Destruction of ultra-slow diffusion in a three dimensional cylindrical comb structure
A. Iomin, V. Mendez

TL;DR
This paper rigorously analyzes anomalous transport in a 3D comb structure, showing how ultra-slow diffusion can be destroyed or transformed into subdiffusion depending on boundary conditions and diffusion types in secondary branches.
Contribution
It provides a mathematical solution to the Fokker-Planck equation for 3D combs, revealing conditions under which ultra-slow diffusion is destroyed or altered.
Findings
Ultra-slow diffusion occurs with MSD ~ ln(t) in infinite secondary branches.
Finite boundaries lead to a transition from ultra-slow to normal diffusion.
Anomalous diffusion in secondary branches results in enhanced subdiffusion with MSD ~ t^{1-α} ln t.
Abstract
We present a rigorous result on ultra-slow diffusion by solving a Fokker-Planck equation, which describes anomalous transport in a three dimensional (3D) comb. This 3D cylindrical comb consists of a cylinder of discs threaten on a backbone. It is shown that the ultra-slow contaminant spreading along the backbone is described by the mean squared displacement (MSD) of the order of . This phenomenon takes place only for normal two dimensional diffusion inside the infinite secondary branches (discs). When the secondary branches have finite boundaries, the ultra-slow motion is a transient process and the asymptotic behavior is normal diffusion. In another example, when anomalous diffusion takes place in the secondary branches, a destruction of ultra-slow (logarithmic) diffusion takes place as well. As the result, one observes "enhanced" subdiffusion with the MSD $\sim…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsFractional Differential Equations Solutions · Diffusion and Search Dynamics · Stochastic processes and statistical mechanics
