2000
DOI: 10.4064/cm-84/85-2-495-514
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Ergodic decomposition of quasi-invariant probability measures

Abstract: Abstract. The purpose of this note is to prove various versions of the ergodic decomposition theorem for probability measures on standard Borel spaces which are quasiinvariant under a Borel action of a locally compact second countable group or a discrete nonsingular equivalence relation. In the process we obtain a simultaneous ergodic decomposition of all quasi-invariant probability measures with a prescribed Radon-Nikodym derivative, analogous to classical results about decomposition of invariant probability … Show more

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Cited by 52 publications
(43 citation statements)
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“…If R is a countable Borel equivalence relation, then any R-invariant μ ∈ M(X) is an average of R-invariant, ergodic, σ -finite measures [14].…”
Section: The Ergodic Decomposition For a Countable Borel Equivalencementioning
confidence: 99%
“…If R is a countable Borel equivalence relation, then any R-invariant μ ∈ M(X) is an average of R-invariant, ergodic, σ -finite measures [14].…”
Section: The Ergodic Decomposition For a Countable Borel Equivalencementioning
confidence: 99%
“…Для действий локально компактных групп общая теорема об эргодическом разложении принадлежит Грешонигу и Шмидту [13]. Грешониг и Шмидт пред-ложили два подхода: в первом они следовали Рохлину и показали, что сигма-алгебра инвариантных множеств является "достаточной" для множества ве-роятностных мер с данным коциклом Радона-Никодима, второй подход осно-вывался на теореме Шоке (см., например, [14]).…”
Section: исторические комментарииunclassified
“…Автор благодарен Клаусу Шмидту за объяснение конструк-ции из § 5 работы [13] и за многочисленные полезные обсуждения. Автор бла-годарит Ива Кудена за объяснения теории Суслина.…”
Section: 32unclassified
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“…We could not find a precise reference to this fact in the available literature, although it is no doubt known to specialists (as a part of "folklore", very much present in this area, cf. the introduction to [GS01]). …”
Section: Boundary Identificationmentioning
confidence: 99%