TheoremBase

Reduces every clause to the Lebesgue integral against the finite measures of the Jordan decomposition; the key step compares two splittings of the same signed measure as differences of finite measures, using that integrals of nonnegative functions add over sums of measures.

Proof

Throughout, a measurable function X→RX\to\mathbb{R} with values ≥0\ge0 lies in M+\mathcal{M}^{+}, and when it is integrable its integrals as an element of M+\mathcal{M}^{+} and of L1\mathcal{L}^{1} coincide; and for a measure ρ\rho and f∈L1(ρ)f\in\mathcal{L}^{1}(\rho), ∫f dρ=∫f+ dρ−∫f− dρ\int f\,d\rho=\int f^{+}\,d\rho-\int f^{-}\,d\rho (base). By the Hahn decomposition theorem (which uses the axiom of dependent choice), every finite signed measure on (X,F)(X,\mathcal{F}) has a Hahn set, so its Jordan decomposition exists. Let ν+,ν−\nu^{+},\nu^{-} and ν′+,ν′−\nu'^{+},\nu'^{-} be the Jordan decompositions of ν\nu and ν′\nu'; these are finite measures, and ∣ν∣=ν++ν−|\nu|=\nu^{+}+\nu^{-} setwise by Properties of the Total Variation: a Finite Measure, the Jordan Decomposition, Linear Combinations, the Total Variation Norm, and Integrability (ii).

Step 1: linearity. Let f,g∈L1(ν)=L1(∣ν∣)f,g\in\mathcal{L}^{1}(\nu)=\mathcal{L}^{1}(|\nu|) and a,b∈Ra,b\in\mathbb{R}. By linearity of the Lebesgue integral, af+bg∈L1(∣ν∣)=L1(ν)af+bg\in\mathcal{L}^{1}(|\nu|)=\mathcal{L}^{1}(\nu). By Properties of the Total Variation: a Finite Measure, the Jordan Decomposition, Linear Combinations, the Total Variation Norm, and Integrability (viii), ff and gg lie in L1(ν+)\mathcal{L}^{1}(\nu^{+}) and L1(ν−)\mathcal{L}^{1}(\nu^{-}), and linearity of the integrals against ν+\nu^{+} and ν−\nu^{-} gives

∫(af+bg) dν=∫(af+bg) dν+−∫(af+bg) dν−=a(∫f dν+−∫f dν−)+b(∫g dν+−∫g dν−)=a∫f dν+b∫g dν.\int(af+bg)\,d\nu=\int(af+bg)\,d\nu^{+}-\int(af+bg)\,d\nu^{-}=a\Bigl(\int f\,d\nu^{+}-\int f\,d\nu^{-}\Bigr)+b\Bigl(\int g\,d\nu^{+}-\int g\,d\nu^{-}\Bigr)=a\int f\,d\nu+b\int g\,d\nu .

This proves (i).

Step 2: the bound. Let f∈L1(ν)f\in\mathcal{L}^{1}(\nu). Then ∣f∣∈L1(∣ν∣)|f|\in\mathcal{L}^{1}(|\nu|), and f∈L1(ν±)f\in\mathcal{L}^{1}(\nu^{\pm}) by Properties of the Total Variation: a Finite Measure, the Jordan Decomposition, Linear Combinations, the Total Variation Norm, and Integrability (viii). The inequality ∣∫f dρ∣≤∫∣f∣ dρ|\int f\,d\rho|\le\int|f|\,d\rho for ρ=ν+,ν−\rho=\nu^{+},\nu^{-} and the identity of Properties of the Total Variation: a Finite Measure, the Jordan Decomposition, Linear Combinations, the Total Variation Norm, and Integrability (viii) give

∣∫f dν∣≤∣∫f dν+∣+∣∫f dν−∣≤∫∣f∣ dν++∫∣f∣ dν−=∫∣f∣ d∣ν∣.\Bigl|\int f\,d\nu\Bigr|\le\Bigl|\int f\,d\nu^{+}\Bigr|+\Bigl|\int f\,d\nu^{-}\Bigr|\le\int|f|\,d\nu^{+}+\int|f|\,d\nu^{-}=\int|f|\,d|\nu| .

This proves (ii).

Step 3: bounded functions. Let ff and CC be as in (iii). Since ∣ν∣|\nu| is a finite measure (Properties of the Total Variation: a Finite Measure, the Jordan Decomposition, Linear Combinations, the Total Variation Norm, and Integrability (i)), f∈L1(∣ν∣)=L1(ν)f\in\mathcal{L}^{1}(|\nu|)=\mathcal{L}^{1}(\nu) by Bounded Measurable Functions on a Finite Measure Space Are Integrable (i). The function with constant value C=C 1X(x)C=C\,\mathbf{1}_{X}(x) lies in M+\mathcal{M}^{+} and has integral C ∣ν∣(X)=C ∥ν∥C\,|\nu|(X)=C\,\|\nu\| against ∣ν∣|\nu|, and ∣f∣≤C|f|\le C pointwise; by monotonicity of the integral on M+\mathcal{M}^{+} and Step 2,

∣∫f dν∣≤∫∣f∣ d∣ν∣≤C ∥ν∥.\Bigl|\int f\,d\nu\Bigr|\le\int|f|\,d|\nu|\le C\,\|\nu\| .

This proves (iii).

Step 4: differences of finite measures. Let μ1,μ2\mu_{1},\mu_{2}, ff and CC be as in (iv). For every finite measure ρ\rho on (X,F)(X,\mathcal{F}), f∈L1(ρ)f\in\mathcal{L}^{1}(\rho) by Bounded Measurable Functions on a Finite Measure Space Are Integrable (i); and f∈L1(ν)f\in\mathcal{L}^{1}(\nu) by Step 3. Since ν+−ν−=ν=μ1−μ2\nu^{+}-\nu^{-}=\nu=\mu_{1}-\mu_{2} setwise, ν+(A)+μ2(A)=ν−(A)+μ1(A)\nu^{+}(A)+\mu_{2}(A)=\nu^{-}(A)+\mu_{1}(A) for every A∈FA\in\mathcal{F}: the finite measures ν++μ2\nu^{+}+\mu_{2} and ν−+μ1\nu^{-}+\mu_{1} of Nonnegative Combinations of Finite Measures and Their Integrals (i) are equal. So Nonnegative Combinations of Finite Measures and Their Integrals (ii) gives

∫f dν++∫f dμ2=∫f d(ν++μ2)=∫f d(ν−+μ1)=∫f dν−+∫f dμ1,\int f\,d\nu^{+}+\int f\,d\mu_{2}=\int f\,d(\nu^{+}+\mu_{2})=\int f\,d(\nu^{-}+\mu_{1})=\int f\,d\nu^{-}+\int f\,d\mu_{1},

and hence

∫f dν=∫f dν+−∫f dν−=∫f dμ1−∫f dμ2.\int f\,d\nu=\int f\,d\nu^{+}-\int f\,d\nu^{-}=\int f\,d\mu_{1}-\int f\,d\mu_{2}.

This proves (iv).

Step 5: linearity in the measure. Let ff and CC be as in (v). By (iii), applied to ν\nu, ν′\nu' and to the finite signed measures ν+ν′\nu+\nu' and cνc\nu, ff is integrable with respect to each of them. For finite measures ρ1,ρ2\rho_{1},\rho_{2} and real a1,a2≥0a_{1},a_{2}\ge0, ff lies in L1(ρ1)∩L1(ρ2)\mathcal{L}^{1}(\rho_{1})\cap\mathcal{L}^{1}(\rho_{2}) by Bounded Measurable Functions on a Finite Measure Space Are Integrable (i), so Nonnegative Combinations of Finite Measures and Their Integrals (ii) gives

∫f d(a1ρ1+a2ρ2)=a1∫f dρ1+a2∫f dρ2.(∗)\int f\,d(a_{1}\rho_{1}+a_{2}\rho_{2})=a_{1}\int f\,d\rho_{1}+a_{2}\int f\,d\rho_{2}.\tag{$*$}

Now ν+ν′=(ν++ν′+)−(ν−+ν′−)\nu+\nu'=(\nu^{+}+\nu'^{+})-(\nu^{-}+\nu'^{-}) setwise, a difference of finite measures, so Step 4 applied to ν+ν′\nu+\nu', then (∗)(*), give

∫f d(ν+ν′)=∫f dν++∫f dν′+−∫f dν−−∫f dν′−=∫f dν+∫f dν′.\int f\,d(\nu+\nu')=\int f\,d\nu^{+}+\int f\,d\nu'^{+}-\int f\,d\nu^{-}-\int f\,d\nu'^{-}=\int f\,d\nu+\int f\,d\nu' .

If c≥0c\ge0, then cν=cν+−cν−c\nu=c\nu^{+}-c\nu^{-} setwise, a difference of finite measures (Nonnegative Combinations of Finite Measures and Their Integrals (i) with μ2=μ1\mu_{2}=\mu_{1} and a2=0a_{2}=0), and Step 4 and (∗)(*) give ∫f d(cν)=c∫f dν+−c∫f dν−=c∫f dν\int f\,d(c\nu)=c\int f\,d\nu^{+}-c\int f\,d\nu^{-}=c\int f\,d\nu. If c<0c<0, then cν=∣c∣ν−−∣c∣ν+c\nu=|c|\nu^{-}-|c|\nu^{+} setwise, and likewise ∫f d(cν)=∣c∣∫f dν−−∣c∣∫f dν+=c∫f dν\int f\,d(c\nu)=|c|\int f\,d\nu^{-}-|c|\int f\,d\nu^{+}=c\int f\,d\nu. This proves (v).

Step 6: indicators. Let A∈FA\in\mathcal{F}. The indicator 1A\mathbf{1}_{A} is a nonnegative simple function, in particular measurable as a function into R\mathbb{R}, with ∣1A∣≤1|\mathbf{1}_{A}|\le1; so 1A∈L1(ν)\mathbf{1}_{A}\in\mathcal{L}^{1}(\nu) by Step 3. For every finite measure ρ\rho, ∫1A dρ=ρ(A)\int\mathbf{1}_{A}\,d\rho=\rho(A), so

∫1A dν=ν+(A)−ν−(A)=ν(A).\int\mathbf{1}_{A}\,d\nu=\nu^{+}(A)-\nu^{-}(A)=\nu(A).

This proves (vi).

Step 7: finite measures. Suppose ν(A)≥0\nu(A)\ge0 for every A∈FA\in\mathcal{F}. By Properties of the Total Variation: a Finite Measure, the Jordan Decomposition, Linear Combinations, the Total Variation Norm, and Integrability (iv), ν\nu is a finite measure with ∣ν∣=ν|\nu|=\nu, so the set L1(∣ν∣)\mathcal{L}^{1}(|\nu|) of Integrable Functions and the Integral with Respect to a Finite Signed Measure (i) is the set L1(ν)\mathcal{L}^{1}(\nu) of the base; and for ff in it, by the same clause, ∫f dν+−∫f dν−\int f\,d\nu^{+}-\int f\,d\nu^{-} is the Lebesgue integral of ff against ν\nu. This proves (vii).

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