Network experiment demonstrates converse symmetry breaking
| Autor: | Adilson E. Motter, Ferenc Molnar, Takashi Nishikawa |
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| Rok vydání: | 2020 |
| Předmět: |
Physics
FOS: Physical sciences General Physics and Astronomy Pattern formation Disordered Systems and Neural Networks (cond-mat.dis-nn) Dynamical Systems (math.DS) Function (mathematics) Condensed Matter - Disordered Systems and Neural Networks Network dynamics Topology 01 natural sciences Noise (electronics) Nonlinear Sciences - Adaptation and Self-Organizing Systems Symmetry (physics) Synchronization 010305 fluids & plasmas 0103 physical sciences Converse FOS: Mathematics Symmetry breaking Mathematics - Dynamical Systems 010306 general physics Adaptation and Self-Organizing Systems (nlin.AO) |
| Zdroj: | Nature Physics. 16:351-356 |
| ISSN: | 1745-2481 1745-2473 |
| Popis: | Symmetry breaking--the phenomenon in which the symmetry of a system is not inherited by its stable states--underlies pattern formation, superconductivity, and numerous other effects. Recent theoretical work has established the possibility of converse symmetry breaking (CSB), a phenomenon in which the stable states are symmetric only when the system itself is not. This includes scenarios in which interacting entities are required to be nonidentical in order to exhibit identical behavior, such as in reaching consensus. Here we present an experimental demonstration of this phenomenon. Using a network of alternating-current electromechanical oscillators, we show that their ability to achieve identical frequency synchronization is enhanced when the oscillators are tuned to be suitably nonidentical and that CSB persists for a range of noise levels. These results have implications for the optimization and control of network dynamics in a broad class of systems whose function benefits from harnessing uniform behavior. Comment: Minor typo corrected in Eq. (2). All results and other equations remain unaffected. Summary video available at https://www.youtube.com/watch?v=TesgXXj8T8I |
| Databáze: | OpenAIRE |
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