Space-time fractional diffusion in cell movement models with delay

Abstract

The movement of organisms and cells can be governed by occasional long distance runs, according to an approximate Lévy walk. For T cells migrating through chronically-infected brain tissue, runs are further interrupted by long pauses, and the aim here is to clarify the form of continuous model equations which describe such movements. Starting from a microscopic velocity-jump model based on experimental observations, we include power-law distributions of run and waiting times and investigate the relevant parabolic limit from a kinetic equation for resting and moving individuals. In biologically relevant regimes we derive nonlocal diffusion equations, including fractional Laplacians in space and fractional time derivatives. Its analysis and numerical experiments shed light on how the searching strategy, and the impact from chemokinesis responses to chemokines, shorten the average time taken to find rare targets in the absence of direct guidance information such as chemotaxis.

25 pages, 8 figures, Mathematical Models and Methods in Applied Sciences (2019)

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• Efficient quantitative assessment of robot swarms: coverage and targeting Lévy strategies
• Metaplex networks: influence of the exo-endo structure of complex systems on diffusion
• Nonzero positive solutions of fractional Laplacian systems with functional terms