TY - JOUR
T1 - Information-Based Partitioning of the Dynamical System’s Domain
AU - Kagan, Eugene
AU - Novoselsky, Alexander
N1 - Publisher Copyright:
© The Author(s) 2026.
PY - 2026/1
Y1 - 2026/1
N2 - We suggest a method of discretization of the domain of dynamical systems based on observations. The method utilizes ε-entropy, ε-capacity, and the introduced 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.
AB - We suggest a method of discretization of the domain of dynamical systems based on observations. The method utilizes ε-entropy, ε-capacity, and the introduced 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.
KW - Dynamical system
KW - Partition
KW - ε-Capacity
KW - ε-Entropy
KW - ε-Information
UR - https://www.scopus.com/pages/publications/105026388786
U2 - 10.1007/s10955-025-03562-2
DO - 10.1007/s10955-025-03562-2
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AN - SCOPUS:105026388786
SN - 0022-4715
VL - 193
JO - Journal of Statistical Physics
JF - Journal of Statistical Physics
IS - 1
M1 - 2
ER -