On diffusion approximation of a slow component for solution of stochastic differential equation of Ito
V.A Doobko

TL;DR
This paper develops a diffusion approximation for the slow component of solutions to stochastic differential equations, providing a method to estimate the validity period of phenomenological diffusion laws in non-uniform environments.
Contribution
It introduces a new approach to estimate the time interval where Fick's laws accurately describe diffusion in stochastic systems.
Findings
Provides a method for time interval estimation of diffusion approximation
Enables assessment of phenomenological law validity in stochastic models
Applies to Brownian particles in non-uniform environments
Abstract
For the concrete model of Brownian particles dynamics in non-uniform environment, the time interval estimation is constructed, on which phenomenological Fick laws for diffusion phenomenon description can be used. The knowledge of these estimations gives the possibility to judge about adequacy of the initial assumption about dynamics of the real processes. Noted, that such an assessment has not been introduced yet, up to date.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsDifferential Equations and Numerical Methods · Advanced Mathematical Modeling in Engineering
