Generalized master equation for first-passage problems in partitioned spaces
Daniela Fr\"omberg, Felix H\"ofling

TL;DR
This paper introduces a modular generalized master equation framework for analyzing first-passage times in complex, partitioned spaces with heterogeneous transport modes, validated through biological-inspired diffusion problems.
Contribution
It develops a novel coarse-grained approach using a generalized master equation to handle diverse transport behaviors and geometries in first-passage problems.
Findings
Validated framework with exact solutions for homogeneous spaces
Extended analysis to heterogeneous domains with different diffusivities
Revealed geometry and heterogeneity influence characteristic time scales
Abstract
Motivated by a range of biological applications related to the transport of molecules in cells, we present a modular framework to treat first-passage problems for diffusion in partitioned spaces. The spatial domains can differ with respect to their diffusivity, geometry, and dimensionality, but can also refer to transport modes alternating between diffusive, driven, or anomalous motion. The approach relies on a coarse-graining of the motion by dissecting the trajectories on domain boundaries or when the mode of transport changes, yielding a small set of states. The time evolution of the reduced model follows a generalized master equation (GME) for non-Markovian jump processes; the GME takes the form of a set of linear integro-differential equations in the occupation probabilities of the states and the corresponding probability fluxes. Further building blocks of the model are partial…
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