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Topological Entropy

 

To name a periodic orbit, we need only choose one of its cyclic permutations. The number of distinct periodic orbits grows rapidly with the length of the period. The symbolic names for all periodic orbits up to period eight are presented in Table 2.3.

   table2144
Table 2.3: Symbolic names for all periodic orbits up to period eight occurring in the quadratic map for tex2html_wrap_inline11237 . All names related by a cyclic permutation are equivalent.

A simple indicator of the complexity of a dynamical system is its topological entropy . In the one-dimensional setting, the topological entropy, which we denote by h, is a measure of the growth of the number of periodic cycles as a function of the symbol string length (period),

  equation2163

where tex2html_wrap_inline13159 is the number of distinct periodic orbits of length n. For instance, for the fully developed quadratic map, tex2html_wrap_inline13159 is of order tex2html_wrap_inline11478 , so

displaymath2169

The topological entropy is zero in the quadratic map for any value of tex2html_wrap_inline11903 below the accumulation point of the first period doubling cascade because tex2html_wrap_inline13159 is of order 2n in this regime. The topological entropy is a continuous, monotonically increasing function between these two parameter values. The topological entropy increases as periodic orbits are born by different bifurcation mechanisms. A strictly positive value for the topological entropy is sometimes taken as an indicator for the amount of ``topological chaos.'' 

In addition to its theoretical importance, symbolic dynamics will also be useful experimentally. It will help us to locate and organize the periodic orbit structure arising in real experiments. In Chapter 5 we will show how periodic orbits can be extracted and identified from experimental data. We will further describe how to construct a periodic orbit's symbolic name directly from experiments and how to compare this with the symbolic name found from a model, such as the quadratic map. Reference [14] describes an additional refinement of symbolic dynamics called kneading theory, which is useful for analyzing nonhyperbolic parameter regions, such as occur in the quadratic map for tex2html_wrap_inline13173 .

Notice that the ordering relation described by the alternating binary tree between the periodic orbits does not change for any tex2html_wrap_inline11237 . A simple observation, which will nevertheless be very important from an experimental viewpoint, is the following: this ordering relation, which is easy to calculate in the hyperbolic regime, is often maintained in the nonhyperbolic regime. This is the case, for instance, in the quadratic map for all tex2html_wrap_inline13177 . This observation is useful experimentally because it will give us a way to name and locate periodic orbits in an experimental system at parameter values where a nonhyperbolic strange attractor exists. That is, we can name and identify periodic orbits in a hyperbolic regime, where the system can be analyzed analytically, and then carry over the symbolic name for the periodic orbit from the hyperbolic regime to the nonhyperbolic regime, where the system is more difficult to study rigorously. Symbolic dynamics and periodic orbits will be our ``breach through which we may attempt to penetrate an area hitherto deemed inaccessible'' [15]. 

The reader might notice that our symbolic description of the quadratic map used very little that was specific to this map. The same description holds, in fact, for any single-humped (unimodal) map  of the interval. Indeed, the topological techniques we described here in terms of binary trees extend naturally to k symbols on k-ary trees when a map with many humps is encountered.

This concludes our introduction to the quadratic map. There are still many mysteries in this simple map that we have not yet begun to explore, such as the organization of the periodic window structure, but at least we can now continue our journey into nonlinear lands with words and pictures to describe what we might see [16].


next up previous contents
Next: Usage of Mathematica Up: Symbolic Coordinates Previous: Alternating Binary Tree

Nicholas B. Tufillaro
Mon Mar 3 01:58:02 PST 1997