Subdiffusive random walk in a membrane system. The generalized method of images approach
Tadeusz Koszto{\l}owicz

TL;DR
This paper develops a generalized method of images to derive Green's functions for subdiffusive processes in membrane systems, comparing models of particle-membrane interactions and applying the approach to slow subdiffusion.
Contribution
It introduces a unified method to obtain Green's functions for subdiffusion in membrane systems, accommodating different membrane permeabilities and models.
Findings
Green's functions are equivalent for partially permeable membranes in both models.
Green's functions differ for one-sided fully permeable membranes between models.
The generalized method of images is applicable to various subdiffusion models.
Abstract
In this paper we study subdiffusion in a system with a thin membrane. At the beginning, the random walk of a particle is considered in a system with a discrete time and space variable and then the probability describing the evolution of the particle's position (Green's function) is transformed into a continuous system. Two models are considered differing here from each other regarding the assumptions about how the particle is stopped or reflected by the membrane when the particle attempts to pass through the membrane fails. We show that for a system in which a membrane is partially permeable with respect to both its sides the Green's functions obtained for both models within the {\it continuous time random walk formalism} are equivalent to each other and expressed by the functions presented in the paper: T. Koszto{\l}owicz, Phys. Rev. E \textbf{91}, 022102 (2015), except the values…
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