Abstract
Mean dimension is a topological invariant of dynamical systems introduced by Gromov in 1999. It is a dynamical version of topological dimension. It evaluates the number of parameters per unit time for describing a given dynamical system. Gromov introduced this notion for the purpose of exploring a new direction of geometric analysis. Independently of this original motivation, Elon Lindenstrauss and Benjamin Weiss found deep applications of mean dimension in topological dynamics. I plan to survey some highlights of the mean dimension theory.
Gromov
Gromov tried to dynamicalize concepts from geometry. i.e. find analogs
- Number of holes ⇒ topological entropy
- Pidgeon hole principle ⇒ Symbolic coding
- Topological dimension ⇒ Mean dimension
Mean dimension is the number of parameter per unit times for describing a dynamical system.
Topological entropy and symbolic dynamics
Definition of Dynamisches System. (on compact space) In other words a compact metrizible space equipped with Z action ⇒ We could generalize from Z to other groups.
Topological entropy. For and a compact metric space we define as the minimim number for which there is an open covering Satisfying .
Let be a homeo. For define metric bby The entropy is defined by
is the covering number. Now to symbolic dynamics.
Recipe for dynamcalization Given somt geoemtric/topological invariant of K try to define its dynamicsl version so that
Definition of an embedding: For we can define as the set of -periodic points. If embeds ind then
- …
Krieger embedding theorem Let finite sets. a subshift of this staisfies:
- for all .
Then embeds in .
Mean dimension and topological dynamics
A conti map is called -embedding if for all .
Defint as the minimom interger for whicth there is an -deimension simplicial complex and en -embedding .
We define topological dimension by This is a topological invariant.
Mnger Nöbeling theorem If then X topologiccaly embedding in .
Dynamical embedding problem Consider shift maps. Then the pair is called the shift of the Hilbert cube.
Given a dynamical system decide wheter we can embed it in .
Jaworski If a finite dimensional dynamicsl system has no periodic point then it embeds in . (very surpising but I dont understand why)
Question of Auslander Can we embed every minimal dynamicsl system in . It is minimal, if every orbit is dense in .
Mean dimension and geometric analysis
His paper title: Topological invariant of dynamical systems and spaces of holomorphic maps: 1
uppose a grop cocompactly acts on an open manifold . We consider a geometric PDE on and lot be the space of its soolutions. If the qeuation is invarint under then also acts on .
Mean dimension of -actions. Let bie a cntinuous action. For a R^n subset we define We define mean dimension by