Open reaction-diffusion systems: bridging probabilistic theory and simulations across scales
Mauricio J. del Razo, Margarita Kostr\'e

TL;DR
This paper develops a multiscale framework connecting probabilistic particle-level models of open reaction-diffusion systems with macroscopic concentration descriptions, enabling consistent theory and simulation across scales.
Contribution
It introduces a unified mathematical approach to model open reaction-diffusion systems at both microscopic and macroscopic levels, including interactions with reservoirs.
Findings
Established probabilistic descriptions for particle-level reaction-diffusion.
Derived macroscopic concentration equations from particle models.
Developed numerical schemes validated with illustrative examples.
Abstract
Reaction-diffusion processes are the foundational model for a diverse range of complex systems, ranging from biochemical reactions to social agent-based phenomena. The underlying dynamics of these systems occur at the individual particle/agent level, and in realistic applications, they often display interaction with their environment through energy or material exchange with a reservoir. This requires intricate mathematical considerations, especially in the case of material exchange since the varying number of particles/agents results in ``on-the-fly'' modification of the system dimension. In this work, we first overview the probabilistic description of reaction-diffusion processes at the particle level, which readily handles varying number of particles. We then extend this model to consistently incorporate interactions with macroscopic material reservoirs. Based on the resulting…
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Taxonomy
TopicsGene Regulatory Network Analysis · Complex Network Analysis Techniques
