Why Sigma-Finiteness Is a Separate Condition
A premeasure is defined on a ring of sets, not necessarily on a sigma-algebra. It may assign a finite value to every set in that ring while still failing to cover the underlying space by countably many such sets. Sigma-finiteness records the existence of a countable cover by ring sets of finite premeasure. That cover can then be arranged as an increasing exhaustion, a form that is useful for examining any one ring set.
Let \(X\) be a set, let \(\mathcal{R}\) be a ring of subsets of \(X\), and let \(\mu:\mathcal{R}\to[0,\infty]\) be a premeasure. Here a ring is a nonempty family closed under finite unions and differences; a premeasure is a nonnegative set function with \(\mu(\varnothing)=0\) that is countably additive whenever a disjoint sequence in \(\mathcal{R}\) has its union in \(\mathcal{R}\). We do not assume that \(\mathcal{R}\) is a sigma-algebra or that \(\mu\) has been extended to one.
Finite implies sigma-finite when \(X\in\mathcal{R}\): the single set \(X\) is a finite-measure cover. The converse need not hold. Also, finite-valuedness alone is not sigma-finiteness: a countable cover of the support is an additional requirement. The support convention handles rings that do not cover all of \(X\); sigma-finiteness concerns the part of \(X\) on which the ring has sets.
From a Cover to an Exhaustion
Proof. Suppose first that \(\mu\) is sigma-finite, and choose \(E_n\in\mathcal{R}\) with \(\mu(E_n)<\infty\) and \(\bigcup_n E_n=S\). Set \(F_n=\bigcup_{k=1}^n E_k\). Because a ring is closed under finite unions, \(F_n\in\mathcal{R}\), and the sequence is increasing with union \(S\). Finite additivity of a premeasure follows by applying countable additivity to a finite disjoint family, completed by empty sets. In particular, finite subadditivity gives \(\mu(F_n)\le\sum_{k=1}^n\mu(E_k)<\infty\). Conversely, any increasing sequence as in the proposition is itself a countable cover by finite-measure ring sets, which is the definition of sigma-finiteness. To obtain disjoint sets, let \(D_1=F_1\) and \(D_n=F_n\setminus F_{n-1}\) for \(n\ge2\). These sets belong to \(\mathcal{R}\), are pairwise disjoint, and have union \(S\). Since \(D_n\subseteq F_n\), monotonicity of a premeasure gives \(\mu(D_n)\le\mu(F_n)<\infty\). \(\square\)
The increasing version is often convenient: it includes all of the earlier cover sets by stage \(n\). The disjoint version is useful when applying countable additivity. Neither construction changes the underlying ring or requires a measure extension.
Worked Example: A Finite Premeasure on a Finite Space
Let \(X=\{a,b,c\}\), let \(\mathcal{R}=\mathcal{P}(X)\), and define \(\mu(A)=\sum_{x\in A}w(x)\), where \(w(a)=1\), \(w(b)=2\), and \(w(c)=3\). This is a premeasure: for any disjoint family whose union is \(A\), each point of \(A\) occurs in exactly one member, so the sum of the weights over the family is exactly the sum over \(A\).
Here \(X\in\mathcal{R}\) and \(\mu(X)=1+2+3=6<\infty\), so the premeasure is finite. The one-set cover \(E_1=X\) is already an exhaustion. For a disjoint exhaustion, take \(D_1=\{a\}\), \(D_2=\{b\}\), and \(D_3=\{c\}\). Their measures are \(1\), \(2\), and \(3\), and their sum is \(1+2+3=6=\mu(X)\). This checks both the total and the finite-cover condition.
What an Exhaustion Gives on Each Ring Set
Once an increasing finite-measure exhaustion is available, it can be intersected with any \(A\in\mathcal{R}\). These intersections are still in the ring, since rings are closed under differences and finite unions and hence under intersections. The resulting sets increase to \(A\), and their premeasures approach \(\mu(A)\), including when \(\mu(A)=\infty\).
Proof. Since \(A,F_n\in\mathcal{R}\), the intersection \(A\cap F_n=A\setminus(A\setminus F_n)\) is in \(\mathcal{R}\). The intersections increase with \(n\). Also \(A\subseteq S\), so every \(x\in A\) belongs to some \(F_n\); hence \(\bigcup_n(A\cap F_n)=A\). Define \(B_1=A\cap F_1\) and \(B_n=(A\cap F_n)\setminus(A\cap F_{n-1})\) for \(n\ge2\). The \(B_n\) are disjoint ring sets with union \(A\). By countable additivity of the premeasure, \(\mu(A)=\sum_{n=1}^{\infty}\mu(B_n)\). For each \(N\), finite additivity gives \(\mu(A\cap F_N)=\sum_{n=1}^{N}\mu(B_n)\). The partial sums of a nonnegative series increase to its sum, which proves the stated limit, including the case of an infinite sum. \(\square\)
Worked Example: Exhausting the Natural Numbers
Let \(X=\mathbb{N}=\{1,2,\ldots\}\), let \(\mathcal{R}=\mathcal{P}(\mathbb{N})\), and let \(\mu(A)\) be the number of elements of \(A\) when \(A\) is finite and \(+\infty\) when \(A\) is infinite. This is counting measure, and it is a premeasure: for a disjoint sequence, the number of elements in the union is the sum of the numbers in the pieces, with \(+\infty\) allowed.
Set \(F_n=\{1,\ldots,n\}\). Then \(F_n\in\mathcal{R}\), \(F_n\subseteq F_{n+1}\), \(\bigcup_nF_n=\mathbb{N}\), and \(\mu(F_n)=n<\infty\) for every \(n\). Thus \(\mu\) is sigma-finite. It is not finite, because \(\mu(\mathbb{N})=+\infty\). For the particular set \(A=\{2,4,6,\ldots\}\), the intersection \(A\cap F_n\) contains exactly the even integers from \(2\) through \(n\). Its measure is \(\lfloor n/2\rfloor\), which tends to \(+\infty=\mu(A)\). For example, at \(n=6\) the intersection is \(\{2,4,6\}\), with measure \(3=\lfloor6/2\rfloor\). The increasing finite pieces therefore recover the infinite value, as the proposition says.
Check: \(F_6=\{1,2,3,4,5,6\}\) has six elements, and \(A\cap F_6=\{2,4,6\}\) has three. The computed measures agree with their cardinalities.
When Finite Values Do Not Give Sigma-Finiteness
Worked Example: Finite Sets in an Uncountable Space
Let \(X\) be uncountable, let \(\mathcal{R}\) consist of all finite subsets of \(X\), and define \(\mu(A)=|A|\). The family \(\mathcal{R}\) is a ring: finite unions and differences of finite sets are finite. The function \(\mu\) is a premeasure, since for disjoint finite sets whose union is in \(\mathcal{R}\), the cardinality of the union is the sum of the cardinalities.
Every ring set has finite premeasure. Nevertheless, \(\mu\) is not sigma-finite on this ring. If \(E_1,E_2,\ldots\) were a countable cover by ring sets, then each \(E_n\) would be finite, and \(\bigcup_nE_n\) would be countable: it is a countable union of finite sets. It cannot equal the uncountable support \(S=X\). Thus no countable finite-measure exhaustion exists. This proves that “every ring set has finite premeasure” is weaker than sigma-finiteness.
Check: for any proposed sequence, the union contains at most countably many points because it is a countable union of finite sets. By uncountability of \(X\), at least one point of \(X\) is missing, so the sequence cannot be an exhaustion.
Common Pitfall: Confusing Finite-Valued with Finite
A frequent error is to reason that if every set in the domain has finite premeasure, then the premeasure must be finite or sigma-finite. The uncountable finite-subset example disproves sigma-finiteness. A different distinction appears on \(\mathbb{N}\): counting measure on \(\mathcal{P}(\mathbb{N})\) has sets of infinite premeasure, but it is sigma-finite by the exhaustion \(F_n=\{1,\ldots,n\}\). Finite-valuedness is therefore neither the definition nor a substitute for sigma-finiteness.
Another error is to call a premeasure finite by informally assigning a value to \(X\) when \(X\notin\mathcal{R}\). The premeasure is defined only on \(\mathcal{R}\); unless \(X\) belongs to the ring, \(\mu(X)\) has no value at this stage. In that setting, use the precise question: does a countable family of finite-premeasure ring sets cover the support?
| Example | Finite? | Sigma-finite? | Reason |
|---|---|---|---|
| Weighted counting on \(\{a,b,c\}\) | Yes; \(\mu(X)=6\) | Yes | The single set \(X\) has finite premeasure. |
| Counting measure on \(\mathbb{N}\) | No; \(\mu(\mathbb{N})=\infty\) | Yes | The sets \(\{1,\ldots,n\}\) exhaust \(\mathbb{N}\). |
| Counting premeasure on finite subsets of uncountable \(X\) | Not a finite total on \(X\) | No | A countable union of finite sets is countable. |
Check Your Understanding
For each question, distinguish the domain of the premeasure from the set being covered.
- If \(X\in\mathcal{R}\) and \(\mu(X)<\infty\), give a one-set finite-measure cover of the support.
- For an increasing finite-measure exhaustion \(F_n\) of \(S\), explain why \(A\cap F_n\) increases to \(A\) for every \(A\in\mathcal{R}\).
- Why does the ring of finite subsets of an uncountable set fail to be sigma-finite even though each of its sets has finite premeasure?
- For counting measure on \(\mathbb{N}\), compute \(\mu(\{2,4,6,8\}\cap F_7)\), where \(F_7=\{1,\ldots,7\}\), and compare it with \(\lfloor7/2\rfloor\).
- If \(X\notin\mathcal{R}\), why is “\(\mu(X)<\infty\)” not a valid statement about the premeasure?