2012
DOI: 10.1051/proc/201236014
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Doubling bifurcation of a closed invariant curve in 3D maps

Abstract: Abstract. The object of the present paper is to give a qualitative description of the bifurcation mechanisms associated with a closed invariant curve in three-dimensional maps, leading to its doubling, not related to a standard doubling of tori. We propose an explanation on how a closed invariant attracting curve, born via Neimark-Sacker bifurcation, can be transformed into a repelling one giving birth to a new attracting closed invariant curve which has doubled loops.

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Cited by 6 publications
(2 citation statements)
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“…Similar to quasiperiodic closed invariant curves, mode-locked periodic orbits also undergo doubling bifurcation. Such bifurcation was conjectured in [18] and can only be found in discrete maps of dimension greater than or equal to three. But such bifurcations are special in the sense that for such a bifurcation to occur, doubling of both stable and saddle periodic orbit is required.…”
Section: Saddle-node Connection Of Mode-locked Periodic Orbitmentioning
confidence: 99%
See 1 more Smart Citation
“…Similar to quasiperiodic closed invariant curves, mode-locked periodic orbits also undergo doubling bifurcation. Such bifurcation was conjectured in [18] and can only be found in discrete maps of dimension greater than or equal to three. But such bifurcations are special in the sense that for such a bifurcation to occur, doubling of both stable and saddle periodic orbit is required.…”
Section: Saddle-node Connection Of Mode-locked Periodic Orbitmentioning
confidence: 99%
“…The doubling bifurcations of closed invariant curves have important consequences on the dynamics of the system and can lead to the formation of Shilnikov attractor [15]. Recently, such doubling bifurcations were found in many dynamical systems [16][17][18][19][20], but to our knowledge such doubling bifurcations have not been discussed in neuron systems. Firstly in a neuron system, we show the phenomenon of doubling bifurcation of closed invariant curves.…”
Section: Introductionmentioning
confidence: 94%