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The term "standard probability space" is used in {{Cite|I}}. The same, or very similar, notion appears also as: "Lebesgue space" {{Cite|Ro}}, {{Cite|Ru}}, {{Cite|P}}, {{Cite|G}}; "standard Lebesgue space" {{Cite|G}}; "Lebesgue-Rohlin space" {{Cite|H}}, {{Cite|B}}; and "L. R. space" {{Cite|H}}.
 
The term "standard probability space" is used in {{Cite|I}}. The same, or very similar, notion appears also as: "Lebesgue space" {{Cite|Ro}}, {{Cite|Ru}}, {{Cite|P}}, {{Cite|G}}; "standard Lebesgue space" {{Cite|G}}; "Lebesgue-Rohlin space" {{Cite|H}}, {{Cite|B}}; and "L. R. space" {{Cite|H}}.
  
Some authors admit totally finite (not necessarily probability) measures {{Cite|P}},  {{Cite|B}}. Note also "standard σ-finite measure" in {{Cite|Mac}}. Some authors exclude spaces of cardinality higher than continuum ({{Cite|Ro}}, {{Cite|Ru}}, {{Cite|G}}, but not {{Cite|I}}, {{Cite|H}}, {{Cite|Mac}},  {{Cite|P}}, {{Cite|B}}) even though they can be almost isomorphic to $(0,1)$ with Lebesgue measure.
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Some authors admit totally finite (not necessarily probability) measures {{Cite|P}},  {{Cite|B}}. Note also "standard σ-finite measure" in {{Cite|Mac}}. Some authors exclude spaces of cardinality higher than continuum ({{Cite|Ro}}, {{Cite|Ru}}, {{Cite|G}}, but not {{Cite|I}}, {{Cite|H}}, {{Cite|Mac}},  {{Cite|P}}, {{Cite|B}}) even though such space can be almost isomorphic to $(0,1)$ with Lebesgue measure.
  
 
====References====
 
====References====

Revision as of 20:40, 5 April 2012

On terminology

The term "standard probability space" is used in [I]. The same, or very similar, notion appears also as: "Lebesgue space" [Ro], [Ru], [P], [G]; "standard Lebesgue space" [G]; "Lebesgue-Rohlin space" [H], [B]; and "L. R. space" [H].

Some authors admit totally finite (not necessarily probability) measures [P], [B]. Note also "standard σ-finite measure" in [Mac]. Some authors exclude spaces of cardinality higher than continuum ([Ro], [Ru], [G], but not [I], [H], [Mac], [P], [B]) even though such space can be almost isomorphic to $(0,1)$ with Lebesgue measure.

References

[I] Kiyosi Itô, "Introduction to probability theory", Cambridge (1984).   MR0777504   Zbl 0545.60001
[Ru] Thierry de la Rue, "Espaces de Lebesgue", Séminaire de Probabilités XXVII, Lecture Notes in Mathematics, 1557 (1993), Springer, Berlin, pp. 15–21.   MR1308547   Zbl 0788.60001
[H] Jean Haezendonck, "Abstract Lebesgue-Rohlin spaces", Bull. Soc. Math. de Belgique 25 (1973), 243–258.   MR0335733   Zbl 0308.60006
[HN] P.R. Halmos, J. von Neumann, "Operator methods in classical mechanics, II", Annals of Mathematics (2) 43 (1942), 332–350.   MR0006617   Zbl 0063.01888
[Ro] V.A. Rokhlin, (1962), "On the fundamental ideas of measure theory", Translations (American Mathematical Society) Series 1, 10 (1962), 1–54.   MR0047744   Translated from Russian: Рохлин, В. А. (1949), "Об основных понятиях теории меры", Математический Сборник (Новая Серия) 25(67): 107–150.   MR0030584
[P] Karl Petersen, "Ergodic theory", Cambridge (1983).   MR0833286   Zbl 0507.28010
[G] Eli Glasner, "Ergodic theory via joinings", Amer. Math. Soc. (2003).   MR1958753   Zbl 1038.37002
[B] V.I. Bogachev, "Measure theory", Springer-Verlag (2007).   MR2267655  Zbl 1120.28001
[Mac] George W. Mackey, "Borel structure in groups and their duals", Trans. Amer. Math. Soc. 85 (1957), 134–165.   MR0089999   Zbl 0082.11201
[Mal] Paul Malliavin, "Integration and probability", Springer-Verlag (1995).   MR1335234   Zbl 0874.28001
How to Cite This Entry:
Boris Tsirelson/sandbox1. Encyclopedia of Mathematics. URL: http://encyclopediaofmath.org/index.php?title=Boris_Tsirelson/sandbox1&oldid=24230