Information-Based Partitioning of the Dynamical System’s Domain

Read full text
Authors: Eugene H. Kagan, Alexander Novoselsky
Cited by: 0
References: 13

Abstract

Abstract We suggest a method of discretization of the domain of dynamical systems based on observations. The method utilizes $$\varepsilon $$ ε -entropy, $$\varepsilon $$ ε -capacity, and the introduced $$\varepsilon $$ ε -information. It results in the partition of the system’s domain to the cells of equal diameters that allows representation of the system in the terms of discrete dynamics and its numerical analysis and modelling.

Fields of Study & Subjects

Mathematical Dynamics and Fractals Chaos control and synchronization Elasticity and Wave Propagation

Publication details

Journal / source
Journal of Statistical Physics
Volume
193
Issue
1
Publication date
4 January 2026
Language
EN