Related Experiment Video
Updated: May 21, 2025

Single-Molecule Tracking Microscopy - A Tool for Determining the Diffusive States of Cytosolic Molecules
Published on: September 5, 2019
Compounded random walk for space-fractional diffusion on finite domains
Christopher N Angstmann1, Daniel S Han1, Bruce I Henry1
1University of New South Wales, School of Mathematics and Statistics, Sydney NSW 2052, Australia.
We developed a compounded random walk model for space-fractional diffusion. This new model accurately simulates diffusion on finite domains and in potential fields, advancing scientific modeling.
Area of Science:
- Physics
- Applied Mathematics
- Computational Science
Background:
- Fractional diffusion models are crucial for describing anomalous transport phenomena.
- Existing models often face limitations on bounded domains or when incorporating external forces.
- Understanding diffusion in complex environments requires robust mathematical frameworks.
Purpose of the Study:
- To introduce a novel compounded random walk formulation.
- To establish its connection with fractional Fokker-Planck and diffusion equations.
- To provide a versatile tool for modeling diffusion in bounded and unbounded spaces with forces.
Main Methods:
- Formulation of a compounded random walk with space-dependent forces.
- Derivation of the governing evolution equation.
- Analysis of its limiting behavior on finite and infinite domains.
- Development of numerical approximation and Monte Carlo simulation techniques.
Main Results:
- The compounded random walk is physically well-defined on finite and infinite domains.
- Its evolution equation limits to a space-fractional Fokker-Planck equation on bounded domains.
- It recovers the superdiffusive space-fractional diffusion equation on infinite domains.
- Numerical simulations show excellent agreement with analytical solutions.
Conclusions:
- The compounded random walk offers a significant advancement for modeling space-fractional diffusion.
- It provides a unified framework for diffusion on finite domains and in potential fields.
- This approach enhances the capability to simulate complex transport phenomena.
More Related Videos
06:55Synthesis of Cyclic Polymers and Characterization of Their Diffusive Motion in the Melt State at the Single Molecule Level
Published on: September 26, 2016
12:15Image Processing Protocol for the Analysis of the Diffusion and Cluster Size of Membrane Receptors by Fluorescence Microscopy
Published on: April 9, 2019
Related Concept Videos
Behavior of Gas Molecules: Molecular Diffusion, Mean Free Path, and Effusion
Linear Approximation in Time Domain
For a simple pendulum with a mass evenly distributed along its length and the center of mass located at half the pendulum's length,...
First Law: Particles in One-dimensional Equilibrium
First Law: Particles in Two-dimensional Equilibrium
Newton's first law tells us about...
Properties of DTFT II
The frequency differentiation property is illustrated by considering a DTFT pair and differentiating both sides with respect to ω.
Entropy Change in Reversible Processes
The statement can be further generalized to prove that entropy is a state function. Take a cyclic process between any two points on a p-V diagram.