Introduction to dynamics

Dynamics is the study of iterations. Given a map T:XX one seeks in dynamics to understand for points x in X the sequence x,T(x),T(T(x)),T(T(T(x))),T(T(T(T(x)))), obtained by repeated application of T. The above sequence is known as the orbit of x. For brevity we write Tn(x) for the point obtained from x by n application of T.

Exactly what it means to "understand" the sequence depends on the context. For example, if X is a topological space then one might want to know how the closure {Tn(x):nN} of the orbit of x fluctuates as x varies, or how it it influenced by the properties of the map T.

Ergodic theory is about the probabilistic and statistical properties of dynamical systems. The prototypical quantity in the statistical analysis of dynamical systems is the frequency |{1nN:Tn(x)E}|N with which the orbit belongs to a given set EX. The beginnings of ergodic theory were in the analysis of such frequencies in situations where the map T was related to problems in statistical physics.

The standard context in ergodic theory is that X is a space equipped with a probability measure. Thus we have a σ-algebra B on X and a measure μ on B with the property that μ(X)=1. One assumes that the map T:XX is (B,B) measurable and, crucially, that the measure μ is T-invariant. By this is meant that T does not change the sizes of subsets of X in the sense that μ(T1(B))=μ(B) for all BB. If one imagines the application of T as advancing the status of all points in X by a single unit of time and attributes a probabilistic meaning to the output of μ then we can understand the above invariance in the following terms: an event is no more or less likely today than it was yesterday.

Over the past sixty years there has been a great deal of progress in abstract ergodic theory and ergodic theory has made tremendous contributions to other areas of mathematics. Here are some highlights.

Our first dynamical system

Let us begin to study dynamical systems with a specific example. We will take X=[0,1) and define T(x)=x+αmod1 where we fix the real paramater α in advance. We can immediately calculate that Tn(x)=x+nαmod1 for all nN. We see the orbits of T are closely related to the number-theoretic properties of the sequence nαmod1.

Before we delve into ergodic theory, let us understand these orbits topologically. We will do this by equipping X with the metric d(x,y)=min{|xy|,1|xy|} in which the sequence n11n converges to zero.

First let us ask whether the orbit orb(x,T)={Tn(x):nN} can ever contain the point x itself. Suppose therefore that x=Tn(x) for some nN. This means x=x+nαmod1 and there must then be some kZ with nα=k. It must then be the case that α is rational and that orb(x,T) is finite.

From the above, if α is irrational then the orbit orb(x,T) does not contain x. What can we say about it? In fact it is always dense.

Theorem

Fix α irrational and set T(x)=x+αmod1 on [0,1). For every x in [0,1) the orbit orb(x,T) is dense in [0,1).

Proof:

Fix x[0,1). First notice that Tn(x) and Tm(x) are distinct whenever nm. Fixing kN there must therefore be m<n with d(Tn(x),Tm(x))<1k which is to say that (nm)αmod1 is quite small. If we look then at the sequence Tnm(x),T2(nm)(x),T3(nm)(x), we see that every point in [0,1) is within 1k of a point in this sequence. Since kN was arbitrary the orbit orb(x,T) is dense in [0,1).

An example of invariance

Is there any connection between the Lebesgue measure μ on [0,1) and the dynamics of T(x)=x+αmod1? Specifically, is μ invariant for T? By this we mean that μ(B) and μ(T1B) are the same for every Borel set B[0,1) where T1(B)={xX:T(x)B} as before.

How can we verify an equality of measures? Fortunately, it suffices to verify equality on the intervals.

Theorem

Let μ and ν be Borel measures on R. If μ(I)=ν(I) for every open interval IR then μ=ν.

Proof:

This is a consequence of the π-𝜆 theorem discussed in the third worksheet.

Let us use this to verify μ is T-invariant. Define ν(B)=μ(T1(B)). It is straightforward to check that ν is also a Borel measure on X. Fix an open interval (a,b)[0,1). We know that μ((a,b))=ba. To finish we must determine T1((a,b)) and calculate is size with respect to μ. There are two possibilities: either T1((a,b)) is an interval of length ba or it is a disjoint union of two intervals whose lengths sum to ba. Which possibility arises depends on whether the interval (a,b)α contains an integer or not. Either way, the set (a,b) has measure ba with respect to ν and we are done.