The Theory of Chaotic Attractors 1982
DOI: 10.1007/978-0-387-21830-4_10
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Ergodic Properties of Invariant Measures for Piecewise Monotonic Transformations

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Cited by 153 publications
(182 citation statements)
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“…Keller proved in [3] that for piecewise expanding transformations S the sequences {PJ/} (/ € L1) are asymptotically periodic and M. Misiurewicz obtained a somewhat analogous result [13] for a class of transformations with negative Schwarzian derivative.…”
Section: Introductionmentioning
confidence: 91%
“…Keller proved in [3] that for piecewise expanding transformations S the sequences {PJ/} (/ € L1) are asymptotically periodic and M. Misiurewicz obtained a somewhat analogous result [13] for a class of transformations with negative Schwarzian derivative.…”
Section: Introductionmentioning
confidence: 91%
“…It remains to estimate the norm of TT(1). We can choose a diagonal subsequence of {p ( J fceN which converges pointwise to TT (1) with its derivatives up to order r -2 . Hence ||TJ-(1)||,._ 2 < C. NOW using the method of the proof of remark 4.3(b) (in particular V k ) we obtain:…”
Section: B Szewcmentioning
confidence: 99%
“…Introduction A. Lasota and J. Yorke [5] started the long series of studies of ergodic properties of piecewise monotonic transformations of an interval with derivative greater than one. Advanced research in this domain is found in [1] which is written in terms of functional analysis. M. Rychlik [8] has obtained similar results for maps with a countable number of pieces of monotonicity and without the application of the strong Ionescu-Tulcea, Marinescu theorem.…”
mentioning
confidence: 99%
“…Assuming additionally that |f | > 1 on the intervals of monotonicity, Lasota and Yorke showed that there are finitely many absolutely continuous and ergodic invariant probability measures µ j (which are SRB and physical measures). Hofbauer's spectral decomposition gives [53] proved that the associated correlation functions decay exponentially fast for observables of bounded variation. More recently, the Birkhoff cone method was applied by Liverani to show the same result [69].…”
Section: Exponential Mixing For One-dimensional Piecewise Expanding Mapsmentioning
confidence: 99%