2022
DOI: 10.3390/pr10010127
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Localizing Bifurcations in Non-Linear Dynamical Systems via Analytical and Numerical Methods

Abstract: In this paper, we study the bifurcations of non-linear dynamical systems. We continue to develop the analytical approach, permitting the prediction of the bifurcation of dynamics. Our approach is based on implicit (approximate) amplitude-frequency response equations of the form FΩ,A;c̲=0, where c̲ denotes the parameters. We demonstrate that tools of differential geometry make possible the discovery of the change of differential properties of solutions of the equation FΩ,A;c̲=0. Such qualitative changes of the … Show more

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Cited by 1 publication
(5 citation statements)
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“…Therefore, solving Eqs. (11) numerically for several values of F 0 we easily find that for F 0 = 0.301 007 there is indeed a double root: Ω = 0.597 114, A 0 = 0.679 284 and Ω = 0.597 114, A 0 = 1. 411 787.…”
Section: Number Of Solutions Of Eq (5) For a Given Value Of ωmentioning
confidence: 89%
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“…Therefore, solving Eqs. (11) numerically for several values of F 0 we easily find that for F 0 = 0.301 007 there is indeed a double root: Ω = 0.597 114, A 0 = 0.679 284 and Ω = 0.597 114, A 0 = 1. 411 787.…”
Section: Number Of Solutions Of Eq (5) For a Given Value Of ωmentioning
confidence: 89%
“…Working in the implicit function framework [10,11], we have computed in Subsection 4.1, using the (approximate) steady-state solution obtained in [1,6,9], the jump manifold 13, comprising information about all jumps in the dynamical system 1. Our formalism, described in Section 4 -built on an idea to use a differential condition to detect vertical tangencies, due to Kalmár-Nagy and Balachandran [8] -can be applied to arbitrary steady-state solution.…”
Section: Discussionmentioning
confidence: 99%
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