Hahn decomposition theorem

{{Short description|Measurability theorem}}

In mathematics, the Hahn decomposition theorem, named after the Austrian mathematician Hans Hahn, states that for any measurable space (X,\Sigma) and any signed measure \mu defined on the \sigma -algebra \Sigma , there exist two \Sigma -measurable sets, P and N , of X such that:

  1. P \cup N = X and P \cap N = \varnothing .
  2. For every E \in \Sigma such that E \subseteq P , one has \mu(E) \geq 0 , i.e., P is a positive set for \mu .
  3. For every E \in \Sigma such that E \subseteq N , one has \mu(E) \leq 0 , i.e., N is a negative set for \mu .

Moreover, this decomposition is essentially unique, meaning that for any other pair (P',N') of \Sigma -measurable subsets of X fulfilling the three conditions above, the symmetric differences P \triangle P' and N \triangle N' are \mu -null sets in the strong sense that every \Sigma -measurable subset of them has zero measure. The pair (P,N) is then called a Hahn decomposition of the signed measure \mu .

Jordan measure decomposition

A consequence of the Hahn decomposition theorem is the {{visible anchor|Jordan decomposition theorem}}, which states that every signed measure \mu defined on \Sigma has a unique decomposition into a difference \mu = \mu^{+} - \mu^{-} of two positive measures, \mu^{+} and \mu^{-} , at least one of which is finite, such that {\mu^{+}}(E) = 0 for every \Sigma -measurable subset E \subseteq N and {\mu^{-}}(E) = 0 for every \Sigma -measurable subset E \subseteq P , for any Hahn decomposition (P,N) of \mu . We call \mu^{+} and \mu^{-} the positive and negative part of \mu , respectively. The pair (\mu^{+},\mu^{-}) is called a Jordan decomposition (or sometimes Hahn–Jordan decomposition) of \mu . The two measures can be defined as

: {\mu^{+}}(E) := \mu(E \cap P) \qquad \text{and} \qquad {\mu^{-}}(E) := - \mu(E \cap N)

for every E \in \Sigma and any Hahn decomposition (P,N) of \mu .

Note that the Jordan decomposition is unique, while the Hahn decomposition is only essentially unique.

The Jordan decomposition has the following corollary: Given a Jordan decomposition (\mu^{+},\mu^{-}) of a finite signed measure \mu , one has

: {\mu^{+}}(E) = \sup_{B \in \Sigma, ~ B \subseteq E} \mu(B) \quad \text{and} \quad {\mu^{-}}(E) = - \inf_{B \in \Sigma, ~ B \subseteq E} \mu(B)

for any E in \Sigma . Furthermore, if \mu = \nu^{+} - \nu^{-} for a pair (\nu^{+},\nu^{-}) of finite non-negative measures on X , then

: \nu^{+} \geq \mu^{+} \quad \text{and} \quad \nu^{-} \geq \mu^{-}.

The last expression means that the Jordan decomposition is the minimal decomposition of \mu into a difference of non-negative measures. This is the minimality property of the Jordan decomposition.

Proof of the Jordan decomposition: For an elementary proof of the existence, uniqueness, and minimality of the Jordan measure decomposition see [https://arxiv.org/abs/1206.5449 Fischer (2012)].

Proof of the Hahn decomposition theorem

Preparation: Assume that \mu does not take the value - \infty (otherwise decompose according to - \mu ). As mentioned above, a negative set is a set A \in \Sigma such that \mu(B) \leq 0 for every \Sigma -measurable subset B \subseteq A .

Claim: Suppose that D \in \Sigma satisfies \mu(D) \leq 0 . Then there is a negative set A \subseteq D such that \mu(A) \leq \mu(D) .

Proof of the claim: Define A_{0} := D . Inductively assume for n \in \mathbb{N}_{0} that A_{n} \subseteq D has been constructed. Let

: t_{n} := \sup(\{ \mu(B) \mid B \in \Sigma ~ \text{and} ~ B \subseteq A_{n} \})

denote the supremum of \mu(B) over all the \Sigma -measurable subsets B of A_{n} . This supremum might a priori be infinite. As the empty set \varnothing is a possible candidate for B in the definition of t_{n} , and as \mu(\varnothing) = 0 , we have t_{n} \geq 0 . By the definition of t_{n} , there then exists a \Sigma -measurable subset B_{n} \subseteq A_{n} satisfying

: \mu(B_{n}) \geq \min \! \left( 1,\frac{t_{n}}{2} \right).

Set A_{n + 1} := A_{n} \setminus B_{n} to finish the induction step. Finally, define

: A := D \Bigg\backslash \bigcup_{n = 0}^{\infty} B_{n}.

As the sets (B_{n})_{n = 0}^{\infty} are disjoint subsets of D , it follows from the sigma additivity of the signed measure \mu that

: \mu(D) = \mu(A) + \sum_{n = 0}^{\infty} \mu(B_{n}) \geq \mu(A) + \sum_{n = 0}^{\infty} \min \! \left( 1,\frac{t_{n}}{2} \right)\geq \mu(A).

This shows that \mu(A) \leq \mu(D) . Assume A were not a negative set. This means that there would exist a \Sigma -measurable subset B \subseteq A that satisfies \mu(B) > 0 . Then t_{n} \geq \mu(B) for every n \in \mathbb{N}_{0} , so the series on the right would have to diverge to + \infty , implying that \mu(D) = + \infty , which is a contradiction, since \mu(D) \leq 0 . Therefore, A must be a negative set.

Construction of the decomposition: Set N_{0} = \varnothing . Inductively, given N_{n} , define

: s_{n} := \inf(\{ \mu(D) \mid D \in \Sigma ~ \text{and} ~ D \subseteq X \setminus N_{n} \}).

as the infimum of \mu(D) over all the \Sigma -measurable subsets D of X \setminus N_{n} . This infimum might a priori be - \infty . As \varnothing is a possible candidate for D in the definition of s_{n} , and as \mu(\varnothing) = 0 , we have s_{n} \leq 0 . Hence, there exists a \Sigma -measurable subset D_{n} \subseteq X \setminus N_{n} such that

: \mu(D_{n}) \leq \max \! \left( \frac{s_{n}}{2},- 1 \right) \leq 0.

By the claim above, there is a negative set A_{n} \subseteq D_{n} such that \mu(A_{n}) \leq \mu(D_{n}) . Set N_{n + 1} := N_{n} \cup A_{n} to finish the induction step. Finally, define

: N := \bigcup_{n = 0}^{\infty} A_{n}.

As the sets (A_{n})_{n = 0}^{\infty} are disjoint, we have for every \Sigma -measurable subset B \subseteq N that

: \mu(B) = \sum_{n = 0}^{\infty} \mu(B \cap A_{n})

by the sigma additivity of \mu . In particular, this shows that N is a negative set. Next, define P := X \setminus N . If P were not a positive set, there would exist a \Sigma -measurable subset D \subseteq P with \mu(D) < 0 . Then s_{n} \leq \mu(D) for all n \in \mathbb{N}_{0} and{{clarify|reason=see talk page|date=July 2023}}

: \mu(N) = \sum_{n = 0}^{\infty} \mu(A_{n}) \leq \sum_{n = 0}^{\infty} \max \! \left( \frac{s_{n}}{2},- 1 \right) = - \infty,

which is not allowed for \mu . Therefore, P is a positive set.

Proof of the uniqueness statement:

Suppose that (N',P') is another Hahn decomposition of X . Then P \cap N' is a positive set and also a negative set. Therefore, every measurable subset of it has measure zero. The same applies to N \cap P' . As

: P \triangle P' = N \triangle N' = (P \cap N') \cup (N \cap P'),

this completes the proof. Q.E.D.

References

  • {{cite book

| last = Billingsley

| first = Patrick

| title = Probability and Measure -- Third Edition

| series = Wiley Series in Probability and Mathematical Statistics

|publisher = John Wiley & Sons

| location = New York

| year = 1995

| isbn = 0-471-00710-2

}}

  • {{cite arXiv |last=Fischer |first=Tom |eprint=1206.5449 |class=math.ST |title=Existence, uniqueness, and minimality of the Jordan measure decomposition |year=2012 }}