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Content (measure theory) : ウィキペディア英語版
Content (measure theory)
In mathematics, a content is a real function \mu defined on a field of sets \mathcal such that
# \mu(A)\in\ (\infty ) \mbox A \in \mathcal.
# \mu(\varnothing) = 0.
# \mu(A_1 \cup A_2) = \mu(A_1) + \mu(A_2) \mbox A_1,A_2 \in \mathcal \mbox A_1 \cap A_2 = \varnothing.
An example of a content is a measure, which is a ''σ''-additive ''content'' defined on a ''σ''-field. Every (real-valued) measure is a content, but not vice versa. Contents give a good notion of integrating bounded functions on a space but can behave badly when integrating unbounded functions, while measures give a good notion of integrating unbounded functions.
==Examples==

An example of a content that is not a measure on a σ-algebra is the content on all subset of the positive integers that has value 1/''n'' on the integer ''n'' and is infinite on any infinite subset.
An example of a content on the positive integers that is always finite but is not a measure can be given as follows. Take a positive linear functional on the bounded sequences that is 0 if the sequence has only a finite number of nonzero elements and takes value 1 on the sequence 1, 1, 1, ...., so the functional in some sense gives an "average value" of any bounded sequence. (Such a functional cannot be constructed explicitly, but exists by the Hahn-Banach theorem.) Then the content of a set of positive integers is the average value of the sequence that is 1 on this set and 0 elsewhere. Informally, one can think of the content of a subset of integers as the "chance" that a randomly chosen integer lies in this subset (though this is not compatible with the usual definitions of chance in probability theory, which assume countable additivity).

抄文引用元・出典: フリー百科事典『 ウィキペディア(Wikipedia)
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