Carathéodory's extension theorem explained

In measure theory, Carathéodory's extension theorem (named after the mathematician Constantin Carathéodory) states that any pre-measure defined on a given ring of subsets R of a given set Ω can be extended to a measure on the σ-ring generated by R, and this extension is unique if the pre-measure is σ-finite. Consequently, any pre-measure on a ring containing all intervals of real numbers can be extended to the Borel algebra of the set of real numbers. This is an extremely powerful result of measure theory, and leads, for example, to the Lebesgue measure.

The theorem is also sometimes known as the Carathéodory–Fréchet extension theorem, the Carathéodory–Hopf extension theorem, the Hopf extension theorem and the HahnKolmogorov extension theorem.[1]

Introductory statement

Several very similar statements of the theorem can be given. A slightly more involved one, based on semi-rings of sets, is given further down below. A shorter, simpler statement is as follows. In this form, it is often called the Hahn–Kolmogorov theorem.

Let

\Sigma0

be an algebra of subsets of a set

X.

Consider a set function \mu_0 : \Sigma_0 \to [0, \infty] which is finitely additive, meaning that \mu_0\left(\bigcup_^N A_n\right) = \sum_^N \mu_0(A_n)for any positive integer

N

and

A1,A2,\ldots,AN

disjoint sets in

\Sigma0.

Assume that this function satisfies the stronger sigma additivity assumption\mu_0\left(\bigcup_^\infty A_n\right) = \sum_^\infty \mu_0(A_n)for any disjoint family

\{An:n\in\N\}

of elements of

\Sigma0

such that
infty
\cup
n=1

An\in\Sigma0.

(Functions

\mu0

obeying these two properties are known as pre-measures.) Then,

\mu0

extends to a measure defined on the

\sigma

-algebra

\Sigma

generated by

\Sigma0

; that is, there exists a measure \mu : \Sigma \to [0, \infty] such that its restriction to

\Sigma0

coincides with

\mu0.

If

\mu0

is

\sigma

-finite, then the extension is unique.

Comments

This theorem is remarkable for it allows one to construct a measure by first defining it on a small algebra of sets, where its sigma additivity could be easy to verify, and then this theorem guarantees its extension to a sigma-algebra. The proof of this theorem is not trivial, since it requires extending

\mu0

from an algebra of sets to a potentially much bigger sigma-algebra, guaranteeing that the extension is unique (if

\mu0

is

\sigma

-finite), and moreover that it does not fail to satisfy the sigma-additivity of the original function.

Semi-ring and ring

Definitions

For a given set

\Omega,

we call a family

l{S}

of subsets of

\Omega

a if it has the following properties:

\varnothing\inl{S}

A,B\inl{S},

we have

A\capB\inl{S}

(closed under pairwise intersections)

A,B\inl{S},

there exists a finite number of disjoint sets

Ki\inl{S},i=1,2,\ldots,n,

such that

A\setminusB=

n
cup
i=1

Ki

(relative complements can be written as finite disjoint unions).

The first property can be replaced with

l{S}\varnothing

since

A\inl{S}\impliesA\setminusA=\varnothing\inl{S}.

With the same notation, we call a family

l{R}

of subsets of

\Omega

a if it has the following properties:

\varnothing\inl{R}

A,B\inl{R},

we have

A\cupB\inl{R}

(closed under pairwise unions)

A,B\inl{R},

we have

A\setminusB\inl{R}

(closed under relative complements).

Thus, any ring on

\Omega

is also a semi-ring.

Sometimes, the following constraint is added in the measure theory context:

\Omega

is the disjoint union of a countable family of sets in

l{S}.

A field of sets (respectively, a semi-field) is a ring (respectively, a semi-ring) that also contains

\Omega

as one of its elements.

Properties

\Omega

are still rings on

\Omega.

A

is a non-empty subset of the powerset

l{P}(\Omega)

of

\Omega,

then we define the ring generated by

A

(noted

R(A)

) as the intersection of all rings containing

A.

It is straightforward to see that the ring generated by

A

is the smallest ring containing

A.

S,

the set of all finite unions of sets in

S

is the ring generated by

S:

R(S) = \left\ (One can show that

R(S)

is equal to the set of all finite disjoint unions of sets in

S

).

\mu

defined on a semi-ring

S

can be extended on the ring generated by

S.

Such an extension is unique. The extended content can be written: \mu(A) = \sum_^n \mu(A_i) for

A=

n
cup
i=1

Ai,

with the

Ai\inS

disjoint. In addition, it can be proved that

\mu

is a pre-measure if and only if the extended content is also a pre-measure, and that any pre-measure on

R(S)

that extends the pre-measure on

S

is necessarily of this form.

Motivation

In measure theory, we are not interested in semi-rings and rings themselves, but rather in σ-algebras generated by them. The idea is that it is possible to build a pre-measure on a semi-ring

S

(for example Stieltjes measures), which can then be extended to a pre-measure on

R(S),

which can finally be extended to a measure on a σ-algebra through Caratheodory's extension theorem. As σ-algebras generated by semi-rings and rings are the same, the difference does not really matter (in the measure theory context at least). Actually, Carathéodory's extension theorem can be slightly generalized by replacing ring by semi-field.[2]

The definition of semi-ring may seem a bit convoluted, but the following example shows why it is useful (moreover it allows us to give an explicit representation of the smallest ring containing some semi-ring).

Example

Think about the subset of

l{P}(\R)

defined by the set of all half-open intervals

[a,b)

for a and b reals. This is a semi-ring, but not a ring. Stieltjes measures are defined on intervals; the countable additivity on the semi-ring is not too difficult to prove because we only consider countable unions of intervals which are intervals themselves. Proving it for arbitrary countable unions of intervals is accomplished using Caratheodory's theorem.

Statement of the theorem

Let

R

be a ring of sets on

X

and let

\mu:R\to[0,+infty]

be a pre-measure on

R,

meaning that

\mu(\varnothing)=0

and for all sets

A\inR

for which there exists a countable decomposition

A=

infty
cup
i=1

Ai

in disjoint sets

A1,A2,\ldots\inR,

we have\mu(A) = \sum_^\infty \mu(A_i).

Let

\sigma(R)

be the

\sigma

-algebra
generated by

R.

The pre-measure condition is a necessary condition for

\mu

to be the restriction to

R

of a measure on

\sigma(R).

The Carathéodory's extension theorem states that it is also sufficient,[3] that is, there exists a measure

\mu\prime:\sigma(R)\to[0,+infty]

such that

\mu\prime

is an extension of

\mu;

that is,
\prime\vert
\mu
R

=\mu.

Moreover, if

\mu

is

\sigma

-finite
then the extension

\mu\prime

is unique (and also

\sigma

-finite).[4]

Proof sketch

First extend

\mu

to an outer measure

\mu*

on the power set

2X

of

X

by\mu^*(T) = \inf \left\ and then restrict it to the set

l{B}

of

\mu*

-measurable sets (that is, Carathéodory-measurable sets), which is the set of all

M\subseteqX

such that

\mu*(S)=\mu*(S\capM)+\mu*(S\capMc)

for every

S\subseteqX.

l{B}

is a

\sigma

-algebra, and

\mu*

is

\sigma

-additive on it, by the Caratheodory lemma.

It remains to check that

l{B}

contains

R.

That is, to verify that every set in

R

is

\mu*

-measurable. This is done by basic measure theory techniques of dividing and adding up sets.

For uniqueness, take any other extension

\nu

so it remains to show that

\nu=\mu*.

By

\sigma

-additivity, uniqueness can be reduced to the case where

\mu(X)

is finite, which will now be assumed.

Now we could concretely prove

\nu=\mu*

on

\sigma(R)

by using the Borel hierarchy of

R,

and since

\nu=\mu*

at the base level, we can use well-ordered induction to reach the level of

\omega1,

the level of

\sigma(R).

Examples of non-uniqueness of extension

There can be more than one extension of a pre-measure to the generated σ-algebra, if the pre-measure is not

\sigma

-finite, even if the extensions themselves are

\sigma

-finite (see example "Via rationals" below).

Via the counting measure

Take the algebra generated by all half-open intervals [''a'',''b'') on the real line, and give such intervals measure infinity if they are non-empty. The Carathéodory extension gives all non-empty sets measure infinity. Another extension is given by the [[counting measure]].

Via rationals

This example is a more detailed variation of the above. The rational closed-open interval is any subset of

Q

of the form

[a,b)

, where

a,b\inQ

.

Let

X

be

Q\cap[0,1)

and let

\Sigma0

be the algebra of all finite unions of rational closed-open intervals contained in

Q\cap[0,1)

. It is easy to prove that

\Sigma0

is, in fact, an algebra. It is also easy to see that the cardinal of every non-empty set in

\Sigma0

is

\aleph0

.

Let

\mu0

be the counting set function (

\#

) defined in

\Sigma0

. It is clear that

\mu0

is finitely additive and

\sigma

-additive in

\Sigma0

. Since every non-empty set in

\Sigma0

is infinite, then, for every non-empty set

A\in\Sigma0

,

\mu0(A)=+infty

Now, let

\Sigma

be the

\sigma

-algebra generated by

\Sigma0

. It is easy to see that

\Sigma

is the

\sigma

-algebra of all subsets of

X

, and both

\#

and

2\#

are measures defined on

\Sigma

and both are extensions of

\mu0

. Note that, in this case, the two extensions are

\sigma

-finite, because

X

is countable.

Via Fubini's theorem

Another example is closely related to the failure of some forms of Fubini's theorem for spaces that are not σ-finite.Suppose that

X

is the unit interval with Lebesgue measure and

Y

is the unit interval with the discrete counting measure. Let the ring

R

be generated by products

A x B

where

A

is Lebesgue measurable and

B

is any subset, and give this set the measure

\mu(A)card(B)

. This has a very large number of different extensions to a measure; for example:
1n(x)dx
\int
0
where

n(x)

is the number of points of the subset with given

x

-coordinate. The diagonal has measure 1.

See also

Notes and References

  1. Quoting Paul Loya: "Warning: I've seen the following theorem called the Carathéodory extension theorem, the Carathéodory-Fréchet extension theorem, the Carathéodory-Hopf extension theorem, the Hopf extension theorem, the Hahn-Kolmogorov extension theorem, and many others that I can't remember! We shall simply call it Extension Theorem. However, I read in Folland's book (p. 41) that the theorem is originally due to Maurice René Fréchet (1878–1973) who proved it in 1924." Paul Loya (page 33).
  2. Book: Klenke. Achim. Probability Theory. 2014. 978-1-4471-5360-3. Theorem 1.53. 10.1007/978-1-4471-5361-0. Universitext.
  3. Web site: Noel. Vaillant. Caratheodory's Extension. Probability.net. Theorem 4.
  4. Book: Ash, Robert B.. Probability and Measure Theory. Academic Press. 2nd. 1999. 0-12-065202-1. 19.