Hahn Decomposition Theorem
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mathematics Mathematics is an area of knowledge that includes the topics of numbers, formulas and related structures, shapes and the spaces in which they are contained, and quantities and their changes. These topics are represented in modern mathematics ...
, the Hahn decomposition theorem, named after the
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mathematician A mathematician is someone who uses an extensive knowledge of mathematics in their work, typically to solve mathematical problems. Mathematicians are concerned with numbers, data, quantity, structure, space, models, and change. History On ...
Hans Hahn, states that for any
measurable space In mathematics, a measurable space or Borel space is a basic object in measure theory. It consists of a set and a σ-algebra, which defines the subsets that will be measured. Definition Consider a set X and a σ-algebra \mathcal A on X. Then the ...
(X,\Sigma) and any
signed measure In mathematics, signed measure is a generalization of the concept of (positive) measure by allowing the set function to take negative values. Definition There are two slightly different concepts of a signed measure, depending on whether or not o ...
\mu defined on the \sigma -algebra \Sigma , there exist two \Sigma -measurable sets, P and N , of X such that: # P \cup N = X and P \cap N = \varnothing . # 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 . # 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 In mathematics, the term essentially unique is used to describe a weaker form of uniqueness, where an object satisfying a property is "unique" only in the sense that all objects satisfying the property are equivalent to each other. The notion of es ...
, meaning that for any other pair (P',N') of \Sigma -measurable subsets of X fulfilling the three conditions above, the
symmetric difference In mathematics, the symmetric difference of two sets, also known as the disjunctive union, is the set of elements which are in either of the sets, but not in their intersection. For example, the symmetric difference of the sets \ and \ is \. Th ...
s P \triangle P' and N \triangle N' are \mu -
null set In mathematical analysis, a null set N \subset \mathbb is a measurable set that has measure zero. This can be characterized as a set that can be covered by a countable union of intervals of arbitrarily small total length. The notion of null s ...
s 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 , 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 (E) = 0 for every \Sigma -measurable subset E \subseteq N and (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 : (E) := \mu(E \cap P) \qquad \text \qquad (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 : (E) = \sup_ \mu(B) \quad \text \quad (E) = - \inf_ \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 \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 se
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_ := D . Inductively assume for n \in \mathbb_ that A_ \subseteq D has been constructed. Let : t_ := \sup(\) denote the
supremum In mathematics, the infimum (abbreviated inf; plural infima) of a subset S of a partially ordered set P is a greatest element in P that is less than or equal to each element of S, if such an element exists. Consequently, the term ''greatest l ...
of \mu(B) over all the \Sigma -measurable subsets B of A_ . This supremum might ''a priori'' be infinite. As the empty set \varnothing is a possible candidate for B in the definition of t_ , and as \mu(\varnothing) = 0 , we have t_ \geq 0 . By the definition of t_ , there then exists a \Sigma -measurable subset B_ \subseteq A_ satisfying : \mu(B_) \geq \min \! \left( 1,\frac \right). Set A_ := A_ \setminus B_ to finish the induction step. Finally, define : A := D \Bigg\backslash \bigcup_^ B_. As the sets (B_)_^ are disjoint subsets of D , it follows from the
sigma additivity In mathematics, an additive set function is a function mapping sets to numbers, with the property that its value on a union of two disjoint sets equals the sum of its values on these sets, namely, \mu(A \cup B) = \mu(A) + \mu(B). If this additivity ...
of the signed measure \mu that : \mu(D) = \mu(A) + \sum_^ \mu(B_) \geq \mu(A) + \sum_^ \min \! \left( 1,\frac \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_ \geq \mu(B) for every n \in \mathbb_ , so the
series Series may refer to: People with the name * Caroline Series (born 1951), English mathematician, daughter of George Series * George Series (1920–1995), English physicist Arts, entertainment, and media Music * Series, the ordered sets used in ...
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_ = \varnothing . Inductively, given N_ , define : s_ := \inf(\). as the
infimum In mathematics, the infimum (abbreviated inf; plural infima) of a subset S of a partially ordered set P is a greatest element in P that is less than or equal to each element of S, if such an element exists. Consequently, the term ''greatest low ...
of \mu(D) over all the \Sigma -measurable subsets D of X \setminus N_ . This infimum might ''a priori'' be - \infty . As \varnothing is a possible candidate for D in the definition of s_ , and as \mu(\varnothing) = 0 , we have s_ \leq 0 . Hence, there exists a \Sigma -measurable subset D_ \subseteq X \setminus N_ such that : \mu(D_) \leq \max \! \left( \frac,- 1 \right) \leq 0. By the claim above, there is a negative set A_ \subseteq D_ such that \mu(A_) \leq \mu(D_) . Set N_ := N_ \cup A_ to finish the induction step. Finally, define : N := \bigcup_^ A_. As the sets (A_)_^ are disjoint, we have for every \Sigma -measurable subset B \subseteq N that : \mu(B) = \sum_^ \mu(B \cap A_) 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_ \leq \mu(D) for all n \in \mathbb_ and : \mu(N) = \sum_^ \mu(A_) \leq \sum_^ \max \! \left( \frac,- 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.


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