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Atom (measure theory)

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In mathematics, more precisely in measure theory, an atom is a measurable set which has positive measure and contains no set of smaller positive measure. A measure which has no atoms is called non-atomic or atomless.

Contents

Definition

Given a measurable space ( X , Σ ) and a measure μ on that space, a set A X in Σ is called an atom if

μ ( A ) > 0

and for any measurable subset B A with

μ ( B ) < μ ( A )

the set B has measure zero.

Examples

  • Consider the set X={1, 2, ..., 9, 10} and let the sigma-algebra Σ be the power set of X. Define the measure μ of a set to be its cardinality, that is, the number of elements in the set. Then, each of the singletons {i}, for i=1,2, ..., 9, 10 is an atom.
  • Consider the Lebesgue measure on the real line. This measure has no atoms.
  • Non-atomic measures

    A measure which has no atoms is called non-atomic. In other words, a measure is non-atomic if for any measurable set A with μ ( A ) > 0 there exists a measurable subset B of A such that

    μ ( A ) > μ ( B ) > 0.

    A non-atomic measure with at least one positive value has an infinite number of distinct values, as starting with a set A with μ ( A ) > 0 one can construct a decreasing sequence of measurable sets

    A = A 1 A 2 A 3

    such that

    μ ( A ) = μ ( A 1 ) > μ ( A 2 ) > μ ( A 3 ) > > 0.

    This may not be true for measures having atoms; see the first example above.

    It turns out that non-atomic measures actually have a continuum of values. It can be proved that if μ is a non-atomic measure and A is a measurable set with μ ( A ) > 0 , then for any real number b satisfying

    μ ( A ) b 0

    there exists a measurable subset B of A such that

    μ ( B ) = b .

    This theorem is due to Wacław Sierpiński. It is reminiscent of the intermediate value theorem for continuous functions.

    Sketch of proof of Sierpiński's theorem on non-atomic measures. A slightly stronger statement, which however makes the proof easier, is that if ( X , Σ , μ ) is a non-atomic measure space and μ ( X ) = c , there exists a function S : [ 0 , c ] Σ that is monotone with respect to inclusion, and a right-inverse to μ : Σ [ 0 , c ] . That is, there exists a one-parameter family of measurable sets S(t) such that for all 0 t t c

    S ( t ) S ( t ) , μ ( S ( t ) ) = t .

    The proof easily follows from Zorn's lemma applied to the set of all monotone partial sections to μ  :

    Γ := { S : D Σ : D [ 0 , c ] , S m o n o t o n e , t D ( μ ( S ( t ) ) = t ) } ,

    ordered by inclusion of graphs, g r a p h ( S ) g r a p h ( S ) . It's then standard to show that every chain in Γ has an upper bound in Γ , and that any maximal element of Γ has domain [ 0 , c ] , proving the claim.

    References

    Atom (measure theory) Wikipedia


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