On the choice of coarse variables for dynamics
Amit Acharya

TL;DR
This paper discusses methods for selecting coarse variables that effectively capture the averaged behavior of fine-scale autonomous systems, enabling approximate autonomous dynamics for practical applications.
Contribution
It introduces two ideas for choosing coarse variables that represent averaged behaviors, facilitating approximate autonomous dynamics in complex systems.
Findings
Proposes two methods for selecting coarse variables.
Demonstrates how coarse variables can approximate fine-scale dynamics.
Provides insights into coarse-graining for autonomous systems.
Abstract
Two ideas for the choice of an adequate set of coarse variables allowing approximate autonomous dynamics for practical applications are presented. The coarse variables are meant to represent averaged behavior of a fine-scale autonomous dynamics.
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Taxonomy
TopicsNonlinear Dynamics and Pattern Formation · Mathematical Dynamics and Fractals · Chaos control and synchronization
