Generalized snap-back repeller and semi-conjugacy to shift operators of piecewise continuous transformations

In this paper, we attempt to clarify an open problem related to a generalization of the snap-back repeller. Constructing a semi-conjugacy from the finite product of a transformation $f:\mathbb{R}^{n}\rightarrow \mathbb{R}^{n}$ on an invariant set $\Lambda$ to a sub-shift of the finite type on a $w$-symbolic space, we show that the corresponding transformation associated with the generalized snap-back repeller on $\mathbb{R}^{n}$ exhibits chaotic dynamics in the sense of having a positive topological entropy. The argument leading to this conclusion also shows that a certain kind of degenerate transformations, admitting a point in the unstable manifold of a repeller mapping back to the repeller, have positive topological entropies on the orbits of their invariant sets. Furthermore, we present two feasible sufficient conditions for obtaining an unstable manifold. Finally, we provide two illustrative examples to show that chaotic degenerate transformations are omnipresent.

[1]  R. Devaney An Introduction to Chaotic Dynamical Systems , 1990 .

[2]  C. Robinson Dynamical Systems: Stability, Symbolic Dynamics, and Chaos , 1994 .

[3]  J. Yorke,et al.  Period Three Implies Chaos , 1975 .

[4]  F. R. Marotto Snap-back repellers imply chaos in Rn , 1978 .

[5]  Sze-Bi Hsu,et al.  Snapback repellers as a cause of chaotic vibration of the wave equation with a van der Pol boundary condition and energy injection at the middle of the span , 1998 .

[6]  F. R. Marotto On redefining a snap-back repeller , 2005 .

[7]  Guanrong Chen,et al.  Discrete chaos in Banach spaces , 2005 .

[8]  Guanrong Chen,et al.  Chaos of discrete dynamical systems in complete metric spaces , 2004 .

[9]  Sze-Bi Hsu,et al.  Nonisotropic Spatiotemporal Chaotic Vibration of the Wave equation due to Mixing Energy Transport and a van der Pol Boundary Condition , 2002, Int. J. Bifurc. Chaos.

[10]  Kazuyuki Aihara,et al.  Strange attractors in chaotic neural networks , 2000 .

[11]  K. Aihara,et al.  Chaos and asymptotical stability in discrete-time neural networks , 1997, chao-dyn/9701020.

[12]  J. Ruan,et al.  Chaotic dynamics of an integrate-and-fire circuit with periodic pulse-train input , 2003 .

[13]  Rufus Bowen,et al.  On axiom A diffeomorphisms , 1975 .

[14]  Douglas Lind,et al.  An Introduction to Symbolic Dynamics and Coding , 1995 .

[15]  Guanrong Chen,et al.  Heteroclinical Repellers Imply Chaos , 2006, Int. J. Bifurc. Chaos.

[16]  Guanrong Chen,et al.  Single-Input Multi-Output State-Feedback Chaotification of General Discrete Systems , 2004, Int. J. Bifurc. Chaos.

[17]  W. D. Melo,et al.  ONE-DIMENSIONAL DYNAMICS , 2013 .

[18]  Weirui Zhao,et al.  On the Mathematical Clarification of the SNAP-Back-Repeller in High-Dimensional Systems and Chaos in a Discrete Neural Network Model , 2002, Int. J. Bifurc. Chaos.

[19]  Changpin Li,et al.  On the Marotto–Li–Chen theorem and its application to chaotification of multi-dimensional discrete dynamical systems , 2003 .

[20]  Guanrong Chen,et al.  Feedback anticontrol of discrete chaos , 1998 .