Recurrence of transformations with absolutely continuous invariant measures

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dc.contributor.authorChoe, Geon Hoko
dc.date.accessioned2013-03-04T07:23:53Z-
dc.date.available2013-03-04T07:23:53Z-
dc.date.created2012-02-06-
dc.date.created2012-02-06-
dc.date.issued2002-07-
dc.identifier.citationAPPLIED MATHEMATICS AND COMPUTATION, v.129, no.2-3, pp.501 - 516-
dc.identifier.issn0096-3003-
dc.identifier.urihttp://hdl.handle.net/10203/81988-
dc.description.abstractLet X = [0, 1]. If an ergodic transformation T : X-->X preserves an absolutely continuous probability measure rho(x) dx with rho(x) > 0, then it is shown that for almost every x is an element of X, [GRAPHICS] Define the kth first return time R-k(x) = min sless than or equal to1:\T(s)x-x\ less than or equal to 1/2(k)} and the kth recurrence error by epsilon(k) (x) = \T(R k (x))x-x\. Then it is shown that [GRAPHICS] (C) 2002 Elsevier Science Inc. All rights reserved.-
dc.languageEnglish-
dc.publisherELSEVIER SCIENCE INC-
dc.titleRecurrence of transformations with absolutely continuous invariant measures-
dc.typeArticle-
dc.identifier.wosid000176137600019-
dc.identifier.scopusid2-s2.0-0037054959-
dc.type.rimsART-
dc.citation.volume129-
dc.citation.issue2-3-
dc.citation.beginningpage501-
dc.citation.endingpage516-
dc.citation.publicationnameAPPLIED MATHEMATICS AND COMPUTATION-
dc.contributor.localauthorChoe, Geon Ho-
dc.type.journalArticleArticle-
dc.subject.keywordAuthorthe first return time-
dc.subject.keywordAuthorinvariant density-
dc.subject.keywordAuthorrecurrence-
dc.subject.keywordAuthorentropy-
dc.subject.keywordAuthorHausdorff measure-
dc.subject.keywordAuthorLyapunov exponent-
dc.subject.keywordAuthorcontinued fractions-
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