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Signed Measures and the Hahn-Jordan Decompositions · Tutorial 447 of 798

Unions and Subsets of Sign-Definite Sets

Prove the subset and countable-union rules for positive and negative sets, and use them to build sign-definite sets without overlooking overlaps or empty-family conventions.

Advanced 10 min read

What You'll Learn

  • Define positive and negative sets using the values of the signed measure on every measurable subset.
  • Prove that measurable subsets inherit the sign of a positive or negative set.
  • Prove closure of positive and negative sets under countable unions by disjointization.
  • Use disjointization to handle overlapping sign-definite sets without double-counting.
  • Distinguish an empty union from an empty intersection and test when the whole space is sign-definite.
  • Identify why a union of sets with different signs need not be sign-definite.

Sign Conditions Are Conditions on Every Subset

A signed measure can assign positive values to some measurable sets and negative values to others. To call a set positive or negative, it is not enough to inspect the signed measure of the set itself: the sign condition must hold on every measurable part of it. This stronger condition is what makes positive and negative sets useful when constructing larger sets and simplifying their overlaps.

Throughout, let \((X,\mathcal{M},\nu)\) be a measurable space equipped with a signed measure \(\nu\). Here a signed measure is a countably additive set function on \(\mathcal{M}\) with values in \([-\infty,\infty]\), which does not take both \(+\infty\) and \(-\infty\). No finiteness or completeness assumption is imposed. All the set inclusions below are literal set inclusions, and all sign conditions hold on every measurable subset, not merely almost everywhere.

Definition: A measurable set \(P\in\mathcal{M}\) is positive for \(\nu\) if \(\nu(E)\ge 0\) for every measurable \(E\subseteq P\). A measurable set \(N\in\mathcal{M}\) is negative for \(\nu\) if \(\nu(E)\le 0\) for every measurable \(E\subseteq N\). A set is sign-definite if it is positive or negative.

In particular, the test set \(E\) in either definition may be the whole set itself, but the condition is stronger than a condition on \(\nu(P)\) or \(\nu(N)\) alone. A positive set can have positive measure while containing a subset of negative measure only if it fails to be positive; similarly, a negative set cannot contain a subset of positive measure.

Measurable Subsets Inherit the Sign

Proposition: If \(P\in\mathcal{M}\) is positive and \(C\in\mathcal{M}\) satisfies \(C\subseteq P\), then \(C\) is positive. If \(N\in\mathcal{M}\) is negative and \(C\in\mathcal{M}\) satisfies \(C\subseteq N\), then \(C\) is negative.

Proof. Suppose first that \(P\) is positive and \(C\subseteq P\) is measurable. For any measurable \(E\subseteq C\), transitivity of inclusion gives \(E\subseteq P\). The definition of positivity therefore gives \(\nu(E)\ge0\). This holds for every measurable subset \(E\) of \(C\), so \(C\) is positive. If \(N\) is negative and \(C\subseteq N\), then every measurable \(E\subseteq C\) also satisfies \(E\subseteq N\), and hence \(\nu(E)\le0\). Thus \(C\) is negative. \(\square\)

This inheritance rule includes the empty set: its only subset is itself, and \(\nu(\varnothing)=0\) by countable additivity. Thus \(\varnothing\) is both positive and negative. The whole space \(X\), however, is not automatically either; its sign depends on \(\nu\) on all measurable subsets of \(X\).

Worked Example: Checking Subsets in a Finite Signed Measure

Let \(X=\{a,b,c\}\), let \(\mathcal{M}\) be the collection of all subsets of \(X\), and define \(\nu\) by the weights \(\nu(\{a\})=2\), \(\nu(\{b\})=1\), and \(\nu(\{c\})=-3\). For any \(E\subseteq X\), \(\nu(E)\) is the sum of the weights of its points. Check that \(P=\{a,b\}\) is positive and that \(C=\{b\}\) is positive.

The four measurable subsets of \(P\) have values \(\nu(\varnothing)=0\), \(\nu(\{a\})=2\), \(\nu(\{b\})=1\), and \(\nu(\{a,b\})=2+1=3\). Each value is nonnegative, so \(P\) is positive. The subsets of \(C\) are \(\varnothing\) and \(\{b\}\), with values \(0\) and \(1\); hence \(C\) is positive as well. For comparison, \(N=\{c\}\) is negative: its subsets have values \(0\) and \(-3\).

Check: \(C\subseteq P\), and the values on both subsets of \(C\) are nonnegative, exactly as the subset proposition requires. Also, \(\nu(P)=3\) by summing the two weights, which agrees with the direct calculation above.

Countable Unions Preserve a Common Sign

For unions, the challenge is that the sets need not be disjoint. Countable additivity applies directly to disjoint sets, so the useful first step is to replace an overlapping sequence by disjoint pieces. Each piece remains inside one of the original sets, which is precisely where the subset proposition applies.

Theorem: If \((P_n)_{n\ge1}\) is a sequence of positive sets in \((X,\mathcal{M},\nu)\), then \(\bigcup_{n\ge1}P_n\) is positive. If \((N_n)_{n\ge1}\) is a sequence of negative sets, then \(\bigcup_{n\ge1}N_n\) is negative.

Proof. We prove the positive assertion first. Since \(\mathcal{M}\) is a sigma-algebra, \(P=\bigcup_{n\ge1}P_n\) is measurable. Define \(D_1=P_1\) and, for \(n\ge2\), \(D_n=P_n\setminus\bigcup_{j=1}^{n-1}P_j\). Each \(D_n\) is measurable, the \(D_n\) are pairwise disjoint, and \(\bigcup_nD_n=P\). Also \(D_n\subseteq P_n\), so the subset proposition implies that every \(D_n\) is positive.

Let \(E\in\mathcal{M}\) be any subset of \(P\). Then the sets \(E\cap D_n\) are measurable and pairwise disjoint, and their union is \(E\). Because \(E\cap D_n\subseteq D_n\) and \(D_n\) is positive, \(\nu(E\cap D_n)\ge0\) for every \(n\). Countable additivity gives \(\nu(E)=\sum_{n\ge1}\nu(E\cap D_n)\). This series consists entirely of nonnegative terms, so its value is nonnegative, including when it is \(+\infty\). Since this holds for every measurable \(E\subseteq P\), \(P\) is positive.

For the negative assertion, set \(D_1=N_1\) and \(D_n=N_n\setminus\bigcup_{j=1}^{n-1}N_j\) for \(n\ge2\). These measurable pieces are disjoint, have union \(N=\bigcup_nN_n\), and are negative by the subset proposition. For every measurable \(E\subseteq N\), each \(E\cap D_n\) has measure at most zero. Countable additivity gives \(\nu(E)=\sum_n\nu(E\cap D_n)\), a sum of nonpositive terms, so \(\nu(E)\le0\), allowing the value \(-\infty\). Thus \(N\) is negative. \(\square\)

The same statement includes finite unions by taking all later sets to be empty, since \(\varnothing\) has both signs. The disjoint pieces also show exactly why overlap causes no difficulty: each point is assigned to its first set in the sequence, and no point is counted twice.

Worked Example: Disjointizing Overlapping Positive Sets

Let \(X=\{a,b,c,d\}\), with all subsets measurable, and assign weights \(2,1,3,-4\) to \(a,b,c,d\), respectively. Set \(A=\{a,b\}\) and \(B=\{b,c\}\). Verify that \(A\) and \(B\) are positive, then compute their union by disjointization.

Every subset of \(A\) has weight \(0\), \(2\), \(1\), or \(2+1=3\); hence \(A\) is positive. Every subset of \(B\) has weight \(0\), \(1\), \(3\), or \(1+3=4\); hence \(B\) is positive. Use the ordered sequence \(A,B\). The disjoint pieces are \(D_1=A=\{a,b\}\) and \(D_2=B\setminus A=\{c\}\). Their values are \(\nu(D_1)=2+1=3\) and \(\nu(D_2)=3\). Therefore \(\nu(A\cup B)=3+3=6\).

To check positivity of the union directly, \(A\cup B=\{a,b,c\}\), and each of its subsets has a sum of some of the nonnegative weights \(2,1,3\), so every such sum is nonnegative. The total is \(2+1+3=6\), agreeing with the disjointized computation.

Intersections, Empty Families, and Mixed Signs

There is a useful consequence for intersections, but its measurability and empty-family qualifications matter. The intersection of a nonempty countable family of measurable sets is measurable. If all those sets are positive, their intersection is a measurable subset of any one member, so it is positive by the subset proposition. The same reasoning applies to negative sets. For a nonempty finite family, the result follows in the same way.

By convention, the union of an empty family is \(\varnothing\), and the intersection of an empty family is \(X\). The empty union is both positive and negative. An empty intersection is not automatically sign-definite: it is sign-definite only if \(X\) itself has the relevant sign. This distinction prevents an unjustified use of the subset argument when there is no member of the family to contain the intersection.

Worked Example: The Empty Intersection Need Not Be Sign-Definite

Let \(X=\{a,b\}\), let \(\mathcal{M}\) consist of all subsets, and set \(\nu(\{a\})=1\), \(\nu(\{b\})=-1\). Take the two sets \(A=\{a\}\) and \(B=\{b\}\). Then \(A\) is positive because its subsets have values \(0\) and \(1\), while \(B\) is negative because its subsets have values \(0\) and \(-1\).

Their intersection is \(\varnothing\), whose only subset has value \(0\); it is both positive and negative. Their union is \(X\), with \(\nu(X)=1+(-1)=0\), but \(X\) is neither positive nor negative: its subset \(\{b\}\) has value \(-1<0\), and its subset \(\{a\}\) has value \(1>0\).

The empty-family conventions give a separate check. The union of the empty family is \(\varnothing\), which is both signs. The intersection of the empty family is \(X\), which in this example is neither sign. Indeed, \(\nu(X)=0\) does not establish positivity or negativity, because the definitions test every measurable subset.

Common mistake: adding the values of overlapping sets. In the preceding four-point example, \(\nu(A)=2+1=3\) and \(\nu(B)=1+3=4\). Adding these gives \(7\), but that counts the shared point \(b\), of weight \(1\), twice. The actual union value is \(2+1+3=6\). The correction is to disjointize: \(A\) and \(B\setminus A\) have values \(3\) and \(3\), so countable additivity gives \(3+3=6\). Disjointization is not merely a device for calculating values; it is the step that lets the union proof use countable additivity correctly.

A second caution is that the theorem concerns unions of sets with a common sign. A union of a positive set and a negative set need not be either sign, as the two-point example shows. Nor does the theorem assert closure under arbitrary uncountable unions: an uncountable union of measurable sets need not be measurable, so it may not even be eligible for the definition.

Using the Closure Rules

These properties are useful whenever sign sets overlap or a sign condition must be checked on a larger measurable set. A family of positive sets can be replaced by its union without losing positivity, and the same is true for negative sets. When a calculation requires disjoint sets, the first-occurrence pieces \(D_n\) provide a systematic choice: they are measurable, disjoint, have the same union, and inherit the common sign. Conversely, a proposed sign set can be disproved by finding a single measurable subset with the wrong sign.

1
Check measurability.
Confirm that the set and every subset used in the sign test belong to \(\mathcal{M}\).
2
For a subset, use inheritance.
If the subset lies inside a positive or negative set, apply the defining condition to each of its measurable subsets.
3
For a countable union, remove overlaps.
Use \(D_1=P_1\) and \(D_n=P_n\setminus\bigcup_{j<n}P_j\), or the corresponding construction for negative sets.
4
Test the sign on an arbitrary subset.
Intersect that subset with each disjoint piece, apply its sign condition, and then use countable additivity.

In particular, a set's total signed measure by itself never replaces the subset test. The closure results work because every measurable piece has the appropriate sign before countable additivity is applied; the empty-family convention and the disjointization step ensure that this reasoning covers the cases where it is valid.

Check Your Understanding

For each question, distinguish a condition on the whole set from the defining condition on all measurable subsets.

  1. If \(P\) is positive and \(C\subseteq P\) is measurable, what must be checked to conclude that \(C\) is positive?
  2. Given positive sets \(P_1,P_2,\ldots\), define disjoint measurable sets with the same union and explain why each is positive.
  3. Why does \(\nu(E)=\sum_n\nu(E\cap D_n)\) imply \(\nu(E)\ge0\) in the positive-union proof?
  4. In the two-point example with weights \(1\) and \(-1\), why is the whole space neither positive nor negative even though its signed measure is zero?
  5. State the union and intersection of an empty family, and say which is always both positive and negative.