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Encyclopedia > Borel set

In mathematics, the Borel algebra (or Borel σ-algebra) on a topological space is either of two σ-algebras on a topological space X:

The minimal σ-algebra on a set X containing a subset T of the power set 2X of X is the smallest σ_algebra containing T. The existence and uniqueness of the minimal σ_algebra is shown by noting that the intersection of all σ_algebras containing T is itself a σ_algebra containing T. The elements of the Borel algebra are called Borel sets.


In general topological spaces, even locally compact ones, the two structures are different. They are however identical whenever the topological space is a locally compact separable metric space.


In the case X is a metric space, the Borel algebra in the first sense may be described generatively as follows: First define for any collection A of subsets of X (that is, for any subset of the power set P(X) of X),

Then define by transfinite recursion a sequence Gm, m an ordinal number, as follows:

  • For the base case of the definition,
G0 = open subsets of X
  • If i is not a limit ordinal, then i has an immediately preceding ordinal i-1:
Gi = [Gi - 1]δσ
  • If i is a limit ordinal,

Then the Borel algebra is Gm for the first uncountable ordinal number m.


To prove this fact, note that any open set in a metric space is the union of an increasing sequence of closed sets. In particular, it is easy to show that complementation of sets maps Gm into itself for any limit ordinal; moreover if m is an uncountable limit ordinal, Gm is closed under countable unions.


This alternate definition is useful for some set-theoretic considerations, but the minimalist definition is preferred by analysts.


Examples

A particularly important example is the Borel sigma algebra (or just Borel algebra) on the set of real numbers. It is the algebra on which the Borel measure is defined. Given a real random variable defined on a probability space, its probability distribution is by definition, also a measure on the Borel algebra. The Borel algebra on the reals is the smallest sigma algebra on R which contains all the intervals.


The following is one of a number of Kuratowski theorems on Borel spaces: A Borel space is just another name for a set equipped with a σ-algebra. Borel spaces form a category in which the maps are Borel measurable mappings between Borel spaces, where f:X -> Y is Borel measurable iff f-1(B) is Borel in X for any Borel subset B of Y.


Theorem. Let X be a Polish space, that is a topological space such that there is a metric d on X which defines the topology of X and which makes X a complete separable metric space. Then X as a Borel space is isomorphic to one of (1) R, (2) Z or (3) a finite space.


It should be noted that as Borel spaces R and R union with a countable set, are isomorphic.


For subsets of Polish spaces, Borel sets can be characterized as those sets which are the ranges of continuous injective maps defined on Polish spaces. Note however, that the range of a continuous noninjective map may fail to be Borel. See analytic set.


See also

Baire set


References

An excellent exposition of the machinery of Polish topology is given in Chapter 3 of the following reference:

  • Richard Dudley, Real Analysis and Probability. Wadsworth, Brooks and Cole, 1989
  • Paul Halmos, Measure Theory, D.van Nostrand Co., 1950
  • Halsey Royden, Real Analysis, Prentice Hall, 1988



  Results from FactBites:
 
Lebesgue measure - Wikipedia, the free encyclopedia (615 words)
Sets which can be assigned a volume are called Lebesgue measurable; the volume or measure of the Lebesgue measurable set A is denoted by λ(A).
If A is a disjoint union of finitely many or countably many disjoint Lebesgue measurable sets, then A is itself Lebesgue measurable and λ(A) is equal to the sum (or infinite series) of the measures of the involved measurable sets.
The Borel measure agrees with the Lebesgue measure on those sets for which it is defined; however, there are many more Lebesgue-measurable sets than there are Borel measurable sets.
  More results at FactBites »


 

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