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Fractional diffusion equation for an n-dimensional correlated Lévy walk
Jake P Taylor-King1,2, Rainer Klages3,4, Sergei Fedotov5
1Mathematical Institute, University of Oxford, Oxford, OX2 6GG, United Kingdom.
This study derives a fractional diffusion equation for correlated Lévy walks, enabling faster-than-Brownian motion modeling. The findings reveal new insights into superdiffusion dynamics for experimental measurement.
Area of Science:
- Physics
- Mathematics
- Statistical Mechanics
Background:
- Lévy walks are crucial for modeling superdiffusion, exceeding Brownian motion's speed.
- Previous research lacked a diffusion equation for n-dimensional correlated Lévy walks.
Purpose of the Study:
- Derive a fractional diffusion equation for correlated Lévy walks.
- Analyze superdiffusive dynamics in the large time limit.
- Identify experimentally measurable dynamical mechanisms.
Main Methods:
- Utilized a fractional Klein-Kramers equation as the starting point.
- Employed a moment method combined with a Cattaneo approximation.
- Solved the derived fractional diffusion equation.
Main Results:
- Successfully derived a fractional diffusion equation for short-range auto-correlated Lévy walks.
- The equation is valid for superdiffusive processes in the large time limit.
- Identified distinct dynamical mechanisms contributing to correlated Lévy walk diffusion.
Conclusions:
- The derived equation provides a framework for understanding correlated Lévy walk diffusion.
- The findings offer experimentally verifiable insights into superdiffusive phenomena.
- This work advances the theoretical understanding of anomalous diffusion models.
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