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Probability Theory and Related Fields
Article . 2002 . Peer-reviewed
License: Springer TDM
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Group extensions of Gibbs–Markov maps

Group extensions of Gibbs-Markov maps
Authors: Aaronson, J.; Denker, Manfred;

Group extensions of Gibbs–Markov maps

Abstract

Let \((X,\mathcal{B},m,T,\alpha)\) be an exact probability-preserving Markov map, where \((X,\mathcal{B},m)\) is some probability space, \(T\colon X \to X\) a probability-preserving transformation and \(\alpha\) denotes a generating Markov partition. For each \(a\in \bigvee_{i=0}^{n-1}T^{-i}\alpha ,\) let \(\nu_a\) be the local inverse of the map \(T^n:a\to T^na,\) and denote by \(\nu_a'\) the Radon-Nikodym derivantive of \(m\circ \nu_a\) with respect to \(m.\) The map \(T\) is said to be a Gibbs-Markov map if \(\inf_{a\in \alpha }m(Ta)\) and if \(T\) has the Gibbs-property [see e.g., the authors, Stoch. Dyn. 1, 193-237 (2001)]. Let \(G\) be a locally compact, abelian, secound countable group, and \(\phi:X\to G\) a measurable cocycle. Consider the corresponding skew-product \(T_{\phi}:X\times G\to X\times G\) defined by \(T_{\phi}(x,y)=(Tx,y+\phi (x))\), and which is invariant under the product measure. In this paper the authors give different characterizations for \(T_{\phi}\) to be exact. For example they show that \[ T_{\phi} \text{ is exact } \iff \phi \text{ is aperiodic } \iff T_{\phi} \text{ is weakly mixing}. \] Other characterizations are also given.

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Germany
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Keywords

Ergodic theorems, spectral theory, Markov operators, skew products, aperiodic cocycles, Ergodicity, mixing, rates of mixing, Dynamical aspects of measure-preserving transformations, Gibbs-property, Probability measures on groups or semigroups, Fourier transforms, factorization, Measure-preserving transformations, exactness

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
13
Top 10%
Average
Average
Green
bronze