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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 but positive measure. A measure which has no atoms is called '''non-atomic''' or '''atomless'''.
 
==Definition==
Given a [[measurable space]] <math>(X, \Sigma)</math> and a  [[measure (mathematics)|measure]] <math>\mu</math> on that space, a set <math>A</math> in <math>\Sigma</math> is called an '''atom''' if
 
: <math> \mu (A) >0\, </math>
 
and for any measurable subset <math>B</math> of <math>A</math> with
 
: <math> \mu(A) > \mu (B) \, </math>
 
one has <math> \mu(B)=0.</math>
 
== Examples==
* Consider the set ''X''={1, 2, ..., 9, 10} and let the sigma-algebra <math>\Sigma</math> be the [[power set]] of ''X''. Define the measure <math>\mu</math> of a set to be its [[cardinality]], that is, the number of elements in the set. Then, each of the [[singleton (mathematics)|singleton]]s {''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 <math>A</math> with <math> \mu (A) >0</math> there exists a measurable subset ''B'' of ''A'' such that
 
: <math> \mu(A) > \mu (B) > 0. \, </math>
 
A non-atomic measure with at least one positive value has an infinite number of distinct values, as starting with a set ''A'' with <math> \mu (A) >0</math> one can construct a decreasing sequence of measurable sets
 
:<math>A=A_1\supset A_2 \supset A_3 \supset \cdots</math>
 
such that
 
:<math>\mu(A)=\mu(A_1) > \mu(A_2) > \mu(A_3) > \cdots > 0. </math>
 
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 (theory)|continuum]] of values. It can be proved that if &mu; is a non-atomic measure and ''A'' is a measurable set with <math>\mu (A) >0,</math> then for any real number ''b'' satisfying
 
: <math>\mu (A) \geq b \geq0\, </math>
 
there exists a measurable subset ''B'' of ''A'' such that
 
: <math>\mu(B)=b.\,</math>
 
This theorem is due to [[Wacław Sierpiński]].<ref>{{cite journal |first=W. |last=Sierpinski |url=http://matwbn.icm.edu.pl/ksiazki/fm/fm3/fm3125.pdf |title=Sur les fonctions d'ensemble additives et continues |journal=Fundamenta Mathematicae |volume=3 |issue= |pages=240–246 |year=1922|language=French }}</ref><ref>{{Cite book |last=Fryszkowski |first=Andrzej |title=Fixed Point Theory for Decomposable Sets (Topological Fixed Point Theory and Its Applications) |year=2005 |publisher=Springer |location=New York |isbn=1-4020-2498-3 |page=39}}</ref>
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 <math>(X,\Sigma, \mu)</math> is a non-atomic measure space and <math>\mu(X)=c</math>, there exists a function <math>S:[0, c]\to\Sigma</math> that is monotone with respect to inclusion, and a right-inverse to <math>\mu:\Sigma\to[0,\,c]</math>. That is, there exists a one-parameter family of measurable sets S(t) such that for all <math>0\leq t \leq t'\leq c</math>
:<math>S(t)\subset S(t'),</math>
:<math>\mu\left (S(t)\right)=t.</math>
The proof easily follows from [[Zorn's lemma]] applied to the set of all monotone partial sections to <math>\mu</math> :
:<math>\Gamma:=\{S:D\to\Sigma\; :\; D\subset[0,\,c],\, S\; \mathrm{ monotone }, \forall t\in D\; (\mu\left (S(t)\right)=t)\},</math>
ordered by inclusion of graphs,  <math>\mathrm{graph}(S)\subset \mathrm{graph}(S').</math> It's then standard to show that every chain in <math>\Gamma</math> has an upper bound in <math>\Gamma</math>, and that any maximal element of <math>\Gamma</math> has domain <math>[0,c],</math> proving the claim.
 
== See also ==
* [[Atom (order theory)]] — an analogous concept in order theory
* [[Dirac delta function]]
* [[Elementary event]], also known as an '''atomic event'''
 
== Notes==
<references />
 
==References==
* {{Cite book | author=Bruckner, Andrew M.; Bruckner, Judith B.; Thomson, Brian S. | authorlink= | coauthors= | title=Real analysis | year=1997 | publisher=Prentice-Hall | location=Upper Saddle River, N.J. | isbn=0-13-458886-X | page=108}}
* {{Cite book | author=Butnariu, Dan; Klement, E. P. | authorlink= | coauthors= | title=Triangular norm-based measures and games with fuzzy coalitions | year=1993 | publisher=Kluwer Academic | location=Dordrecht  | isbn=0-7923-2369-6 | page=87}}
 
[[Category:Measure theory]]

Revision as of 09:35, 29 November 2013

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

Definition

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

μ(A)>0

and for any measurable subset B of A with

μ(A)>μ(B)

one has μ(B)=0.

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=A1A2A3

such that

μ(A)=μ(A1)>μ(A2)>μ(A3)>>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)b0

there exists a measurable subset B of A such that

μ(B)=b.

This theorem is due to Wacław Sierpiński.[1][2] 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 0ttc

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:DΣ:D[0,c],Smonotone,tD(μ(S(t))=t)},

ordered by inclusion of graphs, graph(S)graph(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.

See also

Notes

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References

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