Talk:Topological entropy

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Measure, metric and topology

We have entropy defined using a measure. We have entropy defined using topology. And we have entropy defined using a metric. Why do we keep calling the "measure-theoretic" entropy as "metric-entropy"? I suggest changing it to "Kolmogorov-Sinai entropy", or even "measure-theoretic entropy". — Preceding unsigned comment added by André Caldas (talk • contribs) 00:47, 22 October 2012 (UTC)[reply]

Low and high entropy

I just copied this article from Planet math, so am not to clear on its interpretation. Very curiously, it seems to be saying that ergodic systems have a very low entropy (!), while only dissipative systems would have a high entropy. Curious. linas 14:19, 7 June 2006 (UTC)[reply]

Never mind, I misread one of the lines. None-the-less, some examples would be good. linas 14:31, 7 June 2006 (UTC)[reply]

The "metric"

d_{n}

is not well-defined because

f

is not supposed to be injective.

Kolmogorov-Sinai entropy

Since I last looked at this article, a section was added called Definition of Adler, Konheim, and McAndrew but the definition given there seems to be identical, at least to my tired eyes, to the definition of Kolmogorov-Sinai entropy. Now the lead explains that this is somehow an improvement, but I don't see quite what the difference is ... Soo .. what's up with that? linas (talk) 03:56, 22 November 2010 (UTC)[reply]

Kolmogorov–Sinai entropy is measure-theoretic, i.e. it depends on the invariant measure μ, whereas the topological entropy is purely topological, i.e. it depends only on the topological conjugacy class of the map T. There is a very important relation between the two notions, the variational principle: h_top(T) is the supremum over all invariant measures of h_μ(T). You can read the details in the Scholarpedia article. Arcfrk (talk) 14:25, 22 November 2010 (UTC)[reply]