Abstract

This paper is devoted to local bifurcations of three-dimensional (3D) quadratic jerk system. First, we start by analysing the saddle-node bifurcation. Then we introduce the concept of canonical system. Next, we study the transcritial bifurcation of canonical system. Finally we study the zero-Hopf bifurcations of canonical system, which constitutes the core contributions of this paper. By averaging theory of first order, we prove that, at most, one limit cycle bifurcates from the zero-Hopf equilibrium. By averaging theory of second order, third order, and fourth order, we show that, at most, two limit cycles bifurcate from the equilibrium. Overall, this paper can help to increase our understanding of local behaviour in the jerk dynamical system with quadratic non-linearity.

Highlights

  • Consider the following system of ordinary differential equations dx= f ( x, μ), dt x ∈ Rn, μ ∈ Rs, (1)where f is sufficiently smooth

  • By perturbing an equilibrium inside the canonical system and using averaging theory up to fourth order, we give a partial answer to the problem

  • We characterize when the equilibrium localized at the origin of canonical system is a zero-Hopf equilibrium

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Summary

Introduction

In the case of λ3 = 0, small-amplitude limit cycles may be found in some neighborhood of the origin This phenomenon is called the zero-Hopf bifurcation. Some examples of Hopf bifurcation analysis can be found in [3,4]. Some examples of zero-Hopf bifurcation analysis can be found in [5,6,7]. Complex dynamics, such as self-excited and hidden chaotic attractors, can be found in [7,8,9]. In these studies, the qualitative features of equilibria play an important role in determining the complex behaviour of the system.

Saddle-Node Bifurcation
Canonical System
Transcritical Bifurcation
Zero-Hopf Bifurcations
The Perturbed System in Cartesian Coordinates
Linear Analysis
The Perturbed System in Cylindrical Coordinates
Standard Form of Fourth Order
First Order Averaging
Second Order Averaging
Third Order Averaging
Fourth Order Averaging
Conclusions
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