Product Code Database
Example Keywords: data protection -the $11
   » » Wiki: Complex Dynamics
Tag Wiki 'Complex Dynamics'.
Tag

Complex dynamics, or holomorphic dynamics, is the study of obtained by iterating a mapping. This article focuses on the case of algebraic dynamics, where a or rational function is iterated. In geometric terms, that amounts to iterating a mapping from some algebraic variety to itself. The related theory of arithmetic dynamics studies iteration over the or the instead of the .


Dynamics in complex dimension 1
A simple example that shows some of the main issues in complex dynamics is the mapping f(z)=z^2 from the complex numbers C to itself. It is helpful to view this as a map from the complex projective line \mathbf{CP}^1 to itself, by adding a point \infty to the complex numbers. (\mathbf{CP}^1 has the advantage of being .) The basic question is: given a point z in \mathbf{CP}^1, how does its orbit (or forward orbit)
z,\; f(z)=z^2,\; f(f(z))=z^4, f(f(f(z)))=z^8,\; \ldots
behave, qualitatively? The answer is: if the absolute value | z| is less than 1, then the orbit converges to 0, in fact more than exponentially fast. If | z| is greater than 1, then the orbit converges to the point \infty in \mathbf{CP}^1, again more than exponentially fast. (Here 0 and \infty are superattracting fixed points of f, meaning that the of f is zero at those points. An attracting fixed point means one where the derivative of f has absolute value less than 1.)

On the other hand, suppose that |z|=1, meaning that z is on the unit circle in C. At these points, the dynamics of f is chaotic, in various ways. For example, for almost all points z on the circle in terms of , the forward orbit of z is in the circle, and in fact uniformly distributed on the circle. There are also infinitely many on the circle, meaning points with f^r(z)=z for some positive integer r. (Here f^r(z) means the result of applying f to z r times, f(f(\cdots(f(z))\cdots)).) Even at periodic points z on the circle, the dynamics of f can be considered chaotic, since points near z diverge exponentially fast from z upon iterating f. (The periodic points of f on the unit circle are repelling: if f^r(z)=z, the derivative of f^r at z has absolute value greater than 1.)

and showed in the late 1910s that much of this story extends to any complex algebraic map from \mathbf{CP}^1 to itself of degree greater than 1. (Such a mapping may be given by a polynomial f(z) with complex coefficients, or more generally by a rational function.) Namely, there is always a compact subset of \mathbf{CP}^1, the , on which the dynamics of f is chaotic. For the mapping f(z)=z^2, the Julia set is the unit circle. For other polynomial mappings, the Julia set is often highly irregular, for example a in the sense that its Hausdorff dimension is not an integer. This occurs even for mappings as simple as f(z)=z^2+c for a constant c\in\mathbf{C}. The is the set of complex numbers c such that the Julia set of f(z)=z^2+c is .

There is a rather complete classification of the possible dynamics of a rational function f\colon\mathbf{CP}^1\to \mathbf{CP}^1 in the Fatou set, the complement of the Julia set, where the dynamics is "tame". Namely, showed that each connected component U of the Fatou set is pre-periodic, meaning that there are natural numbers a such that f^a(U)=f^b(U). Therefore, to analyze the dynamics on a component U, one can assume after replacing f by an iterate that f(U)=U. Then either (1) U contains an attracting fixed point for f; (2) U is parabolic in the sense that all points in U approach a fixed point in the boundary of U; (3) U is a , meaning that the action of f on U is conjugate to an irrational rotation of the open unit disk; or (4) U is a , meaning that the action of f on U is conjugate to an irrational rotation of an open annulus.Milnor (2006), section 13. (Note that the "backward orbit" of a point z in U, the set of points in \mathbf{CP}^1 that map to z under some iterate of f, need not be contained in U.)


The equilibrium measure of an endomorphism
Complex dynamics has been effectively developed in any dimension. This section focuses on the mappings from complex projective space \mathbf{CP}^n to itself, the richest source of examples. The main results for \mathbf{CP}^n have been extended to a class of from any projective variety to itself.Guedj (2010), Theorem B. Note, however, that many varieties have no interesting self-maps.

Let f be an endomorphism of \mathbf{CP}^n, meaning a morphism of algebraic varieties from \mathbf{CP}^n to itself, for a positive integer n. Such a mapping is given in homogeneous coordinates by

f(z_0,\ldots,z_n)=f_0(z_0,\ldots,z_n),\ldots,f_n(z_0,\ldots,z_n)
for some homogeneous polynomials f_0,\ldots,f_n of the same degree d that have no common zeros in \mathbf{CP}^n. (By Chow's theorem, this is the same thing as a mapping from \mathbf{CP}^n to itself.) Assume that d is greater than 1; then the degree of the mapping f is d^n, which is also greater than 1.

Then there is a unique probability measure \mu_f on \mathbf{CP}^n, the equilibrium measure of f, that describes the most chaotic part of the dynamics of f. (It has also been called the Green measure or measure of maximal entropy.) This measure was defined by Hans Brolin (1965) for polynomials in one variable, by Alexandre Freire, Artur Lopes, Ricardo Mañé, and for n=1 (around 1983), and by John Hubbard, Peter Papadopol, , and in any dimension (around 1994).Dinh & Sibony (2010), "Dynamics ...", Theorem 1.7.11. The small Julia set J^*(f) is the support of the equilibrium measure in \mathbf{CP}^n; this is simply the Julia set when n=1.


Examples
  • For the mapping f(z)=z^2 on \mathbf{CP}^1, the equilibrium measure \mu_f is the (the standard measure, scaled to have total measure 1) on the unit circle |z|=1.
  • More generally, for an integer d>1, let f\colon \mathbf{CP}^n\to\mathbf{CP}^n be the mapping
:f(z_0,\ldots,z_n)=z_0^d,\ldots,z_n^d.
Then the equilibrium measure \mu_f is the Haar measure on the n-dimensional \{1,z_1,\ldots,z_n: |z_1|=\cdots=|z_n|=1\}. For more general holomorphic mappings from \mathbf{CP}^n to itself, the equilibrium measure can be much more complicated, as one sees already in complex dimension 1 from pictures of Julia sets.


Characterizations of the equilibrium measure
A basic property of the equilibrium measure is that it is invariant under f, in the sense that the pushforward measure f_*\mu_f is equal to \mu_f. Because f is a , the pullback measure f^*\mu_f is also defined, and \mu_f is totally invariant in the sense that f^*\mu_f=\deg(f)\mu_f.

One striking characterization of the equilibrium measure is that it describes the asymptotics of almost every point in \mathbf{CP}^n when followed backward in time, by Jean-Yves Briend, Julien Duval, , and Sibony. Namely, for a point z in \mathbf{CP}^n and a positive integer r, consider the probability measure (1/d^{rn})(f^r)^*(\delta_z) which is evenly distributed on the d^{rn} points w with f^r(w)=z. Then there is a subset E\subsetneq \mathbf{CP}^n such that for all points z not in E, the measures just defined converge weakly to the equilibrium measure \mu_f as r goes to infinity. In more detail: only finitely many closed complex subspaces of \mathbf{CP}^n are totally invariant under f (meaning that f^{-1}(S)=S), and one can take the exceptional set E to be the unique largest totally invariant closed complex subspace not equal to \mathbf{CP}^n.Dinh & Sibony (2010), "Dynamics ...", Theorem 1.4.1.

Another characterization of the equilibrium measure (due to Briend and Duval) is as follows. For each positive integer r, the number of periodic points of period r (meaning that f^r(z)=z), counted with multiplicity, is (d^{r(n+1)}-1)/(d^r-1), which is roughly d^{rn}. Consider the probability measure which is evenly distributed on the points of period r. Then these measures also converge to the equilibrium measure \mu_f as r goes to infinity. Moreover, most periodic points are repelling and lie in J^*(f), and so one gets the same limit measure by averaging only over the repelling periodic points in J^*(f).Dinh & Sibony (2010), "Dynamics ...", Theorem 1.4.13. There may also be repelling periodic points outside J^*(f).Fornaess & Sibony (2001), Theorem 4.3.

The equilibrium measure gives zero mass to any closed complex subspace of \mathbf{CP}^n that is not the whole space.Dinh & Sibony (2010), "Dynamics ...", Proposition 1.2.3. Since the periodic points in J^*(f) are dense in J^*(f), it follows that the periodic points of f are in \mathbf{CP}^n. A more algebraic proof of this Zariski density was given by Najmuddin Fakhruddin.Fakhruddin (2003), Corollary 5.3. Another consequence of \mu_f giving zero mass to closed complex subspaces not equal to \mathbf{CP}^n is that each point has zero mass. As a result, the support J^*(f) of \mu_f has no isolated points, and so it is a .

The support J^*(f) of the equilibrium measure is not too small, in the sense that its Hausdorff dimension is always greater than zero. In that sense, an endomorphism of complex projective space with degree greater than 1 always behaves chaotically at least on part of the space. (There are examples where J^*(f) is all of \mathbf{CP}^n.Milnor (2006), Theorem 5.2 and problem 14-2; Fornaess (1996), Chapter 3.) Another way to make precise that f has some chaotic behavior is that the topological entropy of f is always greater than zero, in fact equal to n\log d, by Mikhail Gromov, Michał Misiurewicz, and Feliks Przytycki.Dinh & Sibony (2010), "Dynamics ...", Theorem 1.7.1.

For any continuous endomorphism f of a compact metric space X, the topological entropy of f is equal to the maximum of the measure-theoretic entropy (or "metric entropy") of all f-invariant measures on X. For a holomorphic endomorphism f of \mathbf{CP}^n, the equilibrium measure \mu_f is the unique invariant measure of maximal entropy, by Briend and Duval. This is another way to say that the most chaotic behavior of f is concentrated on the support of the equilibrium measure.

Finally, one can say more about the dynamics of f on the support of the equilibrium measure: f is and, more strongly, mixing with respect to that measure, by Fornaess and Sibony.Dinh & Sibony (2010), "Dynamics ...", Theorem 1.6.3. It follows, for example, that for almost every point with respect to \mu_f, its forward orbit is uniformly distributed with respect to \mu_f.


Lattès maps
A Lattès map is an endomorphism f of \mathbf{CP}^n obtained from an endomorphism of an by dividing by a . In this case, the equilibrium measure of f is absolutely continuous with respect to on \mathbf{CP}^n. Conversely, by , François Berteloot, and Christophe Dupont, the only endomorphisms of \mathbf{CP}^n whose equilibrium measure is absolutely continuous with respect to Lebesgue measure are the Lattès examples.Berteloot & Dupont (2005), Théorème 1. That is, for all non-Lattès endomorphisms, \mu_f assigns its full mass 1 to some of Lebesgue measure 0.

In dimension 1, more is known about the "irregularity" of the equilibrium measure. Namely, define the Hausdorff dimension of a probability measure \mu on \mathbf{CP}^1 (or more generally on a smooth manifold) by

\dim(\mu)=\inf \{\dim_H(Y):\mu(Y)=1\},
where \dim_H(Y) denotes the Hausdorff dimension of a Borel set Y. For an endomorphism f of \mathbf{CP}^1 of degree greater than 1, Zdunik showed that the dimension of \mu_f is equal to the Hausdorff dimension of its support (the Julia set) if and only if f is conjugate to a Lattès map, a Chebyshev polynomial (up to sign), or a power map f(z)=z^{\pm d} with d\geq 2.Zdunik (1990), Theorem 2; Berteloot & Dupont (2005), introduction. (In the latter cases, the Julia set is all of \mathbf{CP}^1, a closed interval, or a circle, respectively.Milnor (2006), problem 5-3.) Thus, outside those special cases, the equilibrium measure is highly irregular, assigning positive mass to some closed subsets of the Julia set with smaller Hausdorff dimension than the whole Julia set.


Automorphisms of projective varieties
More generally, complex dynamics seeks to describe the behavior of rational maps under iteration. One case that has been studied with some success is that of automorphisms of a complex projective variety X, meaning isomorphisms f from X to itself. The case of main interest is where f acts nontrivially on the singular cohomology H^*(X,\mathbf{Z}).

Gromov and Yosef Yomdin showed that the topological entropy of an endomorphism (for example, an automorphism) of a smooth complex projective variety is determined by its action on cohomology.Cantat (2000), Théorème 2.2. Explicitly, for X of complex dimension n and 0\leq p\leq n, let d_p be the of f acting by pullback on the group H^{p,p}(X)\subset H^{2p}(X,\mathbf{C}). Then the topological entropy of f is

h(f)=\max_p \log d_p.
(The topological entropy of f is also the logarithm of the spectral radius of f on the whole cohomology H^*(X,\mathbf{C}).) Thus f has some chaotic behavior, in the sense that its topological entropy is greater than zero, if and only if it acts on some cohomology group with an of absolute value greater than 1. Many projective varieties do not have such automorphisms, but (for example) many and K3 surfaces do have such automorphisms.Cantat (2010), sections 7 to 9.

Let X be a compact Kähler manifold, which includes the case of a smooth complex projective variety. Say that an automorphism f of X has simple action on cohomology if: there is only one number p such that d_p takes its maximum value, the action of f on H^{p,p}(X) has only one eigenvalue with absolute value d_p, and this is a simple eigenvalue. For example, showed that every automorphism of a compact Kähler surface with positive topological entropy has simple action on cohomology.Cantat (2014), section 2.4.3. (Here an "automorphism" is complex analytic but is not assumed to preserve a Kähler metric on X. In fact, every automorphism that preserves a metric has topological entropy zero.)

For an automorphism f with simple action on cohomology, some of the goals of complex dynamics have been achieved. Dinh, Sibony, and Henry de Thélin showed that there is a unique invariant probability measure \mu_f of maximal entropy for f, called the equilibrium measure (or Green measure, or measure of maximal entropy).De Thélin & Dinh (2012), Theorem 1.2. (In particular, \mu_f has entropy \log d_p with respect to f.) The support of \mu_f is called the small Julia set J^*(f). Informally: f has some chaotic behavior, and the most chaotic behavior is concentrated on the small Julia set. At least when X is projective, J^*(f) has positive Hausdorff dimension. (More precisely, \mu_f assigns zero mass to all sets of sufficiently small Hausdorff dimension.)Dinh & Sibony (2010), "Super-potentials ...", section 4.4.


Kummer automorphisms
Some abelian varieties have an automorphism of positive entropy. For example, let E be a complex and let X be the abelian surface E\times E. Then the group GL(2,\mathbf{Z}) of invertible 2\times 2 integer matrices acts on X. Any group element f whose trace has absolute value greater than 2, for example \begin{pmatrix}2&1\\1&1\end{pmatrix}, has spectral radius greater than 1, and so it gives a positive-entropy automorphism of X. The equilibrium measure of f is the Haar measure (the standard Lebesgue measure) on X.Cantat & Dupont (2020), section 1.2.1.

The Kummer automorphisms are defined by taking the quotient space by a finite group of an abelian surface with automorphism, and then to make the surface smooth. The resulting surfaces include some special K3 surfaces and rational surfaces. For the Kummer automorphisms, the equilibrium measure has support equal to X and is outside finitely many curves. Conversely, Cantat and Dupont showed that for all surface automorphisms of positive entropy except the Kummer examples, the equilibrium measure is not absolutely continuous with respect to Lebesgue measure.Cantat & Dupont (2020), Main Theorem. In this sense, it is usual for the equilibrium measure of an automorphism to be somewhat irregular.


Saddle periodic points
A periodic point z of f is called a saddle periodic point if, for a positive integer r such that f^r(z)=z, at least one eigenvalue of the derivative of f^r on the tangent space at z has absolute value less than 1, at least one has absolute value greater than 1, and none has absolute value equal to 1. (Thus f is expanding in some directions and contracting at others, near z.) For an automorphism f with simple action on cohomology, the saddle periodic points are dense in the support J^*(f) of the equilibrium measure \mu_f. On the other hand, the measure \mu_f vanishes on closed complex subspaces not equal to X. It follows that the periodic points of f (or even just the saddle periodic points contained in the support of \mu_f) are Zariski dense in X.

For an automorphism f with simple action on cohomology, f and its inverse map are ergodic and, more strongly, mixing with respect to the equilibrium measure \mu_f.Dinh & Sibony (2010), "Super-potentials ...", Theorem 4.4.2. It follows that for almost every point z with respect to \mu_f, the forward and backward orbits of z are both uniformly distributed with respect to \mu_f.

A notable difference with the case of endomorphisms of \mathbf{CP}^n is that for an automorphism f with simple action on cohomology, there can be a nonempty open subset of X on which neither forward nor backward orbits approach the support J^*(f) of the equilibrium measure. For example, Eric Bedford, Kyounghee Kim, and constructed automorphisms f of a smooth projective rational surface with positive topological entropy (hence simple action on cohomology) such that f has a Siegel disk, on which the action of f is conjugate to an irrational rotation.Cantat (2010), Théorème 9.8. Points in that open set never approach J^*(f) under the action of f or its inverse.

At least in complex dimension 2, the equilibrium measure of f describes the distribution of the isolated periodic points of f. (There may also be complex curves fixed by f or an iterate, which are ignored here.) Namely, let f be an automorphism of a compact Kähler surface X with positive topological entropy h(f)=\log d_1. Consider the probability measure which is evenly distributed on the isolated periodic points of period r (meaning that f^r(z)=z). Then this measure converges weakly to \mu_f as r goes to infinity, by Eric Bedford, Lyubich, and John Smillie.Cantat (2014), Theorem 8.2. The same holds for the subset of saddle periodic points, because both sets of periodic points grow at a rate of (d_1)^r.


See also
  • Dynamics in complex dimension 1
    • Complex quadratic polynomial
    • Infinite compositions of analytic functions
    • Montel's theorem
    • Poincaré metric
    • Riemann mapping theorem
    • Carathéodory's theorem (conformal mapping)
    • Böttcher's equation
    • Yoccoz puzzles

  • Related areas of dynamics


Notes

External links

Page 1 of 1
1
Page 1 of 1
1

Account

Social:
Pages:  ..   .. 
Items:  .. 

Navigation

General: Atom Feed Atom Feed  .. 
Help:  ..   .. 
Category:  ..   .. 
Media:  ..   .. 
Posts:  ..   ..   .. 

Statistics

Page:  .. 
Summary:  .. 
1 Tags
10/10 Page Rank
5 Page Refs
1s Time