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metric entropy (Definition)

Let $ (X,\mathscr{B},\mu)$ be a probability space, and $ T\colon X\to X$ a measure-preserving transformation. The entropy of $ T$ with respect to a finite measurable partition $ \mathcal{P}$ is

$\displaystyle h_\mu(T,\mathcal{P})=\lim_{n\to\infty}H_\mu\left(\bigvee_{k=0}^{n-1} T^{-k}\mathcal{P}\right),$
where $ H_\mu$ is the entropy of a partition and $ \vee$ denotes the join of partitions. The above limit always exists, although it can be $ +\infty$. The entropy of $ T$ is then defined as
$\displaystyle h_\mu(T) = \sup_{\mathcal{P}} h_\mu(T,\mathcal{P}),$
with the supremum taken over all finite measurable partitions. Sometimes $ h_\mu(T)$ is called the metric or measure theoretic entropy of $ T$, to differentiate it from topological entropy.

Remarks.

  1. There is a natural correspondence between finite measurable partitions and finite sub-$ \sigma$-algebras of $ \mathscr{B}$. Each finite sub-$ \sigma$-algebra is generated by a unique partition, and clearly each finite partition generates a finite $ \sigma$-algebra. Because of this, sometimes $ h_\mu(T,\mathcal{P})$ is called the entropy of $ T$ with respect to the $ \sigma$-algebra $ \mathscr{P}$ generated by $ \mathcal{P}$, and denoted by $ h_\mu(T,\mathscr{P})$. This simplifies the notation in some instances.



"metric entropy" is owned by Koro.
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Other names:  entropy, measure theoretic entropy
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Cross-references: generates, generated by, differentiate, metric, supremum, limit, partitions, join, entropy of a partition, measurable partition, finite, measure-preserving transformation, probability space
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This is version 3 of metric entropy, born on 2004-08-05, modified 2007-07-03.
Object id is 6077, canonical name is MetricEntropy.
Accessed 4907 times total.

Classification:
AMS MSC37A35 (Dynamical systems and ergodic theory :: Ergodic theory :: Entropy and other invariants, isomorphism, classification)
 28D20 (Measure and integration :: Measure-theoretic ergodic theory :: Entropy and other invariants)

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