Mean dimension explained

In mathematics, the mean (topological) dimension of a topological dynamical system is a non-negative extended real number that is a measure of the complexity of the system. Mean dimension was first introduced in 1999 by Gromov.[1] Shortly after it was developed and studied systematically by Lindenstrauss and Weiss. In particular they proved the following key fact: a system with finite topological entropy has zero mean dimension. For various topological dynamical systems with infinite topological entropy, the mean dimension can be calculated or at least bounded from below and above. This allows mean dimension to be used to distinguish between systems with infinite topological entropy. Mean dimension is also related to the problem of embedding topological  dynamical systems in shift spaces (over Euclidean cubes).

General definition

A topological dynamical system consists of a compact Hausdorff topological space

styleX

and a continuous self-map

styleT:XX

. Let

stylel{O}

denote the collection of open finite covers of

styleX

. For

style\alpha\inl{O}

define its order by

\operatorname{ord}(\alpha)=maxx\in\sumU\in\alpha1U(x)-1

An open finite cover

style\beta

refines

style\alpha

, denoted

style\beta\succ\alpha

, if for every

styleV\in\beta

, there is

styleU\in\alpha

so that

styleV\subsetU

. Let

D(\alpha)=min\beta\succ\alpha\operatorname{ord}(\beta)

Note that in terms of this definition the Lebesgue covering dimension is defined by

\dimLeb(X)=\sup\alpha\inl{O

}D(\alpha).

Let

style\alpha,\beta

be open finite covers of

styleX

. The join of

style\alpha

and

style\beta

is the open finite cover by all sets of the form

styleA\capB

where

styleA\in\alpha

,

styleB\in\beta

. Similarly one can define the join
n\alpha
stylevee
i
of any finite collection of open covers of

styleX

.

The mean dimension is the non-negative extended real number:

\operatorname{mdim}(X,T)=\sup\alpha\inl{l{O

}}\lim_\frac

where

n-1
style\alpha
i=0

T-i\alpha.

Definition in the metric case

If the compact Hausdorff topological space

styleX

is metrizable and

styled

is a compatible metric, an equivalent definition can be given. For

style\varepsilon>0

, let

style\operatorname{Widim}\varepsilon(X,d)

be the minimal non-negative integer

stylen

, such that there exists an open finite cover of

styleX

by sets of diameter less than

style\varepsilon

such that any

stylen+2

distinct sets from this cover have empty intersection. Note that in terms of this definition the Lebesgue covering dimension is defined by

style\dimLeb(X)=\sup\varepsilon>0\operatorname{Widim}\varepsilon(X,d)

. Let

dn(x,y)=max0\leqd(Tix,Tiy)

The mean dimension is the non-negative extended real number:

\operatorname{mdim}(X,d)=\sup\varepsilon>0\limn → infty

\operatorname{Widim
\varepsilon(X,d

n)}{n}

Properties

style[0,infty]

.

style\dimLeb(X)<infty\operatorname{mdim}(X,T)=0

.

style\dimtop(X,T)<infty\operatorname{mdim}(X,T)=0

.[2]

Example

Let

styled\in{N

}. Let

styleX=([0,1]d)Z

and

styleT:XX

be the shift homeomorphism

style(\ldots,x-2,x-1

,x0,x
1,x

2,\ldots)(\ldots,x-1

,x
0,x1,x

2,x3,\ldots)

, then

style\operatorname{mdim}(X,T)=d

.

See also

References

External links

What is Mean Dimension?

Notes and References

  1. Misha . Gromov . Topological invariants of dynamical systems and spaces of holomorphic maps I . Mathematical Physics, Analysis and Geometry . 2 . 4 . 323–415 . 1999 . 10.1023/A:1009841100168 . free . 117100302 .
  2. Mean topological dimension. Israel Journal of Mathematics. 2000-12-01. 0021-2172. 1–24. 115. 1. 10.1007/BF02810577. free. Elon. Lindenstrauss. Benjamin. Weiss. p. 14. 10.1.1.30.3552.