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Normal-to-anomalous diffusion transition in disordered correlated potentials: from the central limit theorem to
R Salgado-García1, Cesar Maldonado2
1Facultad de Ciencias, Universidad Autónoma del Estado de Morelos, Avenida Universidad 1001, Colonia Chamilpa, 62209 Cuernavaca Morelos, Mexico.
Particle diffusion over tilted random potentials depends on potential correlations. We derived a general formula for normal diffusion and identified conditions leading to anomalous diffusion, confirmed by simulations.
Area of Science:
- Statistical Physics
- Condensed Matter Physics
- Polymer Physics
Background:
- Studying particle diffusion in complex potentials is crucial for understanding various physical phenomena.
- Long-range correlations in potentials can significantly alter diffusion dynamics.
- Previous models often simplified potential correlations, limiting applicability.
Purpose of the Study:
- To investigate the diffusion of overdamped particles on a tilted random potential with long-range correlations.
- To establish a relationship between diffusion properties and the potential's correlation function.
- To explore the transition from normal to anomalous diffusion mechanisms.
Main Methods:
- Modeling the random potential using symbolic dynamics of shift spaces.
- Deriving a general formula for the diffusion coefficient under normal diffusion conditions.
- Analyzing the breakdown of the central limit theorem to predict anomalous diffusion.
- Employing numerical simulations to validate analytical predictions.
Main Results:
- Diffusion properties are directly linked to the potential's correlation function.
- A general formula for the diffusion coefficient was obtained for normal diffusion.
- Conditions for the breakdown of the central limit theorem leading to anomalous diffusion were identified.
- Analytical expressions for diffusion exponents in both normal and anomalous regimes were derived.
Conclusions:
- The correlation function of the random potential is a key determinant of particle diffusion behavior.
- The study provides a theoretical framework for understanding diffusion transitions in disordered systems.
- Numerical simulations confirm the analytical predictions, validating the proposed models.
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