Physica A: Statistical Mechanics and its Applications
Rational dynamical zeta functions for birational transformations
Introduction
To study the complexity of continuous, or discrete, dynamical systems, a large number of concepts have been introduced [1], [2]. A non-exhaustive list includes the Kolmogorov–Sinai metric entropy [3], [4], the Adler–Konheim–McAndrew topological entropy [5], the Arnold complexity [6], the Lyapounov characteristic exponents, the various fractal dimensions, [7], [8] the Feigenbaum's numbers of period-doubling cascades [9], [10], etc. Many authors have tried to study and discuss the relations between these various notions in an abstract framework [11], [12]. Inequalities have been shown, for instance the metric entropy is bounded by the topological entropy, let us also mention the Kaplan–Yorke relation [13], [14]. Furthermore, many specific dynamical systems have been introduced enabling to see these notions at work. Some of the most popular are the Lorentz system [15], the baker map [16], the logistic map [17], the Henon map [18]. Each of these systems has been useful to understand and exemplify the previous complexity measures.
Here, we introduce another two-parameter family of mapping of two variables, originating from lattice statistical mechanics, for which much can be said. In particular, we will conjecture an exact algebraic value for the exponential of the topological entropy and for the asymptotic of the Arnold complexity. Furthermore, these two measures of complexity will be found to be equal for all the values of the two parameters, generic or not (the notion of genericity is explained below). A fundamental distinction must be made between the previously mentioned complexity measures according to their invariance under certain classes of transformations. One should distinguish, at least, two different sets of complexity measures, the ones which are invariant under the larger classes of variables transformations, like the topological entropy or the Arnold complexity [6], and the other measures of complexity which also have invariance properties, but under a “less large” set of transformations, and are therefore more sensitive to the details of the mapping (for instance they will depend on the metric).
We now introduce the following two parameters family of birational transformations :which can also be written projectively:As far as complexity calculations are concerned, the α=0 case is singled out. In that case, it is convenient to use a change of variables (see Appendix A) to get the very simple form kε:or on its homogeneous counterpart:These transformations derive from a transformation acting on a q×q matrices M [20]:where t permutes the entries with and I is the homogeneous inverse: I(M)=det(M)·M−1. Transformations of this type, generated by the composition of permutations of the entries and matrix inverse, naturally emerge in the analysis of lattice statistical mechanics symmetries [19].
These transformations turn out to provide a set of examples for which various conjectures can be made. This is the aim of this paper which is organized as follows: in the first part of the paper we exactly compute the growth of the complexity of the first successive iterations (degree of the successive expressions). From these integers, we conjecture various algebraic values for the complexity. Different cases, corresponding respectively to α=0 and α≠0, are distinguished in two subsections. The results of these sections are confirmed by a semi-numerical method we introduce. In the second part of the paper we address the problem of evaluating another measure of the complexity, namely the topological entropy. This is done computing formally the first terms of the expansion of the generating function of the number of fixed points. This leads us to conjecture rational expressions for these generating functions. The same singled out (α,ε)-values as for the complexity growth appear, and are separately analyzed also in two subsections. The last section is devoted to a discussion about a possible “diffeomorphism of the torus” interpretation for the rationality of the generating functions we conjecture.
Section snippets
The complexity growth
The correspondence [20] between transformations Kq and , more specifically between Kq2 and , is given in Appendix A. It will be shown below that, beyond this correspondence, Kq2 and share properties concerning the complexity. Transformation Kq is homogeneous and of degree (q−1) in the q2 homogeneous entries. When performing the nth iterate one expects a growth of the degree of each entry as (q−1)n. It turns out that, at each step of the iteration, some factorization of all the
Dynamical zeta function and topological entropy
It is well known that the fixed points of the successive powers of a mapping are extremely important in order to understand the complexity of the phase space. A lot of work has been devoted to study these fixed points (elliptic or saddle fixed points, attractors, basin of attraction, etc.), and to analyze related concepts (stable and unstable manifolds, homoclinic points, etc.). We will here follow another point of view and study the generating function of the number of fixed points. By analogy
Comments and speculations
Based on analytical and semi-numerical calculations we have conjectured rational expressions with integer coefficients for the generating functions of the complexity and for the dynamical zeta functions for various values of the parameters of a family of birational transformations. According to these conjectures, the growth complexity and the exponential of the topological entropy are algebraic numbers. Moreover, these two numbers are equal for all the values of the parameters.
From a general
Acknowledgements
One of us (JMM) would like to thank P. Lochak and J-P. Marco for illuminating discussions on dynamical systems. We thank M. Bellon and C. Viallet for complexity discussions. We thank B. Grammaticos and A. Ramani for many discussions on the non-generic values of ε. S. Boukraa would like to thank the CMEP for financial support.
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2003, Physica D: Nonlinear PhenomenaCitation Excerpt :When one uses recursion (C.3) of Appendix C to evaluate this degree growth-complexity, one recovers exactly the same singularity as in (19)–(21) (see Appendix C for more details). It is interesting to compare the previous results, giving the generating functions for the successive degrees of the iterates (Arnold complexity or growth-complexity), with the corresponding dynamical zeta functions to see if the singularities of these two sets of generating functions identify, thus yielding an identification between these two (topological) complexities: the Arnold complexity and the topological entropy [26–28]. However, all these results also indicate the same singularities as those of the degree generating functions (20) and (21), namely 1−2x+xM+1 and 1−2x+xM+1+xN+1−xM+N.
Real topological entropy versus metric entropy for birational measure-preserving transformations
2000, Physica D: Nonlinear PhenomenaCitation Excerpt :Let us thus consider the birational transformation (1) for ϵ=3. This value of ϵ is singled out as far as the phase portrait of transformation (1) is concerned: instead of a quite chaotic phase portrait in the (y,z) variables (see Fig. 3 in [33]), the iteration of kϵ for ϵ=3 gives a very regular phase portrait in the (y,z)-plane, especially around the fixed point of kϵ for ϵ=3: (y,z)=(−1,1). Fig. 19 seems to indicates a structural instability [75] of a slightly different nature than the one which pops out in Figs. 13 and 14 above.
Real Arnold complexity versus real topological entropy for a one-parameter-dependent two-dimensional birational transformation
2000, Physica A: Statistical Mechanics and its ApplicationsCitation Excerpt :This clearly needs further analysis. Let us recall, again, the identification between h, the (exponential of the) topological entropy, and λ, the (asymptotic of the) Arnold complexity [2]. Similarly to the topological entropy, the Arnold complexity can be “adapted” to define a “real Arnold complexity”.
Growth-complexity spectrum of some discrete dynamical systems
1999, Physica D: Nonlinear PhenomenaA birational mapping with a strange attractor: Post-critical set and covariant curves
2009, Journal of Physics A: Mathematical and TheoreticalOn the complexity of some birational transformations
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- 1
E-mail: [email protected].
- 2
E-mail: [email protected].