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Bifurcation diagram

About: Bifurcation diagram is a research topic. Over the lifetime, 8379 publications have been published within this topic receiving 139664 citations.


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Journal ArticleDOI
TL;DR: This paper gives a theoretical interpretation of the bifurcations of periodic or closed orbits of electrons in atoms in magnetic fields, and asserts the existence of just five typical types of bIfurcation in conservative systems with two degrees of freedom.
Abstract: Classically chaotic systems possess a proliferation of periodic orbits. This phenomenon was observed in a quantum system through measurements of the absorption spectrum of a hydrogen atom in a magnetic field. This paper gives a theoretical interpretation of the bifurcations of periodic or closed orbits of electrons in atoms in magnetic fields. We ask how new periodic orbits can be created out of existing ones or ``out of nowhere'' as the energy changes. Hamiltonian bifurcation theory provides the answer: it asserts the existence of just five typical types of bifurcation in conservative systems with two degrees of freedom. We show an example of each type. Every case we have examined falls into one of the patterns described by the theory.

67 citations

Journal ArticleDOI
TL;DR: An alternative continuation method for tracking unstable periodic orbits by slowly varying an available system parameter, which is a predictor-corrector method for which initially the orbit is on a chaotic attractor and can be used to track the orbit through regimes not necessarily chaotic.
Abstract: We present a continuation method for experimentally tracking unstable periodic orbits by slowly varying an available system parameter in a dynamical system. The method does not depend on an explicit model, but on the signal analysis of a measured time series. Unstable periodic orbits can be tracked through various bifurcations. We apply this to a Duffing-like circuit and compare the results to an approximate model of the circuit.

67 citations

Journal ArticleDOI
02 May 2008-Chaos
TL;DR: This study illustrates the phenomenology of the bifurcation for several classes of nonlinear oscillators, in the regimes of both periodic and chaotic dynamics and constructs an electronic circuit consisting of two coupled Chua oscillators.
Abstract: Recently, the phase-flip bifurcation has been described as a fundamental transition in time-delay coupled, phase-synchronized nonlinear dynamical systems. The bifurcation is characterized by a change of the synchronized dynamics from being in-phase to antiphase, or vice versa; the phase-difference between the oscillators undergoes a jump of pi as a function of the coupling strength or the time delay. This phase-flip is accompanied by discontinuous changes in the frequency of the synchronized oscillators, and in the largest negative Lyapunov exponent or its derivative. Here we illustrate the phenomenology of the bifurcation for several classes of nonlinear oscillators, in the regimes of both periodic and chaotic dynamics. We present extensive numerical simulations and compute the oscillation frequencies and the Lyapunov spectra as a function of the coupling strength. In particular, our simulations provide clear evidence of the phase-flip bifurcation in excitable laser and Fitzhugh-Nagumo neuronal models, and in diffusively coupled predator-prey models with either limit cycle or chaotic dynamics. Our analysis demonstrates marked jumps of the time-delayed and instantaneous fluxes between the two interacting oscillators across the bifurcation; this has strong implications for the performance of the system as well as for practical applications. We further construct an electronic circuit consisting of two coupled Chua oscillators and provide the first formal experimental demonstration of the bifurcation. In totality, our study demonstrates that the phase-flip phenomenon is of broad relevance and importance for a wide range of physical and natural systems.

66 citations

Journal ArticleDOI
TL;DR: In this article, the authors studied the bifurcation diagram for iterates of the non-analytic maps z to fc(z)=z2+c, which they called the Mandelbar set.
Abstract: The authors study the bifurcation diagram for iterates of the non-analytic maps z to fc(z)=z2+c. The set which they call the Mandelbar set, displays many similarities to the Mandelbrot set. However, bifurcations in MBAR can take place across boundary arcs rather than through boundary points.

66 citations

Journal ArticleDOI
TL;DR: It is revealed that the stability and bifurcation of high-dimension fractional ring-structured neural networks with multiple time delays heavily relies on the sum of time delays for the proposed networks, and the stability performance of such networks can be markedly improved by selecting carefully the total time delays.

66 citations


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Performance
Metrics
No. of papers in the topic in previous years
YearPapers
2023122
2022326
2021187
2020195
2019166
2018220