Some advances on global analysis of nonlinear systems
Introduction
Global analysis was regarded as a complex and difficult research topic for nonlinear dynamics systems [1]. Recently, since the chaos and more new phenomena are found, the global analysis in nonlinear dynamics has been given challenging research contents. Generally, in nonlinear dynamics, global analysis means the study of the attractors and their basins of attraction. Sometimes the unstable invariant set study is also involved, and a lot of complex dynamical behaviors and new phenomena relevant to the global region motion are also concerned.
The invariant set of a dynamical system is a more general entity in nonlinear dynamics. One important type of the invariant sets is the attractor which represents an asymptotically stable motion, while the unstable invariant sets possess more complex properties and can affect the global dynamical behaviors and the characteristics of the dynamical systems. There are various kinds of the unstable invariant sets, for examples, a variety of saddles, simple unstable invariant sets, invariant manifolds of saddles and fractal basin boundaries, etc. Chaotic saddle, also known as nonattracting chaotic set, usually leads to chaotic transients, fractal basin boundary and chaotic scattering [2], and the mechanism of a kind of discontinuous bifurcation, crisis, is relevance to the collision of the periodic saddle or the chaotic saddle with a chaotic attractor [3], [4], [5].
Recently, a number of scholars provided more new results in these problems. Sweet et al. [6] provided a general method to locate and visualize chaotic saddle, a common phenomenon in higher dimensional dynamical systems, plane Couette flow. Lai et al. [7] indicated that the symbolic representations of controlled chaotic orbits produced by signal generators can be used for communicating with chaotically behaving signal generators, and can be robust against noise. Jacobs et al. [8] studied on communicating with chaos for being able to determine numerically the topological entropy for chaotic invariant sets. Lai et al. [9] presented that as a system parameter changes, chaotic saddles can evolve via an infinite number of homoclinic or heteroclinic tangencies of their stable and unstable manifolds, and the topological entropy and the fractal dimension of chaotic saddles obey a universal behavior of exhibiting a devil-staircase characteristic. Skufca et al. [10] studied the problem of chaos edge in a parallel shear flow. Rempel and Chain [11] indicated that nonattracting chaotic sets (chaotic saddles) are shown to be responsible for transient and intermittent dynamics in a nonlinear regularized long-wave equation relevant to plasma and fluid studies. Chain et al. [12] revealed and discussed the coexistence of chaos, crisis-induced intermittency, and the chaotic saddles in the business cycles model of the complex economic system. Carr [13] described that the onset of global heteroclinic connections forms the precursor topology of localized homoclinic chaos in driven class-B lasers. Robert [14] examined different types of tangencies of stable and unstable manifolds from orbits of pre-existing invariant sets in the dissipative invertible plane maps, connecting to the explosion of chaotic sets. Banerjee [15] reported the coexisting attractors with fractal basin boundaries in the voltage mode controlled buck converter.
Few results of the global dynamics can be obtained analytically because it is very difficult. Then, the numerical analysis for the global dynamics is usually the main approach.
An effective numerical method for global analysis is the cell mapping method provided and developed systematically by Hsu [1], including simple cell mapping, generalized cell mapping, and partially ordered set digraph generalized cell mapping. Following these ideas a number of scholars improved the cell mapping method. At same times, the bifurcations generated from qualitative changes of the attractors and their basins of attraction may induce many new dynamical problems.
It is known that many new phenomena and complex behaviors of nonlinear dynamical systems have relevance to global orbits and global dynamics. For examples, fractal basin boundary of chaotic attractor, Wada basin boundary, infinite unstable periodic orbits embedded in chaotic attractor, chaotic itineracy of high dimensional system, chaotic saddle and transient chaos, discontinuous bifurcation and crises, and riddled basins of attraction, etc.
The global stochastic analysis of noisy system is also paid attention to recently.
Global analysis captures both the interest and the imagination of the wide communities in various fields, such as in mathematics, physics, meteorology, life science, ecology, computational science, engineering, medicine, and others.
In this summary paper, the emphasis is put mainly on the development of concerning global dynamics problems in China.
Section snippets
Analytical methods for global analysis of nonlinear dynamical systems
The analytical analysis of the global dynamical behaviors is a difficult research topic and is important to nonlinear dynamics. The appearance of homoclinic points or heteroclinic points is regarded as a main global bifurcation for that it concerns the qualitative changes of global trajectories. An analytical method, Melnikov method, has been presented to study this problem initially. Later some excellent theoretical advances, like Kovačič–Wiggins global perturbation method, Haller–Wiggins
Cell mapping methods
The numerical analysis for global analysis is the main approach in nonlinear dynamics. Besides direct numerical integration, there is an effective method for global analysis of nonlinear systems, the cell mapping method.
In the early 1980’s, Hsu provided simple cell mapping methodology (SCM) and generalized cell mapping methodology (GCM) for finding the attractors and the basins of attraction of attractors [27], [28]. Cell mapping method is a numerical method in which the discreteness of the
Attractors and basins of attraction
Some new results of determining the multiple attractors and their basins of attraction were studied early. The domains of attraction of two limit cycle attractors of four-dimensional nonlinear dynamical system were found using simple cell mapping method in 1985 by Xu et al. [41]. Xu et al. presented that with the change of the bifurcation parameter the gradual evolvement of basins of attraction in size reaching to a critical case can be the mechanism of a kind of bifurcation characterized by
Saddle sets and discontinuous bifurcations
Many new phenomena and complex behaviors of nonlinear dynamical systems, for instances, the discontinuous bifurcation, crises, have relevance to global orbits, chaotic saddle, transient chaos, and fractal basin boundary of the nonlinear dynamical systems, especially the origin and the evolution of theirs. Recently, since the generalized cell mapping partial ordered set and digraph method which has been developed can effectively find and determine the unstable invariant sets of an ordinary
Wada basin boundary
Wada basin boundary is a new concept in nonlinear dynamics. Nusse and Yorke demonstrated that a point on the basin boundary is a Wada point if every open neighborhood of this point has a nonempty intersection with at least three different basins. And the boundary of a basin is called a Wada basin boundary, if all of its points are Wada points [50].
Using the generalized cell-mapping digraph method, Hong and Xu [51] studied bifurcations governing the escape of the periodically forced oscillators
Riddled basins
Riddled basin of attractor (riddled basin of attraction) which was first reported by Alexander et al. on 1992 [52]. It is a basin which has positive Lebesgue measure with no open subsets. Meanwhile, Milnor found that different from the general attractors, the attractor with riddled basin are the attractor of Milnor meaning, which just attracts a positive Lebesgue measure set [53], and in the neighborhood region there are enough points do not be attracted to this attractor. The occurring
Unstable periodic orbits embedded in chaotic attractors
It was revealed that there are infinite unstable periodic orbits embedded in a chaotic attractor, which form the skeleton of the chaotic attractor. Hence, through examining the positions, characters, and numbers of the unstable periodic orbits, the features of the chaotic attractor can be expressed and the characteristic quantities, Lyapunov exponents fractal dimensions, entropies, etc. can be calculated [58], [59]. Finding the periodic orbits of the dynamical systems is an important task in
Stochastic global dynamical behaviors
The global stochastic analysis of the noisy nonlinear system is also paid attention to recently.
Gong and Xu analyzed the responses of an excitable FitzHugh–Nagumo neuron model to a weak periodic signal with and without noise and focused the attention on the relationship between the global dynamics of the forced excitable neuron model and stochastic resonance of this neuron model. The results show that for some parameters the forced FitzHugh–Nagumo neuron model has two attractors: the
Applications
The theory and the method of global analysis of nonlinear systems have been used in wide disciplines of science and engineering such as mechanical engineering, electric engineering, control engineering, meteorological phenomena, physics, living science, neural science, etc.
Xu and Wen reported that a new type of global bifurcation in Hénon map depending on the changes of the co-existence of attractors and the boundary crisis was provided [67].
Ding and Chen used the cell mapping method to study
Conclusion
It is seen that the global analysis of nonlinear dynamical systems is the research forefront of the nonlinear dynamics. The global analysis of nonlinear systems is concerned and applied in wide scientific and engineering fields, for which numerous works are reported. Emphasis in this summary is put mainly on the development in this global dynamics field in China.
Acknowledgment
The author acknowledges the financial support of National Natural Science Foundation (Key) of China, Grant No. 10432010.
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