Bowen ball 2026-10-14
A radius- ball for a Bowen metric consists of the points whose first iterates stay within of the corresponding iterates of the centre. Balls at a fixed small radius distinguish forward orbit segments at that observational resolution.
Use the separated-set definition of topological entropy. For a compatible metric and , define the Bowen metric and separated-set count by
For fixed , the metric generates the original topology: it includes the term and all finitely many iterations of a map are continuous. Thus its space is compact and is finite. With natural logarithms, set
The last limit exists, possibly with value infinity, because decreasing can only increase separated-set counts.
Let be another compatible metric. The identity is a continuous function on a compact domain, hence uniformly continuous. For every , choose such that implies . The same implication at every iterate gives
By its contrapositive, every -separated set for is -separated for . Consequently for every , and
Taking gives . Interchanging the two compatible metrics gives the reverse inequality. Therefore
Compactness is used for uniform continuity, not merely for pointwise equivalence of the two metrics.
Let be a homeomorphism with . This is topological conjugacy. Choose a compatible metric on and pull it back to :
Because is a homeomorphism, is a compatible metric. The conjugacy identity implies for every , so the corresponding Bowen metrics satisfy
The bijection therefore transports separated sets in either direction without changing their separation, and . Their exponential growth rates, and then their limits as , agree. Part (a) lets us replace by any compatible metric on . Hence
Topological conjugacy 2026-10-14
Two continuous maps are topologically conjugate if a homeomorphism between their state spaces satisfies the displayed intertwining identity. It is conjugate maps with a topology-preserving conjugating map. On compact metric spaces, pulling back a compatible metric through preserves every Bowen metric, and hence topological entropy.