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dc.contributor.authorAndrzejak, Ralph G.-
dc.contributor.authorRuzzene, Giulia-
dc.contributor.authorSchöll, Eckehard-
dc.contributor.authorOmelchenko, Iryna-
dc.descriptionThis article may be downloaded for personal use only. Any other use requires prior permission of the author and AIP Publishing. This article appeared in Chaos 30, 033125 (2020) and may be found at
dc.description.abstractWe numerically study a network of two identical populations of identical real-valued quadratic maps. Upon variation of the coupling strengths within and across populations, the network exhibits a rich variety of distinct dynamics. The maps in individual populations can be synchronized or desynchronized. Their temporal evolution can be periodic or aperiodic. Furthermore, one can find blends of synchronized with desynchronized states and periodic with aperiodic motions. We show symmetric patterns for which both populations have the same type of dynamics as well as chimera states of a broken symmetry. The network can furthermore show multistability by settling to distinct dynamics for different realizations of random initial conditions or by switching intermittently between distinct dynamics for the same realization. We conclude that our system of two populations of a particularly simple map is the most simple system that can show this highly diverse and complex behavior, which includes but is not limited to chimera states. As an outlook to future studies, we explore the stability of two populations of quadratic maps with a complex-valued control parameter. We show that bounded and diverging dynamics are separated by fractal boundaries in the complex plane of this control parameter.en
dc.description.sponsorshipDFG, 163436311, SFB 910: Kontrolle selbstorganisierender nichtlinearer Systeme: Theoretische Methoden und Anwendungskonzepteen
dc.subject.ddc530 Physikde
dc.subject.otherquadratic mapsen
dc.subject.otherbroken symmetryen
dc.titleTwo populations of coupled quadratic maps exhibit a plentitude of symmetric and symmetry broken dynamicsen
tub.publisher.universityorinstitutionTechnische Universität Berlinde
dcterms.bibliographicCitation.journaltitleChaos: An Interdisciplinary Journal of Nonlinear Scienceen
dcterms.bibliographicCitation.originalpublisherplaceMelville, NYen
dcterms.bibliographicCitation.originalpublishernameAmerican Institute of Physics (AIP)en
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