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==On the real line==
==On the real line==
The real line '''R''' with its [[Real line|usual topology]] is a locally compact Hausdorff space, hence we can define a Borel measure on it. In this case, <math>\mathfrak{B}(\textbf{R})</math> is the smallest σ-algebra that contains the open intervals of '''R'''. While there are many Borel measures μ, the choice of Borel measure which assigns <math>\mu([a,b])=b-a</math> for every interval <math>[a,b]</math> is sometimes called "the" Borel measure on '''R'''. In practice, even "the" Borel measure is not the most useful measure defined on the σ-algebra of Borel sets; indeed, the [[Lebesgue measure]] <math>\lambda</math> is an extension of "the" Borel measure which possesses the crucial property that it is a [[complete measure]] (unlike the Borel measure). To clarify, when one says that the Lebesgue measure <math>\lambda</math> is an extension of the Borel measure <math>\mu</math>, it means that every Borel-measurable set ''E'' is also a Lebesgue-measurable set, and the Borel measure and the Lebesgue measure coincide on the Borel sets (i.e., <math>\lambda(E)=\mu(E)</math> for every Borel measurable set).
The real line <math>\mathbb R</math> with its [[Real line|usual topology]] is a locally compact Hausdorff space, hence we can define a Borel measure on it. In this case, <math>\mathfrak{B}(\mathbb R)</math> is the smallest σ-algebra that contains the open intervals of <math>\mathbb R</math>. While there are many Borel measures μ, the choice of Borel measure which assigns <math>\mu([a,b])=b-a</math> for every interval <math>[a,b]</math> is sometimes called "the" Borel measure on <math>\mathbb R</math>. In practice, even "the" Borel measure is not the most useful measure defined on the σ-algebra of Borel sets; indeed, the [[Lebesgue measure]] <math>\lambda</math> is an extension of "the" Borel measure which possesses the crucial property that it is a [[complete measure]] (unlike the Borel measure). To clarify, when one says that the Lebesgue measure <math>\lambda</math> is an extension of the Borel measure <math>\mu</math>, it means that every Borel-measurable set ''E'' is also a Lebesgue-measurable set, and the Borel measure and the Lebesgue measure coincide on the Borel sets (i.e., <math>\lambda(E)=\mu(E)</math> for every Borel measurable set).


==References==
==References==

Revision as of 09:22, 19 May 2013

In mathematics, specifically in measure theory, a Borel measure is defined as follows: let X be a locally compact Hausdorff space, and let be the smallest σ-algebra that contains the open sets of X; this is known as the σ-algebra of Borel sets. Any measure μ defined on the σ-algebra of Borel sets is called a Borel measure. Some authors require in addition that μ(C) < ∞ for every compact set C. If a Borel measure μ is both inner regular and outer regular, it is called a regular Borel measure. If μ is both inner regular and locally finite, it is called a Radon measure. Note that a locally finite Borel measure automatically satisfies μ(C) < ∞ for every compact set C.

On the real line

The real line with its usual topology is a locally compact Hausdorff space, hence we can define a Borel measure on it. In this case, is the smallest σ-algebra that contains the open intervals of . While there are many Borel measures μ, the choice of Borel measure which assigns for every interval is sometimes called "the" Borel measure on . In practice, even "the" Borel measure is not the most useful measure defined on the σ-algebra of Borel sets; indeed, the Lebesgue measure is an extension of "the" Borel measure which possesses the crucial property that it is a complete measure (unlike the Borel measure). To clarify, when one says that the Lebesgue measure is an extension of the Borel measure , it means that every Borel-measurable set E is also a Lebesgue-measurable set, and the Borel measure and the Lebesgue measure coincide on the Borel sets (i.e., for every Borel measurable set).

References

  • J. D. Pryce (1973). Basic methods of functional analysis. Hutchinson University Library. Hutchinson. p. 217. ISBN 0-09-113411-0.
  • Alan J. Weir (1974). General integration and measure. Cambridge University Press. pp. 158–184. ISBN 0-521-29715-X.