Effective dynamicsof a coupled microscopic-macroscopic stochastic system
Jian Ren, Hongbo Fu, Daomin Cao, Jinqiao Duan

TL;DR
This paper introduces a reduction method for coupled microscopic-macroscopic stochastic systems, enabling effective dynamics approximation with proven probabilistic convergence under certain conditions.
Contribution
It presents a novel dynamical reduction procedure for slow-fast stochastic systems, bridging microscopic and macroscopic scales.
Findings
Effective dynamics approximate original systems
Probabilistic convergence established
Applicable under specific assumptions
Abstract
A conceptual model for microscopic-macroscopic slow-fast stochastic systems is considered. A dynamical reduction procedure is presented in order to extract effective dynamics for this kind of systems. Under appropriate assumptions, the effective system is shown to approximate the original system, in the sense of a probabilistic convergence.
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Taxonomy
TopicsAdvanced Thermodynamics and Statistical Mechanics · Nonlinear Dynamics and Pattern Formation · Mathematical Biology Tumor Growth
