Synchronizations in Complex Systems Dynamics Through a Multifractal Procedure

The dynamics of complex systems often exhibit multifractal properties, where interactions across different scales influence their evolution. In this study, we apply the Multifractal Theory of Motion within the framework of scale relativity theory to explore synchronization phenomena in complex systems. We demonstrate that the motion of such systems can be described by multifractal Schrödinger-type equations, offering a new perspective on the interplay between deterministic and stochastic behaviors. Our analysis reveals that synchronization in complex systems emerges from the balance of multifractal acceleration, convection, and dissipation, leading to structured yet highly adaptive behavior across scales. The results highlight the potential of multifractal analysis in predicting and controlling synchronized dynamics in real-world applications. Several applications are also discussed.

Authors

Institutions

Publication Details

Journal
Entropy
Published
2025-06-17
DOI
https://doi.org/10.3390/e27060647
Citations
1
Primary Topic
Complex Systems and Time Series Analysis
Type
article
Field-Weighted Citation Impact
3.13
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Synchronizations in Complex Systems Dynamics Through a Multifractal Procedure

Oana Rusu, Maricel Agop, Diana Mirilă, Florin Nedeff et al.
1 citations
Entropy
Complex Systems and Time Series Analysis
3.13
article

Synchronizations in Complex Systems Dynamics Through a Multifractal Procedure

Oana Rusu, Maricel Agop, Diana Mirilă, Florin Nedeff, Decebal Vasincu, Dragoș Ioan Rusu, Vlad Ghizdovăţ
article en
1 citations

Abstract

The dynamics of complex systems often exhibit multifractal properties, where interactions across different scales influence their evolution. In this study, we apply the Multifractal Theory of Motion within the framework of scale relativity theory to explore synchronization phenomena in complex systems. We demonstrate that the motion of such systems can be described by multifractal Schrödinger-type equations, offering a new perspective on the interplay between deterministic and stochastic behaviors. Our analysis reveals that synchronization in complex systems emerges from the balance of multifractal acceleration, convection, and dissipation, leading to structured yet highly adaptive behavior across scales. The results highlight the potential of multifractal analysis in predicting and controlling synchronized dynamics in real-world applications. Several applications are also discussed.

EntropyVol. 27(6)
Grigore T. Popa University of Medicine and Pharmacy (RO), Academia Oamenilor de Știință din România (RO), Gheorghe Asachi Technical University of Iași (RO), University of Bacău (RO)
Openalex Percentile: Top 8%
Complex Systems and Time Series Analysis
3.13
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Synchronizations in Complex Systems Dynamics Through a Multifractal Procedure — Oana Rusu, Maricel Agop, et al. · Entropy (2025) | TGRS Research Map | TGRS