Abstract:We study oscillation death (OD) in a well-known coupled-oscillator system that has been used to model cardiovascular phenomena. We derive exact analytic conditions that allow the prediction of OD through the two known bifurcation routes, in the same model, and for different numbers of coupled oscillators. Our exact analytic results enable us to generalize OD as a multiparametersensitive phenomenon. It can be induced, not only by changes in couplings, but also by changes in the oscillator frequencies or amplitu… Show more
“…The dotted lines are the coexist-ing unstable steady states indicating the origin of SNB at ǫ = 2.414. The HSS coexists (zero black line) with the IHSS here in contrast to a previous report [24] where an unstable origin bifurcates into IHSS via SNB but the origin remains unstable. No transition from HSS to IHSS was observed although a negative mean-field coupling or a repulsive link was used there, possibly due to a symmetric use of the repulsive coupling.…”
We report the existence of diverse routes of transition from amplitude death to oscillation death in three different diffusively coupled systems, which are perturbed by a symmetry breaking repulsive coupling link. For limit-cycle systems the transition is through a pitchfork bifurcation, as has been noted before, but in chaotic systems it can be through a saddle-node or a transcritical bifurcation depending on the nature of the underlying dynamics of the individual systems. The diversity of the routes and their dependence on the complex dynamics of the coupled systems not only broadens our understanding of this important phenomenon but can lead to potentially new practical applications.
“…The dotted lines are the coexist-ing unstable steady states indicating the origin of SNB at ǫ = 2.414. The HSS coexists (zero black line) with the IHSS here in contrast to a previous report [24] where an unstable origin bifurcates into IHSS via SNB but the origin remains unstable. No transition from HSS to IHSS was observed although a negative mean-field coupling or a repulsive link was used there, possibly due to a symmetric use of the repulsive coupling.…”
We report the existence of diverse routes of transition from amplitude death to oscillation death in three different diffusively coupled systems, which are perturbed by a symmetry breaking repulsive coupling link. For limit-cycle systems the transition is through a pitchfork bifurcation, as has been noted before, but in chaotic systems it can be through a saddle-node or a transcritical bifurcation depending on the nature of the underlying dynamics of the individual systems. The diversity of the routes and their dependence on the complex dynamics of the coupled systems not only broadens our understanding of this important phenomenon but can lead to potentially new practical applications.
“…For example, the model [36] of the cardiovascular system as five coupled self-sustained autonomous limit cycle oscillators reproduces the main characteristic features of the observed cardio-respiratory interactions. However, it was shown [37,38] that an explanation of the variability of cardiac and respiratory frequencies within the model [36] requires consideration of the effect of noise [37] or for the system to be near the onset of oscillation death [38]. In contrast to this, frequencies of oscillations in the systems [31][32][33][34][35], despite being externally perturbed, appear to have stable patterns in time that are resistant to external perturbations.…”
Until recently, deterministic nonautonomous oscillatory systems with stable amplitudes and time-varying frequencies were not recognized as such and have often been mistreated as stochastic. These systems, named chronotaxic, were introduced in Phys. Rev. Lett. 111, 024101 (2013). In contrast to conventional limit cycle models of self-sustained oscillators, these systems posses a time-dependent point attractor or steady state. This allows oscillations with time-varying frequencies to resist perturbations, a phenomenon which is ubiquitous in living systems. In this work a detailed theory of chronotaxic systems is presented, specifically in the case of separable amplitude and phase dynamics. The theory is extended by the introduction of chronotaxic amplitude dynamics. The wide applicability of chronotaxic systems to a range of fields from biological and condensed matter systems to robotics and control theory is discussed.
“…Another important group of physical phenomena attributable to interactions are those associated with oscillation and amplitude deaths (Bar-Eli, 1985;Mirollo and Strogatz, 1990;Prasad, 2005;Suárez-Vargas et al, 2009;Koseska, Volkov, and Kurths, 2013a;Zakharova et al, 2013;Schneider et al, 2015). Oscillation death is defined as a complete cessation of oscillation caused by the interactions, when an inhomogeneous steady state is reached.…”
Section: Fig 1 Examples Of Coupling Functions Used In Chemistrymentioning
confidence: 99%
“…When the distribution g of the natural frequencies is an even, unimodal, and nonincreasing function, and the coupling is weak, the incoherent state is neutral (Strogatz and Mirollo, 1991), but the order parameter r vanishes (at a polynomial rate) if g is smooth (Fernandez, Gérard-Varet, and Giacomin, 2014). Moreover, on increasing the coupling, the incoherent solution r ¼ 0 bifurcates for…”
The dynamical systems found in nature are rarely isolated. Instead they interact and influence each other. The coupling functions that connect them contain detailed information about the functional mechanisms underlying the interactions and prescribe the physical rule specifying how an interaction occurs. A coherent and comprehensive review is presented encompassing the rapid progress made recently in the analysis, understanding, and applications of coupling functions. The basic concepts and characteristics of coupling functions are presented through demonstrative examples of different domains, revealing the mechanisms and emphasizing their multivariate nature. The theory of coupling functions is discussed through gradually increasing complexity from strong and weak interactions to globally coupled systems and networks. A variety of methods that have been developed for the detection and reconstruction of coupling functions from measured data is described. These methods are based on different statistical techniques for dynamical inference. Stemming from physics, such methods are being applied in diverse areas of science and technology, including chemistry, biology, physiology, neuroscience, social sciences, mechanics, and secure communications. This breadth of application illustrates the universality of coupling functions for studying the interaction mechanisms of coupled dynamical systems.
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