Abstract
A chaotic dynamics is typically characterized by the emergence of strange attractors with their fractal or multifractal structure. On the other hand, chaotic synchronization is a unique emergent self-organization phenomenon in nature. Classically, synchronization was characterized in terms of macroscopic parameters, such as the spectrum of Lyapunov exponents. Recently, however, we attempted a microscopic description of synchronization, called topological synchronization, and showed that chaotic synchronization is, in fact, a continuous process that starts in low-density areas of the attractor. Here we analyze the relation between the two emergent phenomena by shifting the descriptive level of topological synchronization to account for the multifractal nature of the visited attractors. Namely, we measure the generalized dimension of the system and monitor how it changes while increasing the coupling strength. We show that during the gradual process of topological adjustment in phase space, the multifractal structures of each strange attractor of the two coupled oscillators continuously converge, taking a similar form, until complete topological synchronization ensues. According to our results, chaotic synchronization has a specific trait in various systems, from continuous systems and discrete maps to high dimensional systems: synchronization initiates from the sparse areas of the attractor, and it creates what we termed as the ‘zipper effect’, a distinctive pattern in the multifractal structure of the system that reveals the microscopic buildup of the synchronization process. Topological synchronization offers, therefore, a more detailed microscopic description of chaotic synchronization and reveals new information about the process even in cases of high mismatch parameters.
Original language | English |
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Article number | 2508 |
Journal | Scientific Reports |
Volume | 12 |
Issue number | 1 |
DOIs | |
State | Published - Dec 2022 |
Bibliographical note
Publisher Copyright:© 2022, The Author(s).
Funding
The authors would like to thank Ashok Vaish for his continuous support. C.H. is supported by INSPIRE-Faculty grant (Code:IFA17-PH193). This work was supported by the US National Science Foundation - CRISP Award Number: 1735505 and by the Ministerio de Economía y Competitividad of Spain (project FIS2017-84151-P) and Ministerio de Ciencia e Innovación (project PID2020-113737GB-I00). The authors would like to thank Ashok Vaish for his continuous support. C.H. is supported by INSPIRE-Faculty grant (Code:IFA17-PH193). This work was supported by the US National Science Foundation - CRISP Award Number: 1735505 and by the Ministerio de Econom?a y Competitividad of Spain (project FIS2017-84151-P) and Ministerio de Ciencia e Innovaci?n (project PID2020-113737GB-I00).
Funders | Funder number |
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INSPIRE-Faculty | IFA17-PH193 |
Ministerio de Ciencia e Innovaci?n | |
National Science Foundation | 1735505 |
Ministerio de Economía y Competitividad | FIS2017-84151-P |
Ministerio de Ciencia e Innovación | PID2020-113737GB-I00 |