V-Langevin Equations, Continuous Time Random Walks and Fractional Diffusion
arXiv:0704.2517 · doi:10.1016/j.chaos.2007.01.050
Abstract
The following question is addressed: under what conditions can a strange diffusive process, defined by a semi-dynamical V-Langevin equation or its associated Hybrid kinetic equation (HKE), be described by an equivalent purely stochastic process, defined by a Continuous Time Random Walk (CTRW) or by a Fractional Differential Equation (FDE)? More specifically, does there exist a class of V-Langevin equations with long-range (algebraic) velocity temporal correlation, that leads to a time-fractional superdiffusive process? The answer is always affirmative in one dimension. It is always negative in two dimensions: any algebraically decaying temporal velocity correlation (with a Gaussian spatial correlation) produces a normal diffusive process. General conditions relating the diffusive nature of the process to the temporal exponent of the Lagrangian velocity correlation (in Corrsin approximation) are derived.
Latex 69 pages including 23 EPS figures
References in corpus (2)
Cited by in corpus (12)
- Normal and Anomalous Diffusion: A Tutorial
- Short note on the emergence of fractional kinetics
- Fluctuation relations for anomalous dynamics generated by time-fractional Fokker-Planck equations
- Heat and work distributions for mixed Gauss-Cauchy process
- Analyzing signal attenuation in PFG anomalous diffusion via a non-Gaussian phase distribution approximation approach by fractional derivatives
- General PFG signal attenuation expressions for anisotropic anomalous diffusion by modified-Bloch equations
- General pulsed-field gradient signal attenuation expression based on a fractional integral modified-Bloch equation
- Aging in Financial Market
- Collectivity in diffusion of colloidal particles: from effective interactions to spatially correlated noise
- On properties of Continuous-Time Random Walks with Non-Poissonian jump-times
- Thermodynamically consistent Langevin dynamics with spatially correlated noise predicts frictionless regime and transient attraction effect
- Fast generation of Gaussian random fields for direct numerical simulations of stochastic transport