critical temperature for subdiffusion in the two-particle system compared to the single-particle case.
  • This work offers insights into collective particle behavior and phase transitions in disordered systems.