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Hahn Decomposition Theorem 📂Measure Theory

Hahn Decomposition Theorem

Theorem1

  • (a) Let ν\nu be a signed measure defined on a measurable space (X,E)(X, \mathcal{E}). Then there exist a positive set PP and a negative set NN for ν\nu, satisfying the following:

    PN=XandPN= P \cup N=X \quad \text{and} \quad P \cap N =\varnothing

    Such a X=PNX=P \cup N is called a Hahn decomposition for ν\nu.

  • (b) Let P,NP^{\prime}, N^{\prime} be another pair of sets satisfying (a). Then the following sets are null sets for ν\nu:

    (PP)(PP)=(NN)(NN) (P-P^{\prime}) \cup (P^{\prime}-P)=(N-N^{\prime}) \cup (N^{\prime}-N)

    This can be denoted using the symmetric difference symbol as follows:

    PΔP=NΔN P\Delta P^{\prime}=N\Delta N^{\prime}

Explanation

(a) For any given measurable space, it is possible to separate the set XX into positive and negative sets with respect to ν\nu defined on the measurable space.

(b) As stated above, even if there are multiple ways to divide the set XX, essentially, there is no difference. PP and PP^{\prime}, NN and NN^{\prime} always differ by only a null set, so they may be different from the set perspective but are the same from the measure perspective.

Proof

Strategies: The** proof of this theorem itself is not very difficult, but the flow of the proof is not trivial, so I will explain it concretely before starting. First, define some positive set PP. Then define NN as N:=XPN:=X-P. If NN is a negative set, then the proof for (a) is complete. Before proving that NN is a negative set, we will verify that NN has two properties as defined above. Finally, we will use proof by contradiction. Assuming NN is not a negative set, we will complete the proof by showing that a contradiction arises using the two properties.


Without loss of generality, assume that ν\nu does not take the value ++\infty. For the other case, the same proof applies by considering ν-\nu. Let CC be the collection of all positive sets in E\mathcal{E}. Then, by assumption, ν\nu does not take the value ++\infty, so there exists MM defined as below:

M:=supPCν(P)< M:=\sup \limits_{P \in C } \nu (P) < \infty

Now, we can show that there exists a maximizer PP satisfying ν(P)=M\nu (P)=M. Consider the following maximizing sequence {Pj}\left\{ P_{j} \right\}:

limjν(Pj)=M \lim \limits_{j \rightarrow \infty} \nu (P_{j})=M

Since there is no containment relationship between PjP_{j}’s, consider the following Pj~\tilde{P_{j}}:

Pj~:=k=1jPk \tilde{P_{j}} :=\bigcup \limits_{k=1}^j P_{k}

Then, ν(Pj)ν(Pj~)M\nu (P_{j}) \le \nu (\tilde{P_{j}}) \le M, so {Pj~}\left\{ \tilde{P_{j}} \right\} is a maximizing sequence. Also, it is obvious that P1~P2~\tilde{P_{1}} \subset \tilde{P_2}\subset \cdots by definition. Now, define PP as follows:

P:=j=1Pj~ P := \bigcup \limits_{j=1}^\infty \tilde{P_{j}}

Then, the following holds:

ν(P)=limjν(Pj~)=M \nu (P)=\lim \limits_{j\rightarrow \infty} \nu (\tilde{P_{j}})=M

Thus, we have shown the existence of a maximizer satisfying ν(P)=M\nu (P)=M. Moreover, since PP is the countable sum of positive sets, it is a positive set. In fact, such PP and N:=XPN:=X-P are the decomposition mentioned in the theorem. The process of proving that NN is such a negative set remains. Let’s now consider N:=XPN:=X \setminus P. As explained above, the proof ends if we show that NN is a negative set. First, let’s prove that such NN has the following two properties:

  • Claim 1 NN does not contain any positive set with a measure value greater than 00. In other words, it does not contain any non-null positive set. That is, if ν(E)>0\nu (E)>0 and EE is a positive set, then E⊄NE \not \subset N.

    Note that it is possible for a set ENE \subset N to exist that is neither a positive nor a negative set. In other words, a subset of NN can be 1. a null set, 2. a negative set, or 3. a set that is neither positive nor negative.

    • Proof

      Suppose ENE\subset N is a positive set and ν(E)>0\nu (E) >0. Then, by the definition of NN, EE and PP are disjoint sets. Therefore, the following holds:

      ν(PE)=ν(P)+ν(E) \nu (P \cup E)=\nu (P)+\nu (E)

      However, since ν(P)=M\nu (P)=M, the following holds:

      ν(PE)=ν(P)+ν(E)>M \nu (P \cup E)=\nu (P)+\nu (E)>M

      But this contradicts the assumption that M=supν(F) FEM=\sup \nu (F)\ \forall F\in \mathcal{E}. Therefore, there does not exist ENE \subset N such that EE is a positive set and ν(E)>0\nu (E)>0.

  • Claim 2 If ANA \subset N and ν(A)>0\nu (A)>0, then there exists BAB \subset A such that ν(B)>ν(A)\nu (B) > \nu (A).

    • Proof

      Let’s say ANA \subset N and ν(A)>0\nu (A)>0. Then, by Claim 1, AA is not a positive set. Therefore, it is neither a null set nor a positive set. Hence, there exists CC satisfying the following conditions2:

      CA, ν(C)<0 C \subset A,\ \nu (C) <0

      Now, let’s define B:=ACB:=A-C. Then, the following holds:

      ν(A)=ν(B)+ν(C)<ν(B) \nu (A)=\nu (B)+\nu (C) < \nu (B)

Now, let’s assume NN is not a negative set. By showing that a contradiction arises using the above two properties, we prove that NN is a negative set.

  • Part 1.

    Let {Aj}\left\{ A_{j} \right\} be a sequence of subsets of NN. Let {nj}\left\{ n_{j} \right\} be a sequence of natural numbers. Assuming NN is not a negative set, there exists some BNB \subset N with ν(B)>0\nu (B) >0. Let’s say the smallest njn_{j} satisfying ν(B)>1nj\nu (B) > \frac{1}{n_{j}} is n1n_{1}, and let’s call such BB as A1A_{1}. Since ν(B)=ν(A1)>0\nu (B)=\nu (A_{1})>0, the process done for NN can be applied to A1A_{1} equally.

  • Part 2

    Again, there exists some BA1B\subset A_{1} with ν(B)>0\nu (B)>0, and by Claim 2, ν(B)>ν(A1)\nu (B) > \nu (A_{1}). Therefore, there exists a natural number nn such that ν(B)>ν(A1)+1n\nu (B) > \nu (A_{1})+\frac{1}{n}. Let’s call the smallest such natural number n2n_2, and such BB as A2A_2.

  • Part 3

    Repeating the same process, njn_{j} is the smallest natural number for which there exists some BAj1B \subset A_{j-1} satisfying ν(B)>ν(Aj1)+1nj\nu (B)>\nu (A_{j-1}) + \dfrac{1}{n_{j}}, and such BB is called AjA_{j}. Now, let’s define A=1AjA=\bigcap \nolimits_{1}^\infty A_{j}. Since ν\nu is assumed not to take the value ++\infty and by the property of signed measure (B)(B), the following holds:

    +>ν(A)=ν(1Aj)=limjν(Aj)limj(ν(Aj1)+1nj)limj(ν(Aj2)+1nj1+1nj)limj(ν(A1)+1n2++1nj)limj(1n1+1n2++1nj)=j=11nj \begin{align*} +\infty \gt \nu (A) &= \nu \left(\bigcap \nolimits_{1}^\infty A_{j} \right) \\ &= \lim \limits_{j \rightarrow \infty} \nu (A_{j}) \\ &\ge \lim \limits_{j\rightarrow \infty} \left( \nu (A_{j-1}) +\frac{1}{n_{j}} \right) \\ &\ge \lim \limits_{j\rightarrow \infty} \left( \nu (A_{j-2}) + \frac{1}{n_{j-1}} +\frac{1}{n_{j}} \right) \\ &\vdots \\ &\ge \lim \limits_{j\rightarrow \infty} \left( \nu (A_{1}) + \frac{1}{n_{2}}+\cdots +\frac{1}{n_{j}} \right) \\ &\ge \lim \limits_{j\rightarrow \infty} \left( \frac{1}{n_{1}}+ \frac{1}{n_{2}}+\cdots +\frac{1}{n_{j}} \right) \\ &= \sum \limits_{j=1}^\infty \frac{1}{n_{j}} \end{align*}

    Since the series is finite, the limit is 00.

    limj1nj=0 \lim \limits_{j\rightarrow \infty} \frac{1}{n_{j}} =0

    Therefore, we obtain the following:

    limjnj= \begin{equation} \lim \limits_{j\rightarrow \infty} n_{j} =\infty \label{eq1} \end{equation}

    However, as seen in Part 1, by Claim 2, there exists some natural number nn for which there exists BAB \subset A satisfying ν(B)>ν(A)+1n\nu (B) > \nu (A) +\dfrac{1}{n}. Then, by the definition of AA, AAj1A \subset A_{j-1}, and by Claim 2, the sequence {ν(Aj)}\left\{ \nu (A_{j}) \right\} is increasing. Therefore, since ν(A)=limjν(Aj)\nu (A) =\lim \limits_{j \rightarrow \infty} \nu (A_{j}), ν(A)>ν(Aj1)\nu (A) > \nu (A_{j-1}).

    Additionally, by (1)(1), for sufficiently large jj, nj>nn_{j} >n. Therefore, the following holds:

    ν(B)>ν(A)+1n>ν(Aj1)+1n>ν(Aj1)+1nj \nu (B) > \nu (A) +\frac{1}{n}>\nu (A_{j-1}) +\frac{1}{n} > \nu (A_{j-1}) +\frac{1}{n_{j}}

    But this contradicts the definition of njn_{j} and AjA_{j}. Therefore, the assumption that NN is not a negative set is wrong. Hence, NN is a negative set.

    Let’s consider PP^{\prime}, NN^{\prime} as another decomposition satisfying the theorem. Then, the following holds:

    PN=XandPN= P^{\prime} \cup N^{\prime} =X \quad \text{and} \quad P^{\prime}\cap N^{\prime} =\varnothing

    Therefore, we can see that PPPP-P^{\prime} \subset P, PPNP-P^{\prime}\subset N^{\prime}. Then, PPP-P^{\prime} is both a positive set and a negative set, which is only possible if it’s a null set, so PPP-P^{\prime} is νnull\nu-\mathrm{null}. Similarly, νnull\nu -\mathrm{null} can be shown for PPP^{\prime}-P, NNN-N^{\prime}, and NNN^{\prime}-N.


  1. Gerald B. Folland, Real Analysis: Modern Techniques and Their Applications (2nd Edition, 1999), p86-87 ↩︎

  2. If not, A must be either a null set or a positive set by definition. ↩︎