Information-Based Partitioning of the Dynamical System’s Domain

Abstract We suggest a method of discretization of the domain of dynamical systems based on observations. The method utilizes $$\varepsilon $$ <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:mi>ε</mml:mi> </mml:math> -entropy, $$\varepsilon $$ <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:mi>ε</mml:mi> </mml:math> -capacity, and the introduced $$\varepsilon $$ <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:mi>ε</mml:mi> </mml:math> -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.

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Publication Details

Journal
Journal of Statistical Physics
Published
2026-01-04
DOI
https://doi.org/10.1007/s10955-025-03562-2
Primary Topic
Mathematical Dynamics and Fractals
Type
article
Field-Weighted Citation Impact
0.00

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article

Information-Based Partitioning of the Dynamical System’s Domain

Alexander Novoselsky, Eugene H. Kagan
Journal of Statistical Physics
Mathematical Dynamics and Fractals
article

Information-Based Partitioning of the Dynamical System’s Domain

Alexander Novoselsky, Eugene H. Kagan
article en

Abstract

Abstract We suggest a method of discretization of the domain of dynamical systems based on observations. The method utilizes $$\varepsilon $$ <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:mi>ε</mml:mi> </mml:math> -entropy, $$\varepsilon $$ <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:mi>ε</mml:mi> </mml:math> -capacity, and the introduced $$\varepsilon $$ <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:mi>ε</mml:mi> </mml:math> -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.

Journal of Statistical PhysicsVol. 193(1)
BMC Software (United States) (US), Ariel University (IL)
Ariel University
Openalex Percentile: Top 95%
Mathematical Dynamics and Fractals
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