On relation between generalized diffusion equations and subordination schemes
arXiv:2101.01125 · doi:10.1103/PhysRevE.103.032133
Abstract
Generalized (non-Markovian) diffusion equations with different memory kernels and subordination schemes based on random time change in the Brownian diffusion process are popular mathematical tools for description of a variety of non-Fickian diffusion processes in physics, biology and earth sciences. Some of such processes (notably, the fluid limits of continuous time random walks) allow for either kind of description, but other ones do not. In the present work we discuss the conditions under which a generalized diffusion equation does correspond to a subordination scheme, and the conditions under which a subordination scheme does possess the corresponding generalized diffusion equation. Moreover, we discuss examples of random processes for which only one, or both kinds of description are applicable.
References in corpus (11)
- "Diffusing diffusivity": A model for anomalous and "anomalous yet Brownian" diffusion
- Some aspects of fractional diffusion equations of single and distributed order
- Diffusion-limited reactions in dynamic heterogeneous media
- Distributed-Order Fractional Kinetics
- Continuous Time Random Walks (CTRWs): Simulation of continuous trajectories
- Superstatistical generalised Langevin equation: non-Gaussian viscoelastic anomalous diffusion
- Generalized diffusion-wave equation with memory kernel
- Mellin transform and subordination laws in fractional diffusion processes
- Subordination Pathways to Fractional Diffusion
- A fractional diffusion equation for two-point probability distributions of a continuous-time random walk
- Random coefficient autoregressive processes describe Brownian yet non-Gaussian diffusion in heterogeneous systems
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